Agentic AI Engineer

Booz Allen; Arlington (VA); Presencial; USD 78 000 - 176 000; Tempo integral

Resumo da oferta

Booz Allen is seeking an experienced AI Engineer to design, develop, and deliver agentic AI systems that demonstrate the value of GenAI, LLMs, and autonomous workflows. You will craft modular AI patterns, push evaluation-driven development, and iterate rapidly with cross-functional teams.

Join a community of AI/ML engineers to deliver mission-ready solutions across cloud-hosted and portable builds, balancing latency, cost, safety, and observability while advancing Booz Allen’s strategic

Qualificações

• 1+ years designing, developing, or deploying AI-driven systems.
• 1+ years in Python object-oriented programming for AI/ML.
• Experience integrating LLMs or multimodal models into apps or pipelines.
• Experience with RAG architectures, evaluation methodologies, and asynchronous patterns.
• Ability to work with data scientists, ML engineers, SREs, and product teams to create roadmaps.

Responsabilidades

• Architect modular AI application patterns using prompting, RAG, and orchestration.
• Prototype and iterate with AI-assisted development tools, validating via evaluation.
• Collaborate with cross-functional teams to deliver world-class AI solutions.
• Design solutions deployable across cloud-hosted and portable builds with latency and safety in mind.

Conhecimentos

AI systems design

Python programming

LLM integration

RAG architectures

Cross-functional collaboration

Agentic AI tooling

Formação académica

Bachelor's degree

Ferramentas

LangChain

AutoGen

CrewAI

GPT-class models

Descrição da oferta de emprego

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As an experience d engineer, you know how to design, develop, and deliver production-grade agentic AI systems thatdemonstratethe practical value of generative AI, large language models ( LLMs ) , and autonomous workflows. This role combines deep technicalexpertisewith strong product skills to design AI applications that leverage prompting, retrieval-augmented generation ( RAG ) , agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact.

• 1+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines
• 1+ years of experience with an object-oriented programming language such as Python and applying it to AI and ML solution development
• Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems
• Experience with RAGarchitectures, evaluation met hodologies, experimentation workflows, and asynchronous or event-driven programming patterns
• Experience working in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams and creating reference architectures and technical roadmaps

You will architect modular, reusable AI application patterns, integrate multiple model providers such as cloud-hosted, local, and hybrid , and apply modern GenAI stack capabilities, including structured prompting, tool use,workflow orchestration, and multi-modal reasoning. You will design solutions deployable across various contexts,from cloud-hosted platforms to portable, self-contained builds,optimizingfor latency, cost efficiency, observability, and safety. You will rapidly prototype and iterate using AI-assisted development tools,validatinghypotheses through evaluation-driven development and continuous experimentation.

In this role,you’lldefine the direction of mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine-tuned or foundation models asappropriate.You’llbe part of a large community of AI and ML engineers across the company, collaborating with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions.

Join us. The world can’t wait.

You Have:

• 1+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines
• 1+ years of experience with an object-oriented programming language such as Python and applying it to AI and ML solution development
• Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems
• Experience with RAGarchitectures, evaluation met hodologies, experimentation workflows, and asynchronous or event-driven programming patterns
• Experience working in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams and creating reference architectures and technical roadmaps

Nice If You Have:

• Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks
• Experience with agent frameworks, interoperability standards, and multi-agent patterns such as MCP, A2A,LangGraph, or equivalent
• Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback
• Experience designing evaluation suites or safety testing frameworks for AI systems, and integrating AI systems with external tools, APIs, or enterprise systems via tool-calling or computer-use patterns

Clearance:

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

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 $77,600.00 to $176,000.00 (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.

Agentic AI Engineer

The Opportunity:

As an experience d engineer, you know how to design, develop, and deliver production-grade agentic AI systems thatdemonstratethe practical value of generative AI, large language models ( LLMs ) , and autonomous workflows. This role combines deep technicalexpertisewith strong product skills to design AI applications that leverage prompting, retrieval-augmented generation ( RAG ) , agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact.

• 1+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines
• 1+ years of experience with an object-oriented programming language such as Python and applying it to AI and ML solution development
• Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems
• Experience with RAGarchitectures, evaluation met hodologies, experimentation workflows, and asynchronous or event-driven programming patterns
• Experience working in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams and creating reference architectures and technical roadmaps
• Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks
• Experience with agent frameworks, interoperability standards, and multi-agent patterns such as MCP, A2A,LangGraph, or equivalent
• Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback
• Experience designing evaluation suites or safety testing frameworks for AI systems, and integrating AI systems with external tools, APIs, or enterprise systems via tool-calling or computer-use patterns

Clearance:

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

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 $77,600.00 to $176,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.