AI Solutions Architect, Senior Manager

AI Solutions Architect, Senior Manager

The Opportunity:

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Apply advanced theories, principles, and concepts, and contribute to the development of new principles and concepts. Lead the development of solutions to highly complex problems. Work with a wide latitude for unreviewed action or decision, and be responsible for the supervision and development of first-level supervisors or managers.

You Have:

• 8+ years of experience designing and delivering AI/ML or data‑intensive systems
• 5+ years of experience in architecture or technical leadership roles
• Experience with cloud‑native architecture, including AWS such as Bedrock, SageMaker, EKS, IAM or KMS, networking, and observability
• Experience briefing executive stakeholders and simplifying complex technical concepts
• Knowledge of modern AI and LLM technologies, including retrieval methods, model fine‑tuning approaches, quantization or distillation, RL/RLAIF concepts, evaluation techniques, and guardrail patterns
• Ability to lead engineering teams and dive into code or architectures, when necessary
• Ability to design AI architectures that are secure, scalable, cost‑aware, and aligned to DoW operational constraints
• Ability to obtain a TS/SCI clearance
• Bachelor’s degree

Nice If You Have:

• Experience supporting DoW clients or other federal mission environments
• Experience with LangChain or LangGraph, vector stores such as FAISS, Pinecone, and Weaviate, and high‑throughput serving, including vLLM and Ray Serve
• Experience with multi‑cloud, including AWS, Azure OpenAI, GCP Vertex AI, and Oracle
• Experience with enterprise data platforms such as Databricks or Salesforce
• Experience with public speaking, authorship of whitepapers, conference talks, or similar thought leadership
• Experience hiring for, building, or leading technical teams
• Knowledge of AI governance, model risk management, NIST frameworks, and DoW security policies
• Possession of excellent communication skills

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 $142,900.00 to $266,000.00 (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.