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director enterprise delivery experience

The Home Depot

<p>Position Purpose:<br/></p><p>As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives.<br/></p><p>In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization.<br/></p><p>Key Responsibilities:<br/></p><p>30% Delivery &amp; Execution:<br/>Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions<br/>Documents, reviews and ensures that all quality and change control standards are met<br/>Writes custom code or scripts to automate infrastructure, monitoring services, and test cases<br/>Works with vendors and partners for the successful implementation of critical tooling and platforms<br/>Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively<br/>Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment<br/>Evaluates new technologies for adoption across the enterprise<br/>Participates in and leads review board sessions to drive consistency across the enterprise<br/>Fills in on product teams for engineers who are out of the office<br/>10% Support &amp; Enablement:<br/>Fields questions from engineers, product teams, or support teams<br/>Monitors tools and participates in conversations to encourage collaboration across product teams<br/>Provides application support for software running in production<br/>Acts as a technical escalation point for the engineers on the team<br/>50% People:<br/>Provides leadership, mentoring, and coaching to Software Engineers<br/>Attracts, retains, and develops top talent to build a world class Software Engineering Team<br/>Conducts annual and mid-year reviews by reviewing individual development plans and team feedback<br/>Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests<br/>Acts as a proponent of modern software development practices<br/>Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams<br/>Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)<br/>10% Learning:<br/>Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations<br/>Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel 5% to 20% of the time.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/>Mastery of an object oriented programming language (preferably Java)<br/>Must be legally permitted to work in the United States<br/></p><p>Preferred Qualifications:<br/></p><p>7-9 years of relevant work experience<br/></p><ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul><p>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale<br/></p><p>Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines<br/></p><ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul><p>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance<br/></p><ul><li>Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes</li><li>Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases</li></ul><p>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores<br/></p><ul><li>Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms</li><li>Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques</li><li>Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred</li><li>Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality</li><li>Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness</li><li>Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues</li><li>Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions</li><li>Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals</li><li>Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity</li><li>Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment</li><li>Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes</li><li>Experience managing vendor relationships, third-party platforms, or external technology partners when needed</li></ul><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>7<br/></p><p>Preferred Years of Work Experience:<br/></p><p>5 years of experience data and ML space<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs<br/>Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders<br/>Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals<br/>Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Develops Talent: Developing people to meet both their career goals and the organization's goals<br/>Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives<br/>Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action<br/>Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear<br/>Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics<br/>Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations<br/></p>

Software Engineer Manager, AI/ML Platforms

Truist

<div><p><b>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.</b></p><p></p><p>
Need Help?</p><p></p><p><i>
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to </i><i>Accessibility</i><i> (accommodation requests only; other inquiries won't receive a response).</i></p><p></p><p><b>
Regular or Temporary:</b></p>
Regular<p></p><p><b>
Language Fluency: </b>English (Required)</p><p></p><p><b>
Work Shift:</b></p>
1st shift (United States of America)<p></p><h3 class="jobSectionHeader"><b>
Please review the following job description:</b></h3><p></p>
We are seeking a Director of Business Data Products &amp; Enablement (BDPE) to lead the development and delivery of scalable, product-based data solutions across Deposits and Lending within Consumer &amp; Small Business Banking (CSBB).<br>
This role is accountable for defining and executing a product-driven data strategy, transforming fragmented reporting and analytics into standardized, governed, and reusable data products that drive measurable business value.<br>
The Director will act as a bridge between business and technology, ensuring that data products are aligned to business priorities, built with high quality and governance, and adopted effectively to enable faster, more consistent decision-making.<p></p><p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b><br>
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.<br>
1. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables.<br>
2. Lead a team of Data and Analytics professionals. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team.<br>
3. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact.<br>
4. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals.<br>
5. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization.<br>
6. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI &amp; machine learning, self-service enablement and data visualization for the line of business partners.<br>
7. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.<br>
8. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science &amp; predictive analytics delivery against shared objectives.<br>
9. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.</p><p></p><p><b>
QUALIFICATIONS</b><br>
<b>Required Qualifications:</b><br>
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<br>
1. Bachelor&rsquo;s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering<br>
2. 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results.<br>
3. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights.<br>
4. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact.<br>
5. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact.<br>
6. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact.<br>
7. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness.<br>
8. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).</p><p></p><p><b>
Preferred Qualifications:</b></p><p>
1. Experience with modern data platforms (e.g., cloud, Snowflake, BI tools)</p><p>
2. Prior working experience with data governance frameworks, and risk controls</p><p>
3. Experience in AI/advanced analytics enablement for Agentic and traditional applications</p><p>
4. Experience in data, analytics, product management, or BI delivery in Consumer Banking
</p><p>5. Demonstrated ability to:
</p><p> Translate business strategy into executable data solutions</p><p>
 Lead cross-functional teams and influence senior stakeholders</p><p>
 Deliver measurable business outcomes through data and analytics</p><p></p><p><b>
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: </b>All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.</p><p></p><p><b><i>
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.</i></b></p><p></p><p>
EEO is the Law E-Verify IER Right to Work</p></div>

