Artificial Intelligence Solutions Architect, Senior The Opportunity: Designs and implements 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. Applies advanced advising skills or extensive technical expertise, full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction, mentors and may supervise team members. You Have: - 4+ years of experience implementing IT systems, applications, and infrastructure - 3+ years of experience using LLMs, GenAI applications, or agentic AI orchestration frameworks - 2+ years of experience in AI or ML and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks - 1+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment - Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements - Knowledge of deploying solutions using the Amazon AI product tool suite, Sage Maker studio, and Bedrock - Knowledge of Big Data solutions, data migration technologies, and processes - Ability to train and fine-tune LLMs - TS/SCI clearance with a polygraph - Bachelor's degree Nice If You Have: - Experience providing technical guidance to architects and engineers - Experience working in GCP or Microsoft Azure - Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles - Master's degree in a Technology field, such as Computer Science or Statistics preferred; Doctorate degree in a related Technology field a plus - Security, Cloud, or Software Development Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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 $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 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.
Summary
Designs and implements AI solution architecture and strategy using LLMs, GenAI, and agentic AI to address client business problems. Requires 4+ years implementing IT systems, 3+ years with LLMs/GenAI, 2+ years AI/ML and Data Science with Python and big data, 1+ years cloud environment design, leadership of architecture teams, ability to train and fine-tune LLMs, TS/SCI clearance with polygraph, and a Bachelor's degree.
Responsibilities
Designs and implements AI solution architecture or strategy using AI technologies to address clients' business problems; develops innovative solutions; works without considerable direction; mentors and may supervise team members
Qualifications
4+ years implementing IT systems; 3+ years LLMs/GenAI/agentic AI; 2+ years AI/ML/Data Science with Python and big data; 1+ years cloud environment design; experience leading architecture and platform engineering teams; knowledge of Amazon AI/SageMaker/Bedrock; knowledge of Big Data and data migration; ability to train and fine-tune LLMs; TS/SCI clearance with polygraph; Bachelor's degree
Education requirements
Bachelor's degree required; Master's in Technology preferred; Doctorate a plus
Experience requirements
4+ years implementing IT systems, applications, and infrastructure; 3+ years LLMs, GenAI, or agentic AI; 2+ years AI/ML and Data Science; 1+ years enterprise cloud environment design
How to apply
Identity verification using biometrics; expected to be on camera during interviews and assessments
Benefits
Health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; recognition awards