Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton - San Diego, CA

Hiring: Artificial Intelligence and Machine Learning Engineer Company: Booz Allen Hamilton Location: San Diego, CA Job Posted Time: 2026-09-16 09:58:37 Employment Type: Full-time Target Skills & Keywords: Agentic AI, Agent Orchestration, Multi-Agent Systems, LLMs, AWS Bedrock, OpenAI, Ollama, Prompt Engineering, MCP, RAG, GraphRAG, Tool-Calling Workflows, Observability, API Design, Python Experience: - Experience building and delivering agentic AI applications in production or prototype environments - Experience implementing agent orchestration frameworks - Experience designing and implementing agent loops, tool-calling workflows, and multi-agent interaction patterns - Ability to own technical delivery end to end in short-cycle environments, from design through deployment - Ability to follow code review practices, document work, and maintain clean and reusable code Required Skills: - Knowledge of LLM platforms and providers, including AWS Bedrock and OpenAI or Ollama - Knowledge of prompt engineering techniques for reliability, controllability, and task performance - Knowledge of MCP usage and development, including integration of external tools and capabilities Qualifications: - HS diploma or GED - Bachelor's degree in Computer Science, Engineering, or a related Technical field (preferred) - Experience implementing retrieval patterns for agentic systems, including RAG or GraphRAG (preferred) - Experience building agentic evaluation frameworks, test harnesses, or quality benchmarks (preferred) - Experience implementing observability for agentic systems, such as traces, telemetry, and failure analysis (preferred) - Knowledge of session and chat memory management strategies across multi-turn workflows (preferred) - Ability to design and document lightweight APIs that expose agent capabilities to downstream systems (preferred) Compensation: - Comprehensive benefits package including health, life, disability, financial, and retirement benefits - Paid leave, professional development, tuition assistance, work-life programs, and dependent care - Recognition awards program for exceptional performance - Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!