Generative AI Engineer

• 5+ years of experience in sof t war e engineering, machine learning engineering, data science, or data research
• 3+ years of experience integrating Large Language Models ( LLMs ) , GPT models, or multi-modal models with applications or user interfaces
• 3+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing and LLM frameworks
• 1+ years of experience with agentic AI development
• Experience with MLOps, including MLFlow, CI / CD, model training or testing, deployment, or monitoring
• Experience working in a collaborative, cross-functional team environment consisting of security engineers, data scientists, machine learning engineers, and designers
• Ability to distill complex technical concepts into clear summaries consumable by business leaders with a nontechnical background
• Ability to apply cloud and engineering expertise across AWS, Google Cloud Platform, Kubernetes, Docker, Terraform, and AI services
• DHS Suitability
• Bachelor’s degree

Nice If You Have:

• Experience implementing secure agent communication protocols that enforce access controls, data boun dari es, and governance policies across agent-to-system and agent-to-agent interactions
• Experience working with relational and non-relational databases
• Experience with standup of Cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform
• Experience working with federal clients
• Possession of excellent verbal and written communication skills

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.

As an experience d engineer, you know that artifi cia l intelligence ( AI ) , particularly generative AI and large language models ( LLMs ) , has begun transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems that will help Booz Allen and its clients execute missions of national importance.

In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You’ll collaborate with a community of research and experimentation leaders, sof t war e and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.

Join us. The world can’t wait., 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.