AI Engineer - Ignite Digital

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver.

We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives.

Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world.

Ignite Digital. The Edge from Within.

Perks of Working at Ignite Digital:

• Competitive pay and benefits, including PTO
• Education stipends and referral bonuses
• Compelling work with the U.S. federal government
• Strong emphasis on volunteer and community engagement
• Opportunity to shape the future of our industry
• Supportive colleagues and management who invest in your growth

We are seeking an AI Engineer to join our Data and AI team. This role combines expertise in machine learning and software engineering to deliver cutting-edge AI solutions. You will own the end-to-end machine learning lifecycle, integrate models into applications, and ensure optimal performance in production environments. You will join a team supporting the company’s operations. This role will be crucial in the planning and execution of projects and driving customer satisfaction through delivering Data and AI solutions. As an AI Engineer you will be responsible for understanding, planning, and communicating technical opportunities and limitations to the team, working with both DnA team members and customers to satisfy customer needs.

To be successful in this role you must be able to communicate with a wide variety of individuals with varying levels of technical experience. You must be organized, have strong time management and planning abilities. Experience with Python, Snowflake, Github, Azure, and software engineering lifecycle is a plus.

Key Responsibilities • End-to-End Lifecycle: Prepare, select models, train, and evaluate performance. • Application Integration: Embed AI models into frontend and backend systems. • Performance Optimization: Reduce latency and cost, keeping accuracy and reliability. • Deployment & Observability: Collaborate with Technical Lead to ensure robust deployment and monitoring of AI solutions.