Senior Engineer

Job Description

Requirements
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### Must have:

### - We require U.S. citizenship and eligibility to obtain and maintain a Public Trust or comparable federal background clearance, along with a PIV credential. - We look for at least 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, guiding team members, or coordinating efforts across engineering, cybersecurity, data, and program stakeholders. - We need strong executive-level communication skills and the ability to explain technical concepts, risks, tradeoffs, and recommendations to technical and non-technical audiences. - We seek experience contributing to large-scale digital transformation, modernization, or enterprise systems integration programs. - We expect familiarity with one or more of the following: AI or machine learning tools, cloud platforms such as AWS, Azure, or GCP, automation and APIs, DevSecOps or CI/CD workflows, and data platforms or enterprise integrations. - We prefer candidates with exposure to Agile development environments. - We need strong analytical thinking and a structured approach to problem-solving. - We look for the ability to learn quickly and adapt in fast-changing technical environments. - We prefer experience supporting federal government, regulated industries, or highly secure enterprise settings. - We value familiarity with AI governance, responsible AI practices, or secure AI deployment methods. - We welcome exposure to machine learning engineering, AI integration workflows, or enterprise AI modernization efforts. - We are especially interested in candidates with enthusiasm for emerging technologies and applied AI engineering.

Responsibilities:
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- We support the design, development, and deployment of AI-enabled solutions in enterprise and federal technology environments. - We contribute to modernization initiatives spanning AI, automation, cloud engineering, and digital transformation. - We help embed AI capabilities into enterprise systems, operational workflows, and business platforms. - We build and maintain secure, scalable software and infrastructure using modern engineering practices. - We work within Agile and DevSecOps delivery models focused on security, performance, and operational dependability. - We support data engineering, automation, API integrations, and AI-driven workflows across enterprise systems. - We collaborate with engineering, operations, cybersecurity, and program teams to address complex technical challenges. - We evaluate emerging AI technologies and modernization approaches for mission and operational use cases. - We help improve system interoperability, data integrity, and modernization across cloud and legacy environments.
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Company:
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We are Fedstack, a workforce transformation company dedicated to building mission-ready technical talent for federal agencies and regulated environments. In this full-time Senior AI Engineer role, we work in the Washington, DC Metro Area and seek candidates within a reasonable commuting distance, ideally within 90 minutes of Washington, DC. This in-person opportunity offers a salary of up to $195,000 per year, along with paid training, health, dental and vision coverage, matching 401(k), voluntary life insurance, relocation assistance, paid time off, federal holidays, industry certifications, and additional benefits. We value an inclusive, high-performance culture and support professional development in a secure, mission-focused environment.
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