Agentic AI and Data Engineer
Booz Allen Hamilton15 days ago
Honolulu, HI, USAMid Level
H1B sponsor
Base Salary
$99k - $225k/yr
Responsibilities
- Design adaptable agentic AI architectures supporting multiple model providers, tool ecosystems, modalities, and deployment modes.
- Build reusable components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
- Integrate LLMs, embeddings, RAG pipelines, structured outputs, long-context mechanisms, and multimodal workflows into production systems.
- Develop offline and online evaluation frameworks and optimize AI systems for correctness, safety, cost, latency, reliability, and scalability.
- Develop data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous refresh of structured and unstructured data.
- Deploy AI services securely and at scale using cloud, containerized, or serverless approaches.
- Implement asynchronous and event-driven patterns, automated testing, prompt and agent versioning, and safe model rollouts.
- Collaborate with clients to identify AI opportunities, define requirements, present solutions, and lead workshops and prototyping sessions.
- Provide guidance on responsible AI, ethics, compliance, safety, access controls, and monitoring.
Requirements
- At least 2 years of software engineering experience and 2 years of professional AI or ML-focused experience.
- Experience with Python or another object-oriented programming language applied to AI/ML solution development.
- Experience designing and implementing production-grade generative or agentic AI applications.
- Experience with AI orchestration frameworks, agent workflows, tool integration, multi-provider model integration, RAG architectures, evaluation methods, experimentation, and asynchronous or event-driven programming.
- Knowledge of AI data processing involving text, audio, and multimodal data.
- Ability to obtain a Secret clearance and meet eligibility requirements for classified information access.
- Bachelor’s degree in computer science or engineering.
- Preferred experience includes MCP, A2A, LangGraph, fine-tuning, prompt tuning, domain adaptation, reinforcement learning from human or AI feedback, safety testing, external tool and API integration, client-facing AI delivery, React, edge AI, portable application packaging, Cursor, and Windsurf.
- Preferred qualifications include an existing Secret clearance, a master’s degree in CS, AI, or a related field, and AWS Machine Learning, Data Engineer, or Solutions Architect certification.
Benefits
- Health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; and dependent care support.
- Recognition awards and eligibility for Booz Allen benefit programs for regular full-time and part-time employees working at least 20 hours per week.
- Onsite work in Honolulu, Hawaii; the posting states remote work is not available, with work primarily performed at a customer facility.
Tech Stack
Categories
AI ApplicationsData Engineering
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).