Director, Business Data Products & Enablement (BDPE) - Deposits & Lending

Blu Omega LLC

<div><div><b>Senior Data Engineer</b><br>
<b>Atlanta, GA / Hybrid</b><br>
<b>Clearance Level and/or eligibility Required</b><br>
</div><div>Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions.<br>
</div><div><b>Program Overview</b><br>
<b>Mission overview:</b> Supporting large-scale data modernization efforts within a government health agency.</div>
<div><br>
<b>Key Details</b><br>
<b>Location:</b> Atlanta, GA / Hybrid<br>
<b>Clearance:</b> Public Trust Eligibility<br>
<b>Work Authorization:</b> U.S. Citizenship or Permanent Residency is required as a precondition of employment.<br>
<b>Schedule: </b>Standard business hours; onsite 1-2 days per week</div>
<div><br>
<b>Responsibilities</b></div>
<ul><li>Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
</li><li>Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
</li><li>Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
</li><li>Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
</li><li>Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
</li><li>Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
</li><li>Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
</li></ul><div><b>Required Qualifications</b></div>
<ul><li>8+ years of experience in data engineering, software engineering, or database architecture
</li><li>6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
</li><li>2+ years of experience with cloud data ecosystems like Azure Data Factory
</li><li>1+ years of experience with modern data processing frameworks like Databricks
</li><li>Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
</li><li>Knowledge of relational and NoSQL databases, data modeling, and schema design
</li><li>Knowledge of data governance, security, and compliance principles for enterprise data environments
</li></ul><div><b>Preferred Qualifications</b></div>
<ul><li>Experience supporting key data engineering efforts in a government environment
</li><li>Experience collaborating with data scientists and analysts to define data models
</li><li>Knowledge of IT infrastructure practices and data access methodologies
</li><li>Knowledge of advanced data security practices, governance policies, and compliance frameworks
</li><li>Azure Data Engineer Associate certification
</li></ul><div><b>Compensation</b><br>
Salary Range: $150,000.00 - $165,000.00<br>
<i>Final compensation is based on technical skills, experience, education, certifications, and clearance.</i><br>
</div><div><b>Blu Omega Benefits &amp; Perks</b></div>
<ul><li>Medical, Dental, and Vision coverage through national providers
</li><li>401(k) with company match (eligible after 6 months; vesting applies)
</li><li>Company-paid Life and AD&amp;D insurance with additional voluntary options
</li><li>Short-term disability (company-paid) and long-term disability options
</li><li>Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
</li><li>Telehealth and virtual care options available through medical plans
</li><li>Pet insurance, legal services, and identity theft protection options
</li><li>Paid Time Off (PTO) for eligible employees
</li><li>Paid federal holidays for salaried employees
</li><li>Access to wellness programs, discounts, and lifestyle benefits
</li><li>Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
</li></ul><div><b>Company Overview</b><br>
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments.<br>
<br>
We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.<br>
<br>
<b>Equal Opportunity Employer</b><br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</i><br>
<i>
</i><br>
<i>#CJ #LI-Hybrid</i></div></div>

Senior Data Engineer (s)

