Senior AI Engineer
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Role details
Tech stack
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Job description
- Support the design, development, and deployment of AI-enabled solutions within enterprise and federal technology environments.
- Contribute to modernization initiatives involving AI, automation, cloud engineering, and digital transformation.
- Help integrate AI technologies into enterprise systems, workflows, and operational platforms.
- Build and support secure, scalable software and infrastructure solutions using modern engineering practices.
- Participate in Agile and DevSecOps delivery environments focused on security, performance, and operational reliability.
- Support data engineering, automation, API integrations, and AI-driven workflows across enterprise systems.
- Collaborate across engineering, operations, cybersecurity, and program teams to solve complex technical challenges.
- Assist in evaluating emerging AI technologies and modernization approaches for mission and operational use cases.
- Help improve system interoperability, data integrity, and modernization efforts across cloud and legacy environments.
Requirements
Do you have experience in Systems engineering?, Do you have a Bachelor’s degree?, * U.S. citizenship required. Must be eligible to obtain and maintain a Public Trust or equivalent federal background investigation and PIV credential.
- 5+ years of experience in software engineering, systems engineering, cloud engineering, AI, data engineering, or related technical fields.
- Experience leading technical workstreams, mentoring team members, or coordinating cross-functional teams across engineering, cybersecurity, data, and program stakeholders.
- Strong executive-facing communication skills, with the ability to explain technical concepts, risks, tradeoffs, and recommendations to both technical and non-technical audiences.
- Experience contributing to large-scale digital transformation, modernization, or enterprise systems integration initiatives.
- Experience with one or more of the following: AI or machine learning tools, Cloud platforms (AWS, Azure, GCP), Automation and APIs, DevSecOps or CI/CD workflows, Data platforms or enterprise integrations
- Familiarity with Agile development environments.
- Strong problem-solving and analytical thinking skills.
- Ability to learn quickly and operate in evolving technical environments., * Experience supporting federal government, regulated industries, or highly secure enterprise environments.
- Familiarity with AI governance, responsible AI principles, or secure AI deployment practices.
- Exposure to machine learning engineering, AI integration workflows, or enterprise AI modernization initiatives.
- Interest in emerging technologies and applied AI engineering.
Benefits & conditions
Pulled from the full job description
- Paid training
- Referral program
- Professional development assistance
- 401(k)
- Health insurance
- Retirement plan
- 401(k) matching, * Up to $195,000 per year
- Paid Training
- Health Insurance including Vision and Dental
- Matching 401K
- Voluntary Life Insurance
- Relocation Assistance
- 11 paid days off a year (Federal holidays)
- Paid Time Off
- Industry Certifications
- Amazing company culture
Fedstack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Principals only. Recruiters please do not contact this job poster. Do NOT contact us with unsolicited services or offers.
Job Type: Full-time
Pay: Up to $195,000.00 per year, * 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Vision insurance
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