AI​/Data Engineer

Job Description:

• Design, build, and deploy AI-enabled applications that support real operational workflows and decision-making for DoW, federal, and enterprise environments.
• Develop application logic that integrates AI models, APIs, data pipelines, user interfaces, and enterprise systems.
• Implement retrieval-augmented generation, semantic search, embeddings, vector databases, prompt strategies, and agent-based workflows where appropriate.
• Integrate structured and unstructured enterprise data sources into AI-enabled applications.
• Build orchestration workflows that connect foundation models, machine learning services, tools, APIs, and secure enterprise environments.
• Develop evaluation frameworks to measure AI output quality, grounding, accuracy, traceability, and failure modes.
• Implement guardrails, validation checks, fallback logic, and human-in-the-loop review points to support reliable AI behavior.
• Support training, tuning, evaluation, and validation of AI or machine learning models using enterprise data while ensuring outputs remain defensible, explainable, and aligned to approved methodologies.
• Develop secure APIs, backend services, dashboards, visualizations, and integration components for AI-enabled analytic tools and decision-support platforms.
• Implement monitoring, logging, observability, model performance tracking, and cost controls for AI systems in operation.
• Advise on model transparency, explainability, auditability, data governance, information assurance, and access controls required for secure DoW and federal deployment.
• Collaborate with functional SMEs to translate business needs, mission requirements, workflow requirements, review expectations, and operational constraints into technical requirements.
• Contribute reusable AI components, accelerators, reference architectures, and delivery patterns for future enterprise and federal AI implementations.
• Support demonstrations, pilots, proofs of value, testing, deployment readiness, and user acceptance activities with internal and client stakeholders.

• US Citizenship Required
• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
• Bachelor's degree obtained or equivalent practical experience.
• Experience designing, building, or deploying AI-enabled applications, analytic tools, decision-support systems, or machine learning solutions.
• Strong software engineering fundamentals, including APIs, backend services, data pipelines, system integration, and production deployment practices.
• Applied experience with machine learning, generative AI, large language models, retrieval-augmented generation, embeddings, vector databases, semantic search, or prompt engineering.
• Experience deploying applications or analytic services in cloud or enterprise environments using CI/CD, version control, testing, and secure development practices.

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan Pay Down
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend