Agentic AI and Data Engineer

This onsite opportunity in Honolulu, Hawaii seeks an experienced engineer to design, develop, and deploy production-grade agentic AI systems and applications. You will collaborate with AI/ML engineers, data scientists, solutions architects, and product owners to implement prompting, retrieval-augmented generation, and autonomous workflows, with multi-provider model integration and deployment across cloud and portable builds, optimized for latency, cost, observability, and safety.

Responsibilities

• Design adaptable agentic AI architectures that support multiple model providers, tool ecosystems, modalities, and deployment modes.
• Build modular, reusable components for prompting, retrieval, orchestration, tool execution, memory management, and evaluation to enable rapid development of new AI capabilities.
• Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context or memory mechanisms into production-ready systems.
• Apply advanced prompting techniques such as few-shot, chain-of-thought, tool-calling, and function-calling; utilize orchestration frameworks like LangChain or equivalents; implement agentic patterns such as MCP, A2A, or similar to enable goal-directed autonomy with guardrails, observability, and human oversight, including planning, tool use, delegation, and recovery from failure.
• Design and implement evaluation frameworks, both offline and online, to measure correctness, robustness, safety, and business impact of AI systems.
• Optimize models and workflows for cost, latency, reliability, and scalability through systematic benchmarking and experimentation.
• Develop 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 techniques to improve grounding and reduce hallucination in RAG systems.
• Incorporate guardrails, safety filters, access controls, and monitoring mechanisms to ensure responsible and secure deployment of agentic AI systems.
• Deploy AI services securely and at scale on AWS or equivalent cloud platforms.
• Use containerization with Docker or Kubernetes or serverless approaches for flexible deployment.
• Apply CI/CD and eval-driven development practices for AI systems, including automated testing of prompts and workflows, versioning of prompts and agents, and safe rollout of model updates.
• Use asynchronous programming and event-driven patterns to support scalable, long-running, or multi-agent workflows.
• Leverage modern build and packaging workflows to deliver optimized, portable application artifacts.
• Utilize AI-assisted tools to accelerate development, debugging, and system design 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.
• Provide guidance on responsible AI practices, ethics, and compliance.

Requirements

• 2+ years of experience in software engineering.
• 2+ years of experience in AI or ML focused roles in a professional environment.
• Experience with an object-oriented programming language such as Python, and applying it to AI/ML solution development.
• 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 patterns.
• Knowledge of data processing techniques for AI, including text, audio, and multi-modal data.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in a CS or Engineering field.

Technologies

• Python
• LangChain
• Docker
• Kubernetes
• AWS
• Serverless
• React
• LangGraph
• Cursor
• Windsurf
• Vector databases
• Hybrid search

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, large language models, and autonomous workflows. The role blends deep technical expertise with product-focused thinking to create AI applications that leverage prompting, retrieval-augmented generation, agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact.

You will architect modular, reusable AI application patterns and integrate multiple model providers across cloud, local, and hybrid environments. Apply modern GenAI capabilities including structured prompting, tool use, workflow orchestration, and multi-modal reasoning. Solutions should be deployable across contexts from cloud-hosted platforms to portable, self-contained builds, with emphasis on latency, cost efficiency, observability, and safety. Rapid prototyping and iterative development are expected.

In this role, you will define the direction of mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and appropriate models. You will participate in a broad community of AI and ML engineers across the organization, collaborating with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions.

Work Model

Location: Honolulu, HI, onsite. This position requires primary work on Booz Allen premises or at a customer facility, with collaboration across teams and clients as needed.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

Salary range is USD 99,000 to 225,000 per year.

Identity Verification

As part of the hiring process, a verification process leveraging biometrics and artificial intelligence will be used to confirm identity and protect against fraud. You may be required to be on camera during interviews and assessments, and a photograph may be used to verify identity.

Candidate AI Usage Policy

AI tools are a standard part of Booz Allen's work environment, with an emphasis on responsible use. For interviews, use of AI tools to assist with responses is prohibited unless explicit permission is 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.