Agentic AI Engineer
About the role
Agentic AI Engineer
The Opportunity:
AI is moving fast and the most consequential work is happening at the intersection of autonomous systems and real-world enterprise operations. As an Agentic AI Engineer, you'll be at the front edge of that wave, designing and building cutting-edge agentic AI solutions that don't just demo well, but deploy into production, scale across enterprise environments, and operate securely in some of the most demanding mission contexts imaginable. You'll lead and energize a development team that thrives on new tools and techniques, turning emerging capabilities like multi-agent orchestration, advanced RAG pipelines, and edge-deployed models, into solutions that change how our clients operate. If you're driven by the challenge of taking AI from prototype to production and you want to do it on problems that matter, this is your role.
What You'll Work On:
Embed agentic AI capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end-user adoption.
Design and implement intelligent agent architectures that can reason, plan, and take actions.
Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance.
Join us. The world can’t wait.
You Have:
6+ years of experience in software development
3+ years of experience working in cloud environments, including AWS and Azure, evaluating architectural tradeoffs, designing robust service-based software applications for scalable use, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
Experience with MCP for tool integration, A2A for collaboration, RAG architecture and knowledge graphs, memory architectures for long-running agents such as episodic, semantic, and working memory patterns, and agent benchmarking frameworks such as GAIA, SWE-bench, or custom eval harnesses
Experience with tool or function calling patterns across multiple LLM providers
Experience fine-tuning LLMs or SLMs
Knowledge of modern software design patterns, including microservice design or edge computing
Ability to translate agentic AI capabilities into practical enterprise workflows, bridging the gap between technical implementation and business process adoption
Ability to adapt in a rapidly changing environment and navigate ambiguity
Ability to obtain a Secret clearance
Bachelor’s degree in CS or Computer Engineering
Nice If You Have:
Experience deploying agentic systems in a production environment
Experience deploying agents on edge devices such as Android or local models
Experience integrating coding agents such as Cursor or Windsurf, into an efficient development pipeline with measured results
Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
Experience engineering AI capabilities in on‑premises or multi‑classification environments
Possession of excellent verbal and written communication skills, for client engagements, client-facing project work, and business development
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Responsibilities
- Embed agentic AI capabilities into existing enterprise systems and operational workflows
- Design and implement intelligent agent architectures
- Develop and deploy collaborative multi-agent systems
- Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs
- Fine-tune Small Language Models for specific domains
Qualifications
- 6+ years of experience in software development
- 3+ years of experience working in cloud environments
- Experience with MCP for tool integration and A2A for collaboration
- Knowledge of modern software design patterns
- Bachelor’s degree in CS or Computer Engineering
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave and professional development
- Tuition assistance and work-life programs
- Recognition awards program for exceptional performance
Skills mentioned
About Booz Allen Hamilton
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