Booz Allen Hamilton

<div>AL/ML Technical Lead<p><b>
The Opportunity:</b></p><p>
As an AI/ML Technical Lead, you will define and drive the technical direction of mission-critical AI systems supporting Public Health and Safety. You will lead the design and implementation of scalable machine learning and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure reliability, safety, and mission alignment.</p><p></p><p>
You will serve as a technical authority across a community of engineers, partnering with data engineers, architects, product owners, and stakeholders to shape enterprise AI strategy, architecture standards, and delivery practices. Your work will span end-to-end AI system design&mdash;from data pipelines and modeling to agent orchestration, memory or state management, retrieval optimization, and production deployment.</p><p></p><p>
In this role, you will also lead the development of AI evaluation strategies, prompt engineering workflows, and governance frameworks using tools such as MCP, Prompt Buddy, Codex, Claude, and OpenEvidence. You will ensure systems are performant, explainable, secure, and compliant with public health data privacy and ethical standards. This position is located in Atlanta, GA.</p><p></p><p><b>
What You'll Work On:</b></p><ul><li><p>
Lead the design and development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications.</p></li><li><p>
Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines.</p></li><li><p>
Define AI evaluation frameworks covering performance benchmarking, retrieval optimization, safety validation, and production monitoring.</p></li><li><p>
Design and implement agent architectures with memory, state management, orchestration, and structured or unstructured data interaction.</p></li><li><p>
Integrate advanced AI tools such as Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms.</p></li><li><p>
Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems.</p></li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
5+ years of experience designing, developing, and deploying machine learning and AI solutions using Python</p></li><li><p>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG systems in enterprise environments</p></li><li><p>
3+ years of experience with AI agents, MCP frameworks, or AI evaluation strategy development</p></li><li><p>
Experience with ML frameworks such as TensorFlow or PyTorch for production model development</p></li><li><p>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</p></li><li><p>
Experience with MLOps platforms such as MLflow and cloud environments such as Azure or Databricks</p></li><li><p>
Experience integrating or working with AI tooling such as Codex, Claude, Prompt Buddy, or OpenEvidence in enterprise settings</p></li><li><p>
Knowledge of public health, healthcare, or government data systems and associated governance practices</p></li><li><p>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</p></li><li><p>
Bachelor's degree in Computer Science, Engineering, or Data Science</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience working in healthcare, biomedical, or government public health AI/ML environments</p></li><li><p>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</p></li><li><p>
Experience with conversational AI, chatbot systems, or full-stack AI application development</p></li><li><p>
Experience with containerization, CI/CD, orchestration, and production MLOps pipelines</p></li><li><p>
Experience with Agile delivery environments and tools such as JIRA</p></li><li><p>
Experience writing technical documentation and presenting AI/ML architecture decisions to a broad range of audiences</p></li><li><p>
Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</p></li><li><p>
Knowledge of AI systems for retrieval, ranking, and decision-support in high-stakes environments</p></li><li><p>
Ability to collaborate effectively in matrixed, cross-functional organization and design and deploy scalable AI systems involving retrieval optimization, memory or state management, and agent orchestration</p></li><li><p>
Master's degree in Computer Science, Data Science, AI/ML, or a related field</p></li></ul><p></p><p><b>
Vetting:</b></p><p>
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Technical Lead

Womble Bond Dickinson

<p></p><div><div><div><div><div><div><div><div><b>Job Category</b><b>:</b> Z - Technology
</div></div><div><div><b>Requisition Number</b><b>:</b> SOFTW001329</div></div></div><p></p><div><div><div><div><br>
</div></div></div></div></div><br>
</div></div></div><div><div><div><div><div><div>Posting Details</div>
<ul><div><ul><div>Posted: June 30, 2026
</div></ul></div><p>Full-Time
</p><div><div><div>Locations</div>
<div>
</div><div><p>Atlanta, GA 30309, USA</p><br>
</div>
</div></div></ul></div><div><div><div><div>Job Details</div>
</div><div><p>Description</p>
</div><div><div><p>Womble Bond Dickinson (US) LLP seeks a Software Engineer to join our team. The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI systems across the Microsoft stack. The role spans full-stack application development, modern data platform engineering, and AI agent delivery &mdash; working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready solutions aligned to business and legal operations needs. The candidate may work remotely from any one of our Womble locations.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Design, develop, and maintain web applications, APIs, and backend services using C#, .NET, Blazor, React, and TypeScript</li>
<li>Build and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse</li>
<li>Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2</li>
<li>Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functions</li>
<li>Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and Boomi</li>
<li>Architect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio &mdash; including document ingestion, vectorization, grounding, and prompt engineering</li>
<li>Integrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance models</li>
<li>Implement observability, telemetry, and exception reporting across applications, data pipelines, and AI systems</li>
<li>Document data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainability</li>
<li>Participate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategy</li>
<li>Use Git and Azure DevOps for version control, release management, and collaboration</li>
</ul>
<p><b>REQUIREMENTS:</b></p>
<ul>
<li>Strong proficiency in C# and .NET for application and backend service development<br>
Hands-on experience with Blazor, React, and TypeScript for modern web development</li>
<li>5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise required</li>
<li>Experience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integration</li>
<li>Proven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworks</li>
<li>Practical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governance</li>
<li>Familiarity with medallion architecture, dimensional modeling, and enterprise data warehouse design</li>
<li>Understanding of data governance, security, and compliance in a legal context</li>
<li>Experience with low-code/no-code platforms including Microsoft Power Platform<br>
Proficiency with Git and Azure DevOps</li>
<li>Ability to explain technical decisions, AI behavior, and data architecture to non-technical stakeholders</li>
<li>Bachelor's degree in Computer Science or equivalent experience</li>
</ul>
<p>Compensation: The national average salary range for this role is $72,000 - $121,000. Starting salary will be determined based on location, qualifications, and experience.&rdquo;</p>
<p>
Candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate.</p>
<p><b>
This position is subject to export control laws</b><b><i>.</i></b></p><br>
<p><b>
BENEFITS:</b></p>
<p>
Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays</p></div>
</div></div><p></p><div><div><p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div></div></div></div></div></div></div></div>

