Federal AI Solutions Engineer (Entry Level)

A-TEK, Inc. provides digital transformation, enterprise IT, application development, and scientific services for federal missions. The company is seeking an early-career Federal AI Solutions Engineer to design, develop, and deploy AI-enabled applications and cloud-native solutions across AWS and Azure, while supporting automation, prototyping, integration, and security-compliant delivery.

What you'll do:

• 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
• 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
• 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
• Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams
• Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives

What they're looking for:

• **This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role.**
• This role requires the ability to obtain and retain a public trust level security clearance
• **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
• 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:
• Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects
• Strong analytical and problem-solving skills
• One of the following is preferred within the first year of employment:

Benefits:

• Medical, Dental, and Vision Insurance
• 401(k) with Employer Match
• Paid Time Off and Federal Holidays
• Professional Development and Certification Reimbursement
• Career Growth and Mentorship Opportunities
• This is a hybrid role based in McLean, VA.