Booz Allen Hamilton offers a comprehensive benefits package, a collaborative culture, and opportunities to work onsite in Honolulu, HI. This role comes with a salary range of USD 99,000 - 225,000 per year and a commitment to your professional growth, work-life balance, and long-term impact.
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
The Opportunity
As an experienced engineer, you will design, develop, and deliver production‑grade agentic AI systems that demonstrate the practical value of generative AI, LLMs, and autonomous workflows. You will architect solutions that integrate prompting, retrieval-augmented generation, agentic orchestration, evaluation pipelines, and human‑in‑the‑loop controls, deployable across cloud and portable builds with attention to latency, cost, observability, and safety.
You will join a broad community of AI and ML engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions that scale across contexts.
Responsibilities
- Design flexible agentic AI architectures that accommodate multiple model providers, tool ecosystems, modalities, and deployment options.
- Develop modular, reusable components for prompting, retrieval, orchestration, tool execution, memory management, and evaluation to accelerate new AI capabilities.
- Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context or memory mechanisms into production systems.
- Use advanced prompting techniques (few-shot, chain-of-thought), tool-calling and function-calling, and orchestration frameworks like LangChain, applying patterns such as MCP or A2A for goal-directed autonomy with guardrails, observability, and human oversight, including planning, tool use, delegation, and recovery from failure.
- Design and implement offline and online evaluation frameworks to measure correctness, robustness, safety, and business impact.
- Optimize models and workflows for cost, latency, reliability, and scalability using benchmarking and experimentation.
- Build data pipelines for ingestion, cleaning, chunking, embedding, indexing, and continuous refresh of structured and unstructured data for RAG and memory systems.
- Combine text, audio, vision, and other modalities in unified processing workflows, including document understanding, transcription, summarization, and cross-modal reasoning.
- Leverage vector databases, hybrid search, reranking, and retrieval optimization to ground models and reduce hallucination in RAG systems.
- Incorporate guardrails, safety filters, access controls, and monitoring to ensure responsible and secure deployment.
- Deploy AI services securely at scale on AWS or equivalent cloud platforms, with containerization (Docker, Kubernetes) or serverless approaches.
- Apply CI/CD and eval-driven development for AI systems, including automated testing of prompts/workflows, versioning of prompts and agents, and safe rollout of model updates.
- Adopt asynchronous programming and event-driven patterns to support scalable, long-running, or multi‑agent workflows.
- Utilize modern build and packaging workflows to deliver portable application artifacts.
- Leverage AI assistance tools to accelerate development while maintaining engineering rigor and code quality.
- Collaborate with clients to identify high‑value AI opportunities and define solution requirements.
- Present AI capabilities and technical solutions to both technical and non‑technical stakeholders.
- Lead workshops and prototyping sessions to accelerate adoption and real-world impact.
- Provide guidance on responsible AI practices, ethics, and compliance.
Requirements
- At least 2 years of experience in software engineering
- At least 2 years in AI or ML focused roles within a professional setting
- Experience with Python or another object-oriented language and applying it to AI/ML solutions
- Experience designing and implementing production‑grade generative or agentic AI applications
- Experience with AI orchestration frameworks such as LangChain, agent workflows, tool integration, and multi-provider model integration
- Experience with RAG architectures, evaluation methodologies, experimentation workflows, and asynchronous or event-driven programming
- Knowledge of data processing for AI, including text, audio, and multi-modal data
- Ability to obtain a Secret clearance
- Bachelor’s degree in Computer Science or Engineering
Technologies
- Python
- LangChain
- Docker
- Kubernetes
- AWS
- Serverless
- React
- LangGraph
- Cursor
- Windsurf
- Vector databases
- Hybrid search
Work Model
- Onsite: work primarily at a Booz Allen facility or client site in Honolulu, collaborating with colleagues and customers.
- Hybrid: frequent facility presence with potential client visits according to role needs.
- Remote: may be listed as remote with occasional in-person requirements.
Compensation
Salary range: USD 99,000 to 225,000 per year.
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Identity Verification
Identity verification may involve biometric processes and on‑camera participation during interviews; Booz Allen may collect photos to verify identity and prevent fraud.
Candidate AI Usage Policy
AI tools are part of Booz Allen's daily workflow, but candidate responses during interviews should reflect your own skills and knowledge unless permission is explicitly provided.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
