artificial intelligence engineer

Dechert LLP

<p></p><div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div><b>ESSENTIAL JOB FUNCTIONS:</b>
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div><b>SKILLS:</b>
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div><b>INTERESTS:</b>
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div><b>EDUCATION AND EXPERIENCE:</b>
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

AI Engineer

Wight & Company

<div><p>Are you looking for an opportunity to do challenging, creative work that makes a real impact? Would you like to be part of a company that respects individual contributions and thrives on collaboration? Do you love to win? Then consider joining Wight &amp; Company. We're a nationally recognized, award-winning architecture, engineering, and construction firm known for a dynamic company culture that fosters innovation and challenges the status quo, and we're looking for a talented professional to join our team.</p>
<p>
Wight &amp; Company is seeking an <b>AI Solutions &amp; Data Engineer</b> to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This <b>hybrid</b> role will work across architecture, engineering, construction, and business operations to identify valuable AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills. This person should be comfortable building solutions directly, facilitating conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools effectively. The AI Solutions &amp; Data Engineer will report to the Chief Innovation Officer and collaborate with technology, BIM, operations, and departmental leaders across the company.</p>
<p><b>
ESSENTIAL RESPONSIBILITIES</b></p>
<p><b>
Develop AI Solutions and Agents</b></p>
<ul>
<li>Design, build, test, and maintain AI agents that support project delivery and business operations.</li>
<li>Develop solutions using large language models, retrieval-augmented generation, workflow automation, APIs, and related technologies.</li>
<li>Connect AI tools with internal applications, document repositories, databases, and third-party platforms.</li>
<li>Create prototypes and pilot programs that allow teams to evaluate new ideas quickly.</li>
<li>Establish methods for testing solution accuracy, reliability, security, and business value.</li>
<li>Help move successful prototypes into maintainable, production-ready solutions.</li>
<li>Monitor the performance and adoption of deployed AI solutions and improve them over time.</li>
</ul>
<p><b>Build and Manage Data Solutions</b></p>
<ul>
<li>Gather, clean, organize, and combine data from multiple business and project systems.</li>
<li>Develop and maintain data pipelines, integrations, structured datasets, and reusable data services.</li>
<li>Help establish reliable connections between project, financial, operational, and knowledge-management platforms.</li>
<li>Improve the accessibility and usefulness of organizational data while maintaining appropriate security and permissions.</li>
<li>Collaborate with system owners to improve data quality, consistency, documentation, and governance.</li>
<li>Support dashboards, reporting, predictive analytics, and AI applications that depend on reliable data.</li>
<li>Identify opportunities to reduce duplicate data entry and improve the flow of information across the organization.</li>
</ul>
<p><b>Identify and Prioritize AI Opportunities</b></p>
<ul>
<li>Meet with teams across the company to understand their work, challenges, and opportunities.</li>
<li>Facilitate workshops and brainstorming sessions focused on meaningful business problems rather than technology alone.</li>
<li>Translate business needs into clearly defined AI, automation, or data initiatives.</li>
<li>Evaluate potential solutions based on value, feasibility, risk, scalability, and alignment with company priorities.</li>
<li>Help departments develop practical roadmaps for adopting AI and improving their use of data.</li>
<li>Stay informed about emerging AI capabilities and evaluate where they may create value for the company or its clients.</li>
</ul>
<p><b>Train and Support Teams</b></p>
<ul>
<li>Develop and deliver practical AI training for employees with varying levels of technical experience.</li>
<li>Teach teams how to use approved AI tools effectively, securely, and responsibly.</li>
<li>Create guides, demonstrations, templates, prompt libraries, and other reusable learning resources.</li>
<li>Coach individuals and teams as they incorporate AI into existing workflows.</li>