Software Engineer

U.S. Bank

<p></p><div><p>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p></p><div><div><p>
Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we&rsquo;re one of the country&rsquo;s most respected, innovative, ethical and successful financial institutions. We&rsquo;re looking for people who want more than just a job &ndash; they want to make a difference! U.S. Bank is seeking a <b>Platform Engineer</b> who will contribute toward the success of our technology initiatives as part of our enterprise API, AI, and platform engineering transformation journey.</p></div><p></p><div><p><b>
About the Team</b></p></div><div><p>
The Platform Engineering team designs, builds, and operates secure, compliant, and scalable <b>API, AI, and cloud-native platforms</b> that power digital services across the organization. We function as a <b>platform engineering organization</b>, enabling domain teams to accelerate delivery through <b>self-service infrastructure, strong governance, and automation-first design</b>.</p></div><div><p>
We partner closely with <b>Cloud Engineering, IAM, Information Security, Networking, and FinOps teams</b> to ensure our platforms meet regulatory expectations while delivering a high-quality developer experience. Our mission is to enable <b>secure, standardized, and high-performance platform ecosystems</b> across hybrid and multi-cloud environments while enforcing enterprise standards through automation and policy-driven controls.</p></div><p></p><div><p><b><br>
Job Responsibilities</b></p></div><div><ul><li><p>
Design, build, and operate the <b>enterprise API and AI platform</b> supporting multiple business domains (Finance, HR, Supply Chain)</p></li></ul></div><div><ul><li><p>
Own the <b>API and AI gateway platform lifecycle</b>, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery</p></li></ul></div><div><ul><li><p>
Develop, deploy, and manage <b>API proxies, shared flows, and gateway policies</b> to enable secure and scalable API exposure</p></li></ul></div><div><ul><li><p>
Design and implement <b>multi-cloud gateway architectures</b> leveraging Apigee, AWS API Gateway, and Azure API Management</p></li></ul></div><div><ul><li><p>
Implement <b>secure network connectivity</b>, including Azure Private Link, private endpoints, Private DNS Zones, and network policy enforcement</p></li></ul></div><div><ul><li><p>
Develop and maintain <b>Terraform modules</b> to automate provisioning and lifecycle management of API gateway and platform resources</p></li></ul></div><div><ul><li><p>
Enable <b>self-service platform consumption</b> through validated YAML manifests and automated deployments via CI/CD pipelines (e.g., Shield CI/CD)</p></li></ul></div><div><ul><li><p>
Integrate platform and gateway capabilities with <b>Entra ID (Azure AD)</b> using SAML SSO, SCIM provisioning, and enterprise RBAC patterns</p></li></ul></div><div><ul><li><p>
Manage <b>service authentication, secrets, and key rotation</b> using HashiCorp Vault and Azure Key Vault</p></li></ul></div><div><ul><li><p>
Implement and enforce <b>API security controls</b>, including OAuth 2.0, JWT, API keys, mTLS, and threat protection policies</p></li></ul></div><div><ul><li><p>
Enforce <b>security and compliance controls</b>, including audit logging, policy-as-code, tagging, access controls, and governance standards</p></li></ul></div></div><div><div><ul><li><p>
Embed <b>infrastructure and</b><b> </b><b>supply-chain</b><b> </b><b>security scanning</b> into CI/CD pipelines.</p></li></ul></div><div><ul><li><p>
Design and implement <b>GraphQL</b><b> </b><b>gateway architectures</b> for backend orchestration and modern API consumption patterns</p></li></ul></div><div><ul><li><p>
Design for <b>resiliency and cost efficiency</b>, including resource optimization, capacity planning, cost allocation, and chargeback models</p></li></ul></div><div><ul><li><p>
