al ml technical lead

Booz Allen Hamilton

<div>AL/ML Technical Lead
The Opportunity:
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.
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.
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.
What You'll Work On:<ul><li>
Lead the design and development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications.</li><li>
Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines.</li><li>
Define AI evaluation frameworks covering performance benchmarking, retrieval optimization, safety validation, and production monitoring.</li><li>
Design and implement agent architectures with memory, state management, orchestration, and structured or unstructured data interaction.</li><li>
Integrate advanced AI tools such as Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms.</li><li>
Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying machine learning and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG systems in enterprise environments</li><li>
3+ years of experience with AI agents, MCP frameworks, or AI evaluation strategy development</li><li>
Experience with ML frameworks such as TensorFlow or PyTorch for production 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 such as Azure or Databricks</li><li>
Experience integrating or working with AI tooling such as Codex, Claude, Prompt Buddy, or OpenEvidence in enterprise settings</li><li>
Knowledge of public health, healthcare, or government data systems and associated governance practices</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in Computer Science, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience working in healthcare, biomedical, or government public health AI/ML environments</li><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</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 architecture decisions to a broad range of audiences</li><li>
Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li><li>
Knowledge of AI systems for retrieval, ranking, and decision-support in high-stakes environments</li><li>
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</li><li>
Master's degree in Computer Science, Data Science, AI/ML, or a related field</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
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.
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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided.
Work Model 
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.<ul><li>
Remote: 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.</li><li>
Hybrid: 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.</li><li>
Onsite: 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.</li></ul>
Commitment to Non-Discrimination
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.</div>

AL/ML Technical Lead

<div>AL/ML Engineer, Lead
The Opportunity:
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</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>
Nice If You Have:<ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
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.
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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided.
Work Model 
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.<ul><li>
Remote: 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.</li><li>
Hybrid: 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.</li><li>
Onsite: 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.</li></ul>
Commitment to Non-Discrimination
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.</div>

AL/ML Engineer, Lead

<div>The Opportunity:
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.
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.
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.
What You'll Work On:
<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>Join us. The world can&rsquo;t wait.
You Have:
<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>Nice If You Have:
<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>Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .
Compensation
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.
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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided .
Work Model
 
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.
<ul><li>Remote : 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.
</li><li>Hybrid : 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.
</li><li>Onsite : 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.
</li></ul>Commitment to Non-Discrimination
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.</div>

AL/ML Evaluation Engineer

The Home Depot

Position Purpose: 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. 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. Key Responsibilities: 30% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support &amp; Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience <ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines <ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance <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>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores <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>Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: 5 years of experience data and ML space Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Software Engineer Manager, AI/ML Platforms