<li>Support a network of internal AI champions who can help expand adoption across the organization.</li>
<li>Share successful use cases and lessons learned to encourage continuous improvement.</li>
</ul>
<p><b>Support Responsible AI and Data Governance</b></p>
<ul>
<li>Help establish technical standards for AI development, data integration, documentation, testing, and deployment.</li>
<li>Apply appropriate security, privacy, intellectual-property, and data-governance requirements to AI solutions.</li>
<li>Work with technology, legal, risk, and business leaders to evaluate proposed tools and use cases.</li>
<li>Maintain clear documentation of data sources, integrations, models, prompts, permissions, dependencies, and system behavior.</li>
<li>Promote responsible human oversight and clearly communicate the limitations of AI-generated results.</li>
</ul>
<p><b>BACKGROUND &amp; EXPERIENCE EXPECTATIONS</b></p>
<ul>
<li>Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related field&mdash;or equivalent professional experience.</li>
<li>Experience developing AI-enabled applications, software integrations, data solutions, or workflow automations.</li>
<li>Proficiency in Python, SQL, APIs, and common data-processing methods.</li>
<li>Experience working with structured and unstructured data from multiple sources.</li>
<li>Understanding of modern generative AI concepts, including large language models, embeddings, vector search, tool use, and retrieval-augmented generation.</li>
<li>Experience developing with cloud platforms, databases, automation tools, or enterprise application ecosystems.</li>
<li>Ability to translate loosely defined business challenges into practical technical solutions.</li>
<li>Strong written, verbal, presentation, and facilitation skills.</li>
<li>Ability to explain technical concepts clearly to nontechnical audiences.</li>
<li>A collaborative mindset and an interest in working directly with employees across many disciplines.</li>
<li>Sound judgment regarding data privacy, cybersecurity, intellectual property, and responsible AI use.</li>
<li>Ability to balance experimentation and speed with reliability, documentation, and long-term maintainability.</li>
</ul>
<p><b>PREFERRED QUALIFICATIONS</b></p>
<ul>
<li>Experience with Microsoft Azure, Microsoft 365, Copilot Studio, Power Platform, Fabric, or related Microsoft technologies.</li>
<li>Experience with AI platforms and APIs such as Azure OpenAI, OpenAI, Anthropic, or similar services.</li>
<li>Experience with ETL/ELT processes, data warehouses, lakehouses, semantic models, or business-intelligence platforms.</li>
<li>Familiarity with agent frameworks, orchestration tools, vector databases, or enterprise search technologies.</li>
<li>Experience with application development, source control, testing, deployment, and DevOps practices.</li>
<li>Experience delivering technical training, facilitating workshops, or supporting organizational change.</li>
<li>Familiarity with architecture, engineering, construction, professional services, or project-based organizations.</li>
<li>Experience integrating enterprise systems such as Microsoft 365, Autodesk Construction Cloud, Procore, Bentley, Unanet, CMiC, Egnyte, or similar platforms.</li>
<li>Familiarity with BIM, digital project delivery, estimating, construction management, or design technology is beneficial but not required.</li>
</ul>
<p><b>Salary Range</b>: $100,000 - $160,000. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant.</p>
<p>
Wight &amp; Company offers excellent benefits and a wonderful work environment. Our comprehensive benefits including medical, dental, vision, disability, life insurance, flexible spending, paid holidays, paid time off, and a 401(k). Our flexible work schedule allows for a healthy work-life balance. For more information about our company, visit our website at www.wightco.com.</p>
<p>
Wight &amp; Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetics, protected veteran status, disability status, or any other characteristic protected by federal, state, or local laws.</p>
<p>
Wight &amp; Company values diversity in our workforce. We are committed to recruiting, hiring, and promoting people with disabilities and veterans. If you need an accommodation to assist with completing the electronic application, please call us at 630.969.7000 and ask to speak with a Human Resources representative.</p>
<p>
#LI-NS1</p></div><p></p>

