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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Federal AI Solutions Engineer job in McLean - **Company:** A-TEK, Inc. - **Location:** McLean, VA, United States - **Experience:** Starter - **Salary:** $85,000.0 - $105,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Computer Programming, Databases, Continuous Integration, Data Integration, DevOps, Data Intelligence, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Cloud Services, Zero Trust Network Access, Scaled Agile Framework, Secure Coding, Software Engineering, AWS Cdk, Enterprise Software Applications, Large Language Models, Prompt Engineering, Generative AI, Git, Containerization, Infrastructure Automation Frameworks, Information Technology, Bicep, Machine Learning Operations, Virtual Agents, Restful APIs, Terraform, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://jobs.diversity.com/career/2467564/federal-ai-solutions-engineer-virginia-va-mclean ## About the Role Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field., * 0-2 years of professional software engineering, AI/ML, or cloud development experience. * Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience. * Demonstrated programming experience in Python through coursework, projects, internships, or employment. Technical Skills * Foundational understanding of machine learning, generative AI, and large language models. * Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects. * Familiarity with: * REST APIs * Git version control * Containerization concepts * Data pipelines and databases Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects. Strong analytical and problem-solving skills. Certifications One of the following is preferred within the first year of employment: * AWS Certified Cloud Practitioner or AWS Solutions Architect Associate * Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900) Preferred Qualifications * Academic or project experience with: * LangChain * LlamaIndex * Semantic Kernel * CrewAI Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus. Experience building AI, machine learning, or cloud-based capstone projects. Familiarity with DevOps, MLOps, or CI/CD concepts. Interest in federal government missions and emerging AI technologies., Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility. ## Description AI Solution Development * Assist in the design, development, and deployment of AI-powered applications and prototypes using: * AWS Bedrock * Azure OpenAI * LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities. Support integration of AI solutions with APIs, enterprise systems, and cloud services. Cloud Engineering * Build and maintain cloud-based environments in AWS and Azure. * Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep. * Support containerized deployments using ECS, EKS, or AKS. * Participate in CI/CD implementation and cloud automation efforts. Technical Support & Innovation * Support senior engineers in troubleshooting cloud, AI, and data integration challenges. * Assist in developing reusable templates, accelerators, and reference architectures. * Participate in rapid prototyping efforts that demonstrate mission value for federal customers. Collaboration & Knowledge Sharing * Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams. * Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives. * Stay current with emerging AI, machine learning, and cloud technologies. Security & Compliance * Support implementation of solutions that align with: * NIST AI Risk Management Framework (AI RMF) * FedRAMP requirements * Zero Trust principles * Secure coding and responsible AI practices ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [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) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## 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) - [Got AI ideas but no money? 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