Senior AI Engineer

Requirements

Must have:

- We require U.S. citizenship and the ability to obtain and maintain a Public Trust clearance or comparable federal background investigation and PIV credential.

• We are seeking someone with 5+ years of experience in software engineering, systems engineering, cloud engineering, AI, data engineering, or a closely related technical discipline.
• We value experience leading technical workstreams, mentoring colleagues, or coordinating cross-functional efforts across engineering, cybersecurity, data, and program teams.
• We need strong executive-level communication skills with the ability to present technical concepts, risks, tradeoffs, and recommendations to both technical and non-technical audiences.
• We are looking for experience supporting large-scale digital transformation, modernization, or enterprise systems integration initiatives.
• We prefer hands-on experience with at least one of the following: AI or machine learning tools, cloud platforms such as AWS, Azure, or GCP, automation and APIs, DevSecOps or CI/CD pipelines, or data platforms and enterprise integrations.
• We expect familiarity with Agile development environments.
• We need strong analytical thinking and structured problem-solving abilities.
• We value the ability to learn rapidly and adapt in evolving technical environments.
• We prefer experience supporting federal government clients, regulated industries, or highly secure enterprise settings.
• We welcome familiarity with AI governance, responsible AI principles, or secure AI deployment practices.
• We value exposure to machine learning engineering, AI integration workflows, or enterprise AI modernization efforts.
• We are interested in candidates who are enthusiastic about emerging technologies and applied AI engineering.

Responsibilities:

- We design, develop, and deploy AI-enabled solutions within enterprise and federal technology environments.

• We contribute to modernization programs that combine AI, automation, cloud engineering, and digital transformation.
• We integrate AI capabilities into enterprise systems, operational workflows, and platform ecosystems.
• We build and maintain secure, scalable software and infrastructure using modern engineering methods.
• We participate in Agile and DevSecOps delivery practices with a focus on security, performance, and reliability.
• We support data engineering, automation, API integrations, and AI-driven workflows across enterprise systems.
• We collaborate with engineering, operations, cybersecurity, and program stakeholders to solve complex technical challenges.
• We help assess emerging AI technologies and modernization strategies for mission-critical and operational use cases.
• We work to improve interoperability, data integrity, and modernization outcomes across cloud and legacy environments.

Company:

We are Fedstack, a workforce transformation company focused on building mission-ready technical talent for federal agencies and regulated environments. In this full-time Senior AI Engineer role, we are hiring for our Washington DC Metro Area presence, and candidates should be based within a reasonable commuting distance of Washington, DC, ideally within 90 minutes. This is an in-person position with a competitive salary of up to $195,000 per year.

We offer paid training, health coverage including vision and dental, a matching 401(k), voluntary life insurance, relocation assistance, paid federal holidays, paid time off, industry certifications, professional development support, and a strong company culture. We are an equal opportunity employer committed to diversity and inclusion in the workplace.