AI Solutions Architect: Client-Facing Cloud & ML

Socket.dev; Lanham (MD); On-site; USD 135,000 - 165,000; Full time

Job summary

ExeQut is seeking an AI Solutions Engineer to design production-grade AI and cloud solutions and to present architectures to clients, including CTOs and program managers. You will lead from discovery through delivery, using AI-assisted development tools to accelerate outcomes while maintaining solid fundamentals.

Ideal candidates have 5+ years designing cloud solutions (AWS preferred), experience with RAG pipelines and LLM deployment, and strong abilities to write proposals and explain complex

Qualifications

• 5+ years in designing/implementing cloud solutions (AWS preferred).
• Experience with AI/ML, RAG pipelines, LLMs, and data pipelines.
• Experience with AI-assisted development tools (Claude Code, Cursor, Copilot).
• Ability to sketch complete system architectures and explain decisions.
• Clear technical writing for proposals and SOWs.
• Comfort presenting to executives and engineers.
• Strong AWS depth across ECS/Fargate, Lambda, API Gateway, S3, DynamoDB, RDS/Aurora, CloudFront, IAM, VPC, Bedrock/SageMaker.

Responsibilities

• Sit in client discovery sessions and design solution architecture.
• Build proofs of concept and prototypes using Python, AWS, AI/ML frameworks.
• Design data pipelines, RAG systems, agentic workflows, API layers, and AWS infra.
• Write technical proposal volumes and SOWs tailored to contracts.
• Present architectures and demos to CTOs, PMs, and evaluation committees.
• Contribute to service offerings and reusable accelerators.
• Stay updated on AI models, frameworks, patterns, and cost optimization.

Skills

AI/ML architecture

Cloud architecture

Client-facing presentation

Whiteboard architecture

Technical writing

Education

AWS certifications (SA Associate/Professional)

Tools

AWS ECS/Fargate

AWS Lambda

API Gateway

S3

DynamoDB

RDS/Aurora

Bedrock

SageMaker

Claude Code

Cursor

Copilot

Terraform

CloudFormation

CDK

Job description

ExeQut is seeking an AI Solutions Engineer to design production-grade AI and cloud solutions and to present architectures to clients, including CTOs and program managers. You will lead from discovery through delivery, using AI-assisted development tools to accelerate outcomes while maintaining solid fundamentals.

Ideal candidates have 5+ years designing cloud solutions (AWS preferred), experience with RAG pipelines and LLM deployment, and strong abilities to write proposals and explain complex