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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Federal Standard Abstract Inc - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $195,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Systems Engineering, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Integrity, DevOps, Interoperability, Machine Learning, Azure Machine Learning, Software Deployment, Software Engineering, Systems Integration, Google Cloud, Data Management, Devsecops, Api Management - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c99d9e0ab1b6f6d9 ## About the Role 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. ## 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. ## Related Videos - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)