Datavault AI

<div>Full Stack Developer
Location: Atlanta, GA, Hybrid 
 Employment Type: Full-Time
About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions.
Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries.
Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets.
The Role: We're looking for a skilled full-stack developer to join our DataVault Platform team. You'll help develop, maintain, and advance our core Web 3.0 data-management platform, a multi-service system spanning a Next.js frontend, a Go REST API, and a Python AI governance service backed by PostgreSQL, Redis, and AWS S3. This is a hands-on role where you'll have real ownership over the direction of our products..
Key Responsibilities:<div><ul><li>
Build and maintain high-quality, scalable SaaS features across our Next.js (App Router, React, TypeScript, Tailwind, shadcn/ui) frontend and Go (Chi, PostgreSQL, Redis) backend.</li><li>
Design and ship REST APIs in Go, including database schema migrations, caching strategies, and integrations with third-party services (payments, KYC, blockchain, AI).</li><li>
Develop feature modules in Portal-v2 using TanStack Query, Zustand, Zod, and React Hook Form, with Vitest and Playwright test coverage.</li><li>
Work collaboratively with designers, engineers, and product to architect medium-to-large features from concept to delivery to live support.</li><li>
Troubleshoot and resolve complex issues across the full stack &mdash; frontend, API, database, and infrastructure.</li><li>
Contribute to platform concerns: authentication, permissions (Container &gt; Workspace &gt; Item hierarchy), observability (OpenTelemetry), and CI/CD (Bitbucket Pipelines, SSM deploys to EC2).</li><li>
Stay current with emerging technologies and development best practices</li></ul></div>
Qualifications:<div><ul><li>
Experience building production Next.js or React applications with TypeScript.</li><li>
Proficiency with Go, including idiomatic HTTP services (Chi, Gin, or similar) and concurrency patterns.</li><li>
Strong understanding of SQL databases (PostgreSQL experience preferred), including schema design, migrations, and query optimization.</li><li>
Experience with modern frontend tooling: Tailwind CSS, component libraries (shadcn/ui, Radix), state management (Zustand, Redux, or equivalent), and server-state libraries (TanStack Query, SWR).</li><li>
Familiarity with Redis, AWS S3, and REST API design.</li><li>
Solid grasp of software development practices including agile methodologies, version control (Git, worktrees), and testing (Vitest, Playwright, Go testing).</li><li>
Bonus: experience with blockchain/Web3 (EVM, ERC-721/ERC-20), payments (ACH, Finxact, PayPal), KYC providers, or AI/ML integrations.</li><li>
Comfort working in multidisciplinary teams with people of diverse perspectives.</li><li>
Strong problem-solving skills and attention to detail</li></ul></div>
What We Offer:<ul><li>
Competitive salary and benefits package.</li><li>
A fast-paced, high-impact work environment.</li><li>
Opportunity to work closely with executive leadership.</li><li>
The chance to work with cutting-edge technologies and make a significant impact.</li><li>
A culture of innovation, ownership, and growth.</li></ul></div>

Full Stack Developer

Womble Bond Dickinson

<div><div><div><div><div><div><div><div>Job Category: Z - Technology
</div></div><div><div>Requisition Number: SOFTW001329</div></div></div><div><div><div><div> 
</div></div></div></div></div> 
</div></div></div><div><div><div><div><div><div>Posting Details</div>
<ul><div><ul><div>Posted: June 30, 2026
</div></ul></div>Full-Time
<div><div><div>Locations</div>
<div>
</div><div>Atlanta, GA 30309, USA 
</div>
</div></div></ul></div><div><div><div><div>Job Details</div>
</div><div>Description
</div><div><div>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.

RESPONSIBILITIES:
<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>
REQUIREMENTS:
<ul>
<li>Strong proficiency in C# and .NET for application and backend service development 
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 
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>
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;

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.

This position is subject to export control laws. 

BENEFITS:

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</div>
</div></div><div><div>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
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.</div></div></div></div></div></div></div></div>

