Artificial Intelligence and Machine Learning Engineer, SeniorThe Opportunity: As an experienced engineer, you know how to design, develop, and deliver innovative AI-powered solutions that showcase the practical value of generative AI and large language models (LLMs). This role combines deep technical expertise with strong consulting skills to create frameworks, tools, and applications that deliver measurable impact for clients. You will architect modular, reusable, and AI application patterns, integrate multiple model providers such as cloud-hosted, local, and hybrid, and apply advanced generative AI techniques across text, voice, and other modalities. You will also design solutions that are deployable across a variety of contexts, from cloud-hosted platforms to portable, self-contained builds, optimizing for usability, portability, and performance. In addition, you will engage directly with clients to understand mission needs, present AI solutions to both technical and non-technical audiences, and guide adoption from concept through delivery. In this role, you’ll own and define the direction of mission-critical solutions by applying optimal AI/ML algorithms and technologies. You’ll be 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.What You’ll Do: <ul><li>Design adaptable AI application architectures that support multiple providers, modalities, and deployment modes. </li><li>Build modular and reusable components and frameworks for rapid creation of new AI-powered capabilities. </li><li>Integrate LLMs, embeddings, and retrieval-augmented generation (RAG) patterns into production-ready systems. </li><li>Apply prompt engineering, orchestration frameworks such as LangChain, and agent-based architectures such as MCP and A2A, to enable goal-directed autonomy with guardrails, observability, and human oversight, including planning, tool use, and delegation. </li><li>Architect and optimize AI applications for various deployment scenarios, including embedded, offline-capable, and hybrid solutions. </li><li>Implement model evaluation, benchmarking, and optimization for cost, latency, and accuracy. </li><li>Develop pipelines for preparing, chunking, and enriching structured or unstructured data for AI workflows. </li><li>Combine text, audio, and other modalities in unified processing workflows, including document summarization and voice transcription. </li><li>Leverage vector databases and hybrid search to enhance retrieval accuracy in RAG systems. </li><li>Deploy AI services securely and at scale on AWS or equivalent cloud platforms. </li><li>Use containerizing, including in Docker or Kubernetes, or serverless approaches for flexible deployment. </li><li>Apply CI/CD best practices for AI applications, including automated testing, prompt or version management, and model deployment. </li><li>Leverage modern build and packaging workflows to deliver optimized, portable application artifacts. </li><li>Collaborate with clients to identify high-value AI opportunities and define solution requirements. </li><li>Present AI capabilities and technical solutions to both technical and non-technical stakeholders. </li><li>Lead workshops and prototyping sessions to accelerate adoption. </li><li>Provide guidance on responsible AI practices, ethics, and compliance. </li></ul>Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. Join us. The world can’t wait. You Have: <ul><li>5+ years of experience with software engineering</li><li>2+ years of experience in AI or ML-focused roles</li><li>Experience with an object-oriented programming language such as Python, and applying it to AI/ML solution development</li><li>Experience designing and implementing generative AI applications with LLMs</li><li>Experience with AI orchestration frameworks such as LangChain, and multi-provider integration</li><li>Experience building secure and scalable deployments on cloud platforms such as AWS</li><li>Knowledge of data processing techniques for AI, including text, audio, and multi-modal</li><li>Ability to engage both technical and business audiences</li><li>Secret clearance</li><li>Bachelor’s degree in a CS or Engineering field</li></ul>Nice If You Have:  <ul><li>Experience with agent frameworks and interoperability standards, including MCP, A2A, and LangServe</li><li>Experience with model fine-tuning, prompt tuning, or domain adaptation </li><li>Experience delivering AI solutions in client-facing consulting engagements </li><li>Experience with modern front-end libraries and frameworks for component-based UI development, including React, and with workflows such as build pipelines, automated testing, and code quality tooling</li><li>Experience with in-browser or edge AI execution and performance optimization techniques, as well as modern build and packaging approaches for portable or offline-capable applications </li><li>Experience with developer productivity tools such as Cursor and Windsurf </li><li>Knowledge of AI ethics, compliance requirements, and responsible AI practices </li><li>Possession of excellent communication skills</li><li>Master’s degree in CS, AI, or a related field </li></ul>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.CompensationAt 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 $99,000.00 to $225,000.00 (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 StatementAs part of the application process, 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.Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.</li><li>If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.</li></ul>Commitment to Non-DiscriminationAll 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.

Booz Allen Hamilton

Artificial Intelligence and Machine Learning Engineer, Senior

Booz Allen Hamilton

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