AI Solutions & Data Engineer

Eastern Bank

<div><div>Hiring Range: $72,214 - $110,000</div><p><i>
The posted salary range reflects Eastern&rsquo;s expected hiring range. Actual pay may vary based on experience, skills, and market factors; additional compensation may apply. Eastern offers a robust benefits and retirement package. Please see the description of benefits included with this job posting for additional information.</i></p><p></p><p><br>
We are seeking a junior to mid-level AI Engineer to help build and scale enterprise AI capabilities across the bank. This role is responsible for developing AI agents and automated workflows, building retrieval and prompt systems, and supporting the integration and enablement of AI tools within embedded business division roles. This is a hands-on role for someone who thrives at the intersection of technical development and business enablement, translating non-technical use cases into working technical solutions.</p><p><b>
Responsibilities:</b></p><p><b>
Design &amp; Develop AI Solutions</b></p><ul><li>
Build, deploy, and maintain AI agents and automated workflows using platforms such as Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.</li><li>
Create scalable retrieval-augmented generation (RAG) pipelines and prompt-engineering frameworks.</li><li>
Prototype and productionize AI solutions that improve day-to-day operations across the bank.</li></ul><p></p><p><b><br>
Partner with Business Teams</b></p><ul><li>
Collaborate with cross-functional teams to understand business processes, pain points, and opportunities for automation.</li><li>
Translate non-technical requirements into clear technical specifications and solution designs.</li><li>
Serve as a trusted technical advisor supporting embedded AI initiatives across business divisions.</li></ul><p></p><p><b><br>
Enhance AI Performance &amp; Reliability</b></p><ul><li>
Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.</li><li>
Evaluate and refine AI solutions based on user feedback, performance metrics, and business outcomes.</li></ul><p></p><p><b><br>
Support AI Governance &amp; Administration</b></p><ul><li>
Assist in establishing governance processes for enterprise AI tools, including access management, usage policies, and documentation.</li><li>
Promote responsible AI practices, ensuring compliance with data privacy, security, and regulatory requirements.</li><li>
Support administration and enablement of AI platforms across the organization.</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.</li><li>
1-4 years of experience in software engineering, data engineering, machine learning, or a related technical role.</li><li>
Experience working with large language models (LLMs) and enterprise cloud or collaboration platforms.</li><li>
Hands-on experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or similar technologies.</li><li>
Experience with prompt engineering, AI agents, and agent frameworks.</li><li>
Familiarity with Microsoft technologies including Azure, Microsoft Copilot, Power Platform, and Microsoft 365 development or administration tools.</li><li>
Experience working with APIs, MCPs (Model Context Protocol), integrations, and data pipelines.</li><li>
Understanding of AI governance, responsible AI practices, and enterprise AI administration.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent verbal and written communication skills.</li><li>
Ability to translate complex technical concepts into understandable business solutions.</li><li>
Comfortable working independently while collaborating across multiple teams.</li><li>
Experience within financial services or another regulated industry is a plus.</li></ul><div>
At Eastern Bank, we pride ourselves on supporting our employees by offering tremendous opportunity for individual growth. As an inclusive company, we work to ensure that our valued employees are treated fairly, recognized for their individuality, and encouraged to reach their fullest potential. These values have earned us a reputation as a great place to work and provide a strong reason why you should consider a career with us. We are proud to offer comprehensive compensation plans and a benefits program called Total Rewards that includes medical, dental, vision, life and disability insurance, retirement, vacation and tuition reimbursement.</div><br>
<div>
<br>
</div><div>Eastern Bank is an equal opportunity employer. All job applicants will be considered for employment without regard to race, color, religious creed, national origin, sex, sexual orientation, gender identity, genetic information, military service, age, ancestry, or disability.</div><br>
<div>
<br>
</div><div>At Eastern Bank, we are dedicated to building a diverse, equitable, inclusive and authentic workplace. If you&rsquo;re excited about this role but your experience doesn&rsquo;t fully align with every qualification, we still encourage you to apply! You may be just the right candidate for this position or others across the company. Our Recruitment team is waiting to chat with YOU.</div></div>