Own <b>cross-region disaster recovery strategies</b>, replication design, and RPO/RTO adherence for platform services</p></li></ul></div><div><ul><li><p>
Implement <b>observability and monitoring</b> using tools such as Prometheus, Grafana, Splunk, Datadog, and AppDynamics</p></li></ul></div><div><ul><li><p>
Lead <b>incident response, troubleshooting, and root cause analysis (RCA)</b> for platform and gateway-related issues</p></li></ul></div><div><ul><li><p>
Govern <b>secure data and API sharing patterns</b>, ensuring proper access controls, auditing, and usage monitoring</p></li></ul></div><div><ul><li><p>
Partner with Cloud, IAM, Security, Networking, and FinOps teams to ensure alignment with <b>enterprise architecture and regulatory requirements</b></p></li></ul></div><div><ul><li><p>
Provide <b>technical leadership and mentorship</b> to engineering teams and drive platform adoption and best practices</p></li></ul></div><p></p><div><p><b><br>
Basic Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree, or equivalent work experience</p></li></ul></div><div><ul><li><p>
Six to eight years of relevant experience</p></li></ul><p></p><div><div><p><b>
Preferred Skills &amp; Experience</b></p></div><div><ul><li><p>
7+ years of experience in <b>platform engineering, API gateway engineering, or cloud infrastructure</b></p></li></ul></div><div><ul><li><p>
Strong hands-on expertise with <b>Apigee (OPDK, Hybrid)</b> including <b>platform architecture, proxy development, deployment, and troubleshooting</b></p></li></ul></div><div><ul><li><p>
Proven experience in <b>enterprise API gateway engineering</b>, including:</p></li></ul></div></div><div><div><ul><li><p>
API proxy lifecycle (design, build, deploy, operate)</p></li></ul></div><div><ul><li><p>
Traffic management, mediation, transformation, caching, and analytics</p></li></ul></div><div><ul><li><p>
Gateway performance tuning and high-throughput optimization</p></li></ul></div><div><ul><li><p>
Strong <b>systems engineering / systems administration background</b>, including:</p></li></ul></div><div><ul><li><p>
Linux/Unix system administration</p></li></ul></div><div><ul><li><p>
Networking fundamentals (DNS, TCP/IP, load balancing, TLS, firewalls)</p></li></ul></div><div><ul><li><p>
Troubleshooting at OS, network, and application layers</p></li></ul></div><div><ul><li><p>
Experience operating and supporting <b>large-scale distributed systems and platforms in production environments</b></p></li></ul></div><div><ul><li><p>
Hands-on experience with <b>Apigee platform installation, configuration, upgrades, and operations</b> (OPDK or Hybrid)</p></li></ul></div><div><ul><li><p>
Deep understanding of <b>API security standards</b>, including OAuth 2.0, JWT, mTLS, API key management, and secure token flows</p></li></ul></div><div><ul><li><p>
Experience with <b>Kubernetes platforms (EKS, AKS, GKE)</b> and containerized workloads</p></li></ul></div><div><ul><li><p>
Strong experience building and maintaining <b>CI/CD pipelines for platform and API deployments</b></p></li></ul></div><div><ul><li><p>
Experience with <b>Infrastructure-as-Code (Terraform, Helm, Ansible)</b> for provisioning and managing platform resources</p></li></ul></div><div><ul><li><p>
Experience integrating platforms with <b>enterprise identity providers</b> (Entra ID / Azure AD, SAML, RBAC)</p></li></ul></div><div><ul><li><p>
Hands-on experience with <b>secrets management</b> (HashiCorp Vault, Azure Key Vault)</p></li></ul></div><div><ul><li><p>
Strong understanding of <b>networking architecture</b>, including private connectivity, ingress, reverse proxies, and gateway integration patterns</p></li></ul></div><div><ul><li><p>
Experience with <b>observability and monitoring tools</b> (Prometheus, Grafana, Splunk, Datadog, ELK)</p></li></ul></div><div><ul><li><p>
Strong troubleshooting and debugging skills across <b>API gateways, Kubernetes, networking, and backend integrations</b></p></li></ul></div><div><ul><li><p>