Software Engineer

Sargent & Lundy

<div>Description:
<div>
WORK LOCATION: This position is based on a hybrid work schedule and will require in-office work 3 days per week at the Sargent &amp; Lundy office in Peachtree Corners, GA.</div><div></div><div> 
Our Grid business unit is seeking an experienced Lead EHV Substation Engineer.</div><div></div><div> 
Responsibilities:</div><ul><li>
This position offers you the opportunity to work in a project team environment with other engineers and designers involved in the detailed electrical design and project management of distribution and transmission substation projects.</li><li>
As a Lead EHV Substation Engineer, you will take an active role in project conceptualization, work planning, and project execution for EHV substation projects up to 765kV</li><li>
Serve as a subject matter specialist in EHV substation physical design (500kV and above).</li><li>
You will work on challenging assignments that include investigating, trouble-shooting, and solving a wide variety of electrical engineering and design issues.</li><li>
As a Lead Substation Engineer, you will prepare or review reports and support project deliverables that present technical and project information in a clear and concise manner and meet client requirements and S&amp;L formats. Typical deliverables include: Facility Studies, General Arrangement, Equipment Plans and Sections, Foundation Plans, Grounding and Conduit Plans, Equipment Connection Details, Control Building Plans and Sections, and AC/DC system designs.</li><li>
Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of S&amp;L&rsquo;s systems of process and associated &ldquo;Communities of Practice.&rdquo;</li><li>
In addition, you may have the opportunity to travel to client sites as needed.</li></ul>
Qualifications:
<div>
We do not sponsor employees for work authorization in the U.S. for this position.</div><div></div><div> 
Essential skills and experience:</div><ul><li>
This position requires a BSEE with a power systems or controls emphasis from an ABET-accredited engineering program.</li><li>
12 or more years experience with a focus on protection / control / telecommunications for high voltage substations; including design, installation, and coordination.</li><li>
3 or more years of experience with 500kV and/or 765kV substation design.</li><li>
Knowledge of physical design techniques, tools, and principles involved in production of technical plans, blueprints, drawings, and 3D models.</li><li>
Knowledge of the practical application of engineering science and technology, including the ability to relate various equipment to a technical design.</li><li>
Ability to prioritize work and manage multiple projects under budget and time constraints.</li><li>
Excellent interpersonal and written communication skills.</li><li>
Experience in reviewing design drawings created by others.</li><li>
Proficiency with MS Office applications.</li></ul><div></div><div> 
Valued but not required skills and experience:</div><ul><li>
Proficient with AutoCAD and/or MicroStation.</li><li>
Familiar with Bentley Substation, BlueBeam, AutoCAD E or SDS design software.</li><li>
Ability to prepare substation grounding calculations, direct stroke shielding calculations, battery &amp; charger sizing calculations, etc.</li><li>
Protection &amp; controls experience.</li><li>
Familiarity with ANSI/IEEE/NEMA standards as they relate to physical substation design. This includes the National Electrical Safety Code (ANSI - C2).</li><li>
FE or PE license.</li></ul>
AI &amp; Automation at Sargent &amp; Lundy:
<div>
In this role, we expect people to be willing or able to lead others who use modern tools:</div><ul><li>
You are expected to lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs.</li><li>
Leaders in these roles often direct automation and process-improvement work, for example, how teams automate calculations, summarize technical documents, or generate design documentation and guiding when and how AI or agentic AI tools are used while ensuring results are checked.</li><li>
Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs, is valued but not required.</li><li>
We also value additional learning, such as a minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective oversight of automation and agentic AI-enabled engineering workflows.</li></ul>
Award-Winning Benefits:

At Sargent &amp; Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.<div><div><div> 
Health &amp; Wellness</div><div> Financial Benefits</div><div> Work-Life Balance</div></div> 
<div><ul><li>
Health Plans: Medical, Dental, Vision</li><li>
Life &amp; Accident Insurance</li><li>
Disability Coverage</li><li>
Employee Assistance Program (EAP)</li><li>
Back-Up Daycare</li><li>
FSA &amp; HSA</li></ul><ul><li>
401(k)</li><li>
Pre-Tax Commuter Account</li><li>
Merit Scholarship Program</li><li>
Employee Discount Program</li><li>
Corporate Charitable Giving Program</li><li>
Tuition Assistance</li><li>
First Professional Licensure Bonus</li><li>
Employee Referral Bonus</li></ul><ul><li>
Paid Annual Personal/Sick Time (PST)</li><li>
Paid Vacation</li><li>
Paid Holidays</li><li>
Paid Parental Leave</li><li>
Paid Bereavement Leave</li><li>
Flexible Work Arrangements</li></ul></div> 
</div>
Compensation Range: $134,546 - $205,557 Transparency Statement: Sargent &amp; Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus. Awards &amp; Recognition:
<div></div>
Equal Opportunity:
<div>
Sargent &amp; Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.</div></div>

Lead EHV Electrical Engineer 2 - Grid

Explore 112+ Al ml technical lead in Atlanta this July. Find roles across top companies and apply now to boost your career.