LTC Solutions, LLC

<div><p>LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients&rsquo; needs, we would like to meet you!</p>
<p>
LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).</p>
<p>
POSITION DESCRIPTION: AI Engineering Support</p><br>
<p><b>
Location:</b> Pentagon, Arlington, VA (Hybrid)</p>
<p><b>
Status:</b> Contingent Hire &ndash; Full-Time &ndash; Hybrid</p>
<p><b>
Clearance:</b> Active Top Secret/SCI Clearance Required</p>
<p><b>
MUST HAVE:</b> Demonstrated experience <b>supporting Department of Defense data engineering</b>, business intelligence, data governance, automated data pipelines, and enterprise analytics supporting operational decision-making.</p>
<p>
Position Summary</p>
<p>
The AI Engineer / Research Analyst provides mid-level data engineering, business intelligence, and applied analytics support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&amp;L), and the Global Positioning Network (GPN) Program. Working in a hybrid capacity supporting the Pentagon, the position develops and maintains data extraction, transformation, validation, and integration processes that convert raw operational data into secure, authoritative datasets supporting advanced analytics and executive decision-making.</p>
<p>
The AI Engineer supports enterprise data engineering activities by developing automated queries, reusable data pipelines, data quality processes, and business intelligence solutions while ensuring compliance with Department of War (DoW), U.S. Marine Corps (USMC), and Department of Defense cybersecurity, records management, and data governance requirements. Working under the direction of senior analytics leadership, the position supports the development of scalable data architectures that enable predictive analytics, dashboard development, artificial intelligence, and operational reporting.</p>
<p>
The position collaborates with Headquarters Marine Corps organizations, Government data owners, system administrators, and analytics personnel to improve data accessibility, quality, security, and enterprise reporting capabilities.</p>
<p>
Required Qualifications</p>
<ul>
<li>U.S. Citizen with an <b>Active Secret security clearance</b> and ability to obtain a CAC card.</li>
<li>Bachelor's degree in <b>Computer Science, Data Science, Information Systems, Software Engineering, Data Engineering, Business Analytics, Mathematics</b>, or a related discipline.</li>
<li><b>Four (4) to seven (7) years</b> of experience supporting Department of Defense data engineering, business intelligence, database development, analytics, or enterprise information management.</li>
<li>Experience designing and developing automated data extraction, transformation, and loading (ETL/ELT) processes.</li>
<li>Experience writing complex SQL queries and developing reusable database scripts.</li>
<li>Experience using <b>Python</b>, SQL, and data transformation libraries for automation and data preparation.</li>
<li>Experience developing secure data pipelines and preparing authoritative datasets for reporting and analytics.</li>
<li>Experience supporting enterprise data governance, metadata management, and data quality initiatives.</li>
<li>Working knowledge of Department of Defense cybersecurity requirements, secure data handling procedures, and records management practices.</li>
<li>Experience supporting business intelligence environments using Power BI, Tableau, Microsoft Fabric, or similar reporting platforms.</li>
<li>Strong analytical, technical writing, communication, and organizational skills.</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Master's degree in <b>Data Science, Information Systems, Computer Science, Software Engineering, Business Analytics</b>, or a related discipline.</li>
<li>Experience supporting Headquarters Marine Corps, Department of the Navy, Joint Staff, or other Department of Defense headquarters organizations.</li>
<li>Experience designing enterprise data warehouses, reporting architectures, or business intelligence platforms.</li>
<li>Experience with Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, or equivalent enterprise data engineering platforms.</li>
<li>Experience supporting DevSecOps, CI/CD pipelines, Git, or Azure DevOps.</li>
<li>Familiarity with artificial intelligence and machine learning data preparation techniques.</li>
<li>Experience implementing enterprise data governance frameworks and data catalog solutions.</li>
<li>Knowledge of DoD Zero Trust Architecture, RMF, and cybersecurity compliance requirements.</li>
</ul>
<p>Primary Duties</p>
<ul>
<li>Develop and maintain automated data extraction, transformation, validation, and loading (ETL/ELT) processes supporting GPN analytics and enterprise reporting.</li>
<li>Create and optimize complex SQL queries, stored procedures, and reusable scripts that automate recurring data collection and reporting activities.</li>
<li>Develop secure, reusable data pipelines that prepare authoritative datasets for analytics, artificial intelligence, business intelligence, and executive reporting.</li>
<li>Validate, cleanse, normalize, and integrate structured and unstructured data from multiple Government information systems.</li>
<li>Implement enterprise data quality controls, validation routines, reconciliation processes, and metadata documentation to improve data integrity.</li>
<li>Support development and maintenance of enterprise business intelligence architectures, reporting databases, and visualization back-end environments.</li>
<li>Prepare datasets supporting predictive analytics, machine learning models, simulation activities, and operational research efforts performed by senior AI engineers and data scientists.</li>
<li>Collaborate with Government stakeholders to define data standards, business rules, data dictionaries, and governance policies.</li>
<li>Ensure compliance with Department of War (DoW), U.S. Marine Corps (USMC), Department of Defense cybersecurity policies, records management requirements, and enterprise data governance standards.</li>
<li>Document database structures, transformation logic, automated workflows, technical procedures, and data lineage supporting long-term sustainment.</li>
<li>Assist with troubleshooting data quality issues, system integration challenges, and reporting inconsistencies.</li>
<li>Support implementation of secure data architectures that improve availability, reliability, scalability, and performance of analytical systems.</li>
<li>Coordinate with AI Engineers, Data Analysts, Business Intelligence developers, Government personnel, and system administrators to support enterprise analytics initiatives.</li>
<li>Participate in configuration management, version control, testing, deployment, and continuous improvement of enterprise data engineering solutions.</li>
<li>Perform additional data engineering, business intelligence, analytics, automation, and governance duties necessary to accomplish contract requirements.</li>
</ul>
<p>Preferred Technical Skills</p>
<ul>
<li>Python</li>
<li>SQL</li>
<li>Power BI</li>
<li>Tableau</li>
<li>Microsoft Fabric</li>
<li>Azure Data Factory</li>
<li>Azure Synapse Analytics</li>
<li>Databricks</li>
<li>Snowflake</li>
<li>PostgreSQL</li>
<li>Microsoft SQL Server</li>
<li>Git</li>
<li>Azure DevOps</li>
<li>ETL/ELT Development</li>
<li>Data Warehousing</li>
<li>REST APIs</li>
<li>JSON/XML</li>
<li>Data Governance</li>
<li>Metadata Management</li>
<li>Data Lineage</li>
<li>RMF</li>
<li>Zero Trust Architecture</li>
</ul>
<p><b>LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</b></p></div>

