Generative AI Engineer

Booz Allen Hamilton•Ashburn, VA

23h

About The Position

As an experienced engineer, you know that artificial 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, software 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.

Requirements

5+ years of experience in software 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, GCP, Kubernetes, Docker, Terraform, and AI services
DHS Suitability
Bachelor’s degree

Nice To Haves

Experience implementing secure agent communication protocols that enforce access controls, data boundaries, 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

Responsibilities

Architect and build new generative AI-based products and offerings.
Integrate generative AI products and offerings into specific client missions.
Identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems.
Collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions.
Drive innovation that is applicable across multiple client domains.