Ability to work across <b>development, platform, and operations domains</b>, bridging gaps between application and infrastructure teams</p></li></ul></div><div><ul><li><p>
Experience with WAF / Akamai platform Integration with Gateways</p></li></ul></div></div><div><div><ul><li><p>
Hands-on experience designing and implementing <b>Azure Load Balancer, Azure Application Gateway, and Azure Front Door</b></p></li></ul></div><div><ul><li><p>
Strong experience with <b>AWS</b><b> </b><b>load</b><b> </b><b>balancing services</b>, including <b>ALB, NLB, and API Gateway integrations</b></p></li></ul></div><div><ul><li><p>
Experience configuring and troubleshooting <b>F5 BIG-IP (LTM/GTM)</b> for enterprise traffic management</p></li></ul></div><div><ul><li><p>
Deep understanding of <b>Layer 4 and Layer 7 load balancing patterns</b></p></li></ul></div><div><ul><li><p>
Experience with <b>SSL/TLS termination, certificate management, and</b><b> </b><b>mTLS</b><b> </b><b>configurations</b></p></li></ul></div><div><ul><li><p>
Knowledge of <b>DNS routing, traffic steering, failover, and global load balancing strategies</b></p></li></ul></div><div><ul><li><p>
Experience integrating <b>load balancers with API gateways (Apigee) and Kubernetes ingress controllers</b></p></li></ul></div><div><ul><li><p>
Hands-on experience troubleshooting <b>network latency, connection failures, TLS handshake issues, and routing problems across environments</b></p></li></ul></div><p></p><div><p><b><br>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience designing and operating <b>enterprise API platforms at scale (Apigee Hybrid / multi-cloud gateway architectures)</b></p></li></ul></div><div><ul><li><p>
Experience evaluating and implementing <b>AWS API Gateway, Azure API Management</b>, or other modern gateway solutions</p></li></ul></div><div><ul><li><p>
Experience designing or implementing <b>GraphQL</b><b> </b><b>gateway architectures or federated APIs</b></p></li></ul></div><div><ul><li><p>
Exposure to <b>AI / GenAI gateway platforms</b>, including secure access and model routing</p></li></ul></div><div><ul><li><p>
Experience working in <b>regulated environments</b> (financial services, healthcare, etc.)</p></li></ul></div><div><ul><li><p>
Familiarity with <b>DevOps and SRE practices</b>, including SLIs, SLOs, error budgets, and reliability engineering</p></li></ul></div><div><ul><li><p>
Knowledge of <b>Kubernetes networking, ingress controllers, and service mesh concepts</b></p></li></ul></div><div><ul><li><p>
Relevant certifications in <b>cloud platforms, Kubernetes, or API management technologies</b></p></li></ul></div><div><p>
 <b>***This role requires working from a U.S. Bank location three (3) or more days per week.***</b></p></div></div></div></div><p></p><p>
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
</p><p></p><p><b>Benefits:</b></p><p>
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:</p><ul><li><p>
Healthcare (medical, dental, vision)</p></li><li><p>
Basic term and optional term life insurance</p></li><li><p>
Short-term and long-term disability</p></li><li><p>
Pregnancy disability and parental leave</p></li><li><p>
401(k) and employer-funded retirement plan</p></li><li><p>
Paid vacation (from two to five weeks depending on salary grade and tenure)</p></li><li><p>
Up to 11 paid holiday opportunities</p></li><li><p>
Adoption assistance</p></li><li><p>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</p></li></ul><p></p><p>
Review our full benefits available by employment status here.
</p><p></p><p>U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.</p><p></p><p><b>
E-Verify</b></p><p>
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.</p><p></p>
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00<p></p><p>
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.</p><p></p><p>
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.</p><p></p><p><b>
Posting may be closed earlier due to high volume of applicants.</b></p></div>