AI Engineering Support US Citizens only, active TS/SCI clearance required

SCAN Health Plan

<div><p>Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the &ldquo;12 Angry Seniors.&rdquo; Their mission continues to guide everything we do.</p><p>
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.</p><p>
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.</p><p>
At SCAN, we believe scale should strengthen&mdash;not dilute&mdash;our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.</p><p></p><p><b>
The Job:</b></p><p></p><p>
As an AI Engineer, you will design, build, and optimize enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members. Your responsibilities span developing AI applications, building secure and scalable data and automation pipelines, and supporting production-ready AI systems. You will collaborate across business, data, security, compliance, and technology teams to translate business needs into practical AI solutions, apply responsible AI practices, and deliver measurable value through innovation, automation, and continuous improvement.</p><p></p><p><b>
You Will:</b></p><p></p><p><b>
AI Solution Design &amp; Engineering</b></p><ul><li>
Design, build, and maintain AI-powered applications, services, and workflows that address enterprise business needs.</li><li>
Translate business requirements into scalable technical designs, prototypes, and production-ready solutions.</li><li>
Apply software engineering best practices for reliability, maintainability, documentation, and secure deployment.</li></ul><p><b>
LLM &amp; Agentic AI Implementation</b></p><ul><li>
Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks.</li><li>
Build AI assistants, automation tools, and agentic workflows that improve productivity and operational outcomes.</li><li>
Evaluate model behavior, output quality, performance, and fit-for-purpose use across enterprise scenarios.</li></ul><p><b>
Data, Integration &amp; Retrieval Engineering</b></p><ul><li>
Build and maintain data pipelines, API integrations, and retrieval patterns that support AI applications and analytics.</li><li>
Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate.</li><li>
Partner with data and platform teams to ensure quality, lineage, scalability, and secure access to enterprise data sources.</li></ul><p><b>
AI Platform, DevOps &amp; Operational Support</b></p><ul><li>
Support deployment, monitoring, testing, and maintenance of AI solutions across development, test, and production environments.</li><li>
Implement CI/CD, model evaluation, observability, and operational controls for AI-enabled systems.</li><li>
Troubleshoot technical issues, improve performance, and support continuous enhancement of AI platforms and applications.</li></ul><p><b>
Responsible AI, Security &amp; Governance</b></p><ul><li>
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.</li><li>
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.</li><li>
Document solution design, risks, controls, assumptions, and operational considerations for AI systems.</li><li>
We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.</li><li>
Actively support the achievement of SCAN&rsquo;s Vision and Goals.</li><li>
Other duties as assigned.</li></ul><p></p><p><b>
Your Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer science, Engineering, or a related field, or equivalent experience</li><li>
Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration</li><li>
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.</li><li>
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).</li><li>
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Semantic Kernel, etc.).</li><li>
Ability to connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact.</li><li>
Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li><li>
Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li></ul><p></p><p><b>
Preferred Certifications or Licenses:
</b></p><ul><li>Microsoft Certified: Azure AI Engineer Associate</li><li>
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.</li><li>
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.</li></ul><p></p><p><b>
Experience Preferred:
</b></p><ul><li>Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.</li><li>
Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.</li><li>
Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.</li><li>
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.</li><li>
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.</li><li>
Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams.</li><li>
Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.</li></ul><p></p><p><b>
What's in it for you?</b></p><ul><li><p>
Base salary range: $106,200 to $182,983 annually</p></li><li><p>
An annual employee bonus program</p></li><li><p>
Robust Wellness Program</p></li><li><p>
Generous paid-time-off (PTO)</p></li><li><p>
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days</p></li><li><p>
Excellent 401(k) Retirement Saving Plan with employer match</p></li><li><p>
Robust employee recognition program</p></li><li><p>
Tuition reimbursement</p></li><li><p>
An opportunity to become part of a team that makes a difference to our members and our community every day!</p></li></ul><p></p><p>
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!</p><p></p><p>
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.</p><p></p><p>
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.</p><p></p><p>
#LI-JB1 #LI-Hybrid</p><p><b>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></p><p></p><p><i>
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 41 CFR 60-1.35(c)</i></p></div>

