Federal AI Solutions Engineer

Continental United Statesmid

OtherAi Solutions Engineer

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Quick Summary

Key Responsibilities

Strands, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or equivalent frameworks AWS Bedrock, Azure OpenAI,

Requirements Summary

Required Bachelor’s degree in Computer Science, Data Science, Engineering, or related field 3–5 years of hands-on software development experience (Python preferred; Node.

Technical Tools

OtherAi Solutions Engineer

Responsibilities

~1 min read

Design, build, and deploy agentic AI pilots that demonstrate measurable mission impact using:

Strands, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or equivalent frameworks
AWS Bedrock, Azure OpenAI, and multi-LLM orchestration

Develop end-to-end prototypes integrating:

Cloud-native services
Federal or enterprise data sources
APIs and microservices
Enterprise authentication & security controls

Implement prompting strategies, tool orchestration, reasoning loops, planning/execution agents, and autonomous workflows.

Build, maintain the internal AWS, and Azure environments used for A-TEK’s rapid pilot development:

Infrastructure-as-code (Terraform/CDK/Bicep)
Container services (ECS, EKS, AKS)
Secure networking, identity, and data pipelines

Develop reusable accelerators, starter kits, templates, and reference architectures.

Serve as a hands-on SME supporting client-facing teams when they encounter complex technical blockers involving:

Cloud migrations
AI/ML integration
GenAI agent behavior issues
Vector databases & RAG pipelines.
CI/CD & automation workflows

Provide architectural guidance and troubleshoot issues across the engineering lifecycle.

Work closely with:

Cloud, Cyber, Data Intelligence, and Agile Engineering Centers of Excellence
Program managers and solution architects.
Delivery teams and capture/proposal teams

Produce internal documentation, patterns, and best practices to continuously expand A-TEK’s technical knowledge base.

Ensure all pilots and internal platforms adhere to:

NIST AI RMF, FedRAMP, Zero Trust principles.
Secure coding, privacy, ethical AI, and accessibility guidelines

Implement logging/monitoring for auditability and responsible AI operations.

Requirements

~1 min read

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
3–5 years of hands-on software development experience (Python preferred; Node.js/Java acceptable)
Experience building applications on AWS and/or Azure.
Associate level or higher Solutions Architect certification in AWS or Azure
Strong understanding of LLM APIs and ecosystems (e.g., OpenAI, Anthropic, AWS) Bedrock, Azure OpenAI
Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS)
Ability to design and debug distributed cloud systems and AI-enabled applications.
Strong communication skills: able to explain complex topics to A-TEK delivery teams, leadership, and partners.