Lead Software Engineer(Platform)

<div><p><b>The Opportunity:
</b></p><p>As an experience d engineer, you know that machine learning ( ML ) and AI evaluation are critical to understanding and operationalizing massive datasets in support of public health and safety missions. Your ability to evaluate, optimize, and deploy AI-driven systems makes you an integral part of delivering mission-focused solutions for scientists, analysts, and leadership teams.</p>
<p></p><p>In this role, you&rsquo;ll help define and implement scientific AI evaluation and enablement initiatives by translating advanced AI capabilities into practical, mission-specific workflows. You&rsquo;ll collaborate with a large community of ML engineers, data scientists, architects, and product teams to design scalable ML and Generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks.</p>
<p></p><p>You&rsquo;ll apply technical expertise across AI evaluation, retrieval optimization, memory and state management, and AI agent architecture to support real-time insights and decision-making. Your work will also contribute to enterprise MLOps capabilities, data governance standards, and ethical AI practices within regulated public health environments. This position is located in Atlanta, GA.</p>
<p></p><p><b>What You'll Work On:
</b></p><ul><li>Build and maintain scalable data pipelines using PySpark and Palantir Foundry to support AI, analytics, and scientific evaluation workflows.</li>
<li>Design and implement ML and Generative AI workflows, including AI agents, RAG pipelines, and AI evaluation frameworks.</li>
<li>Integrate advanced AI technologies such as Codex and Claude, to support mission-specific workflows, real-time insights, and decision-making capabilities.</li>
<li>Develop evaluation strategies covering model quality, retrieval optimization, benchmarking, and performance monitoring for deployed AI systems.</li>
<li>Design AI architectures supporting memory, state management, structured and unstructured public health data interaction, and scalable agent orchestration.</li>
<li>Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI / ML systems and public health data environments.</li>
</ul><p></p><p>Join us. The world can&rsquo;t wait.</p>
<p></p><p><b>You Have:
</b></p><ul><li>5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications, and designing, developing, and deploying ML models and AI solutions using Python</li>
<li>3+ years of experience with AI agents and AI evaluation strategies in enterprise environments</li>
<li>2+ years of experience with Deep Research evaluation met hodologies and AI evaluation workflows</li>
<li>Experience with ML frameworks such as TensorFlow or PyTorch, for production-grade model development</li>
<li>Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li>
<li>Experience with MLOps platforms such as MLflow and cloud environments, including Azure</li>
<li>Knowledge of public health, healthcare, or government data systems and asso cia ted governance practices</li>
<li>Ability to design and optimize AI systems involving retrieval workflows, memory or state management, and real-time decision-support capabilities</li>
<li>Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
</li><li>Bachelor's degree in CS, Engineering, or Data Science</li>
</ul><p></p><p><b>Nice If You Have:
</b></p><ul><li>Experience working in healthcare, biomedical, or government public health AI / ML environments</li>
<li>Experience with conversational AI, chatbot systems, or full-stack AI application development</li>
<li>Experience with containerization, CI / CD, orchestration, and production MLOps pipelines</li>
<li>Experience with Agile delivery environments and tools such as Jira</li>
<li>Experience writing technical documentation and presenting AI / ML solutions to various audiences</li>
<li>Experience integrating enterprise AI tools such as Codex, Claude, or similar AI enablement platforms</li>
<li>Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li>
<li>Knowledge of AI systems for retrieval, ranking, and scientific evaluation use cases</li>
<li>Ability to collaborate effectively in matrixed, cross-functional organizations</li>
<li>Master's degree in CS, Data Science, ML, or a related field</li>
</ul><p></p><p><b>Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .</p>
<p></p><p><b>Compensation
</b></p><p>At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p>
<p></p>Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
<p></p><p><b>Identity Statement
</b></p><p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p>
<p></p><p><b>Candidate AI Usage Policy
</b></p><p>AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided </b>.</p>
<p></p><p><b>Work Model
</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p>
<ul><li><p><b>Remote </b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p>
</li><li><p><b>Hybrid </b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p>
</li><li><p><b>Onsite </b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p>
</li></ul><p></p><p><b>Commitment to Non-Discrimination
</b></p><p>All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Evaluation Engineer

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