AI Staff Engineer

GE Vernova

<div><div><div>GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.
<br>
<br>
We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.
<br>
<br>
We are driving strategy and leading research &amp; development efforts to execute on the business&rsquo;s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
<br>
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
<p></p><h1 class="jobSectionHeader"><b>Job Description</b></h1>
<ul><li>Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.</li>
<li>Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.</li>
<li>Work closely with software developers to integrate LLM solutions into existing or new applications.</li>
<li>Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.</li>
<li>Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.</li>
<li>Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.</li>
<li>Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.</li>
</ul><p><b>Qualifications/Requirements:</b></p>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field with 5+ years' relevant experience.</li>
</ul><p></p><p><b>Ideal Candidate Characteristics:</b></p>
<ul><li>Master&rsquo;s degree in AI Engineering, Computer Science, Engineering, Data Science, or related field</li>
<li>Experience with prompt engineering and familiarity with tools such as OpenAI&rsquo;s GPT models, Hugging Face, etc.</li>
<li>Proficiency in Python or other programming languages commonly used in AI/ML development.</li>
<li>Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).</li>
<li>Previous experience or internships involving NLP or machine learning projects.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Understanding of traditional industry operations and challenges.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li>
<li>Ability to work collaboratively in a team environment and adapt to changing project requirements.</li>
</ul><p></p><div><div><div><div><div><div><div><p>GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p>
</div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b>Relocation Assistance Provided: </b>Yes</p><br>
</div></div></div></div></div></div></div><p></p>For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate&rsquo;s experience, education, and skill set.<br>
<p></p>Bonus eligibility: discretionary annual bonus.<br>
<p></p>This posting is expected to remain open for at least seven days after it was posted on July 29, 2026.<br>
<p></p>Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.<br>
<p></p>GE Vernova Inc. or its affiliates (collectively or individually, &ldquo;GE Vernova&rdquo;) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.</div></div></div><div></div>

Staff Engineer - AI Engineering

Booz Allen Hamilton

<div>Data Engineer<p><b>
The Opportunity:</b></p><p>
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.</p><p></p><p>
As a Data Engineer at Booz Allen, you&rsquo;ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.</p><p></p><p>
Here, you&rsquo;ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You&rsquo;ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.</p><p></p><p>
Work with us to use data for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
2+ years of experience in data engineering, pipeline development, or software engineering</p></li><li><p>
2+ years of experience with ETL operations, including on-premises or Cloud infrastructure</p></li><li><p>
1+ years of experience with source control and collaboration software, including Git or Atlassian tools</p></li><li><p>
Experience writing software in programming languages, including Python</p></li><li><p>
Knowledge of relational and non-relational database technologies, including SQL or GraphQL</p></li><li><p>
Knowledge of automation and scripting on Linux or Windows operating systems</p></li><li><p>
Ability to obtain a Secret clearance</p></li><li><p>
Bachelor's degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service</p></li><li><p>
Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA</p></li><li><p>
Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation</p></li><li><p>
Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders</p></li><li><p>
Experience developing and deploying large-scale batch and stream analytics pipelines</p></li><li><p>
Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers</p></li><li><p>
Experience with DoD information systems</p></li><li><p>
Master&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics</p></li><li><p>
Cloud Development Certification, including AWS Solutions Architect or Azure Certification</p></li><li><p>
Information Security Certification, including Security+ or CISSP Certification</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.</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 $62,000.00 to $141,000.00 (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>

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