AI Solutions Engineer

Exequt • Lanham, MD

1d • $150,000 - $195,000 • Hybrid

About The Position

ExeQut is seeking an AI Solutions Engineer who excels at building production-grade AI and cloud solutions and effectively communicating their functionality to clients. This role involves working across the full lifecycle from pursuit to delivery, including understanding client problems, designing architectures, building proofs of concept, writing technical proposals, and presenting solutions. The position requires aggressive use of AI tools for assisted development to enhance productivity and deliver faster results, emphasizing strong fundamental skills amplified by these tools.

Requirements

• 5+ years of hands-on experience designing and implementing solutions in cloud environments (AWS strongly preferred).
• Ability to write code, deploy infrastructure, and debug production issues.
• Direct experience building RAG pipelines, working with LLMs (fine-tuning, prompt engineering, evaluation), designing data pipelines, or deploying ML models.
• Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Ability to sketch a complete system architecture and explain it to technical or non-technical audiences.
• Clear technical writing skills for proposals and SOWs.
• Confidence presenting to rooms with executives and engineers.
• In-depth knowledge of the AWS ecosystem, including ECS/Fargate, Lambda, API Gateway, S3, DynamoDB, RDS/Aurora, CloudFront, IAM, VPC networking, and Bedrock and/or SageMaker.

Nice To Haves

• Experience with Federal civilian or SLED clients, including familiarity with FedRAMP, ATOs, and GovCloud constraints.
• Experience writing technical volumes for government proposals and understanding evaluation criteria.
• Background in data engineering — building ETL/ELT pipelines, working with structured and unstructured data at scale.
• Familiarity with Python ecosystem for AI/ML: LangChain/LangGraph, FAISS/pgvector/OpenSearch, Hugging Face, PyTorch.
• Experience with IaC (Terraform, CloudFormation, CDK) and CI/CD pipelines.
• 2+ years in a consulting, pre-sales, or client-facing technical role.
• AWS certifications (SA Associate or Professional).

Responsibilities

• Sit in client discovery sessions, identify the real technical problem, and design the solution architecture, on the spot if needed.
• Build working proofs of concept and prototypes using Python, AWS services, and modern AI/ML frameworks.
• Design and implement data pipelines, RAG systems, agentic workflows, API layers, and cloud infrastructure on AWS.
• Write technical proposal volumes and statements of work that are specific, credible, and win contracts.
• Present architectures and demos to mixed audiences, federal CTOs, program managers, and technical evaluation committees.
• Contribute to shaping ExeQut's service offerings, reusable solution accelerators, and technical marketing materials.
• Stay sharp on the AI landscape: new models, frameworks, deployment patterns, cost optimization, and bring that knowledge into every client conversation.

Benefits

• Base salary of $150,000.
• Target variable compensation of $30,000-$45,000.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed