AI Solutions Engineer

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

Company Overview

ExeQut is a leader in consulting, delivering customized solutions and systems integration for enterprise applications, data & AI platforms, identity access and management, cybersecurity, and software development. We emphasize transparency, collaboration, and addressing core business challenges through a structured, agile development process. Our clients include federal civilian agencies, commercial enterprises in healthcare IT and financial services, and state/local government entities seeking complex technology solutions that deliver real impact. Partnering with clients from ideation to deployment, we ensure our solutions deliver long-term value and streamline the user experience.

Job Description

We're hiring an AI Solutions Engineer who can do two things exceptionally well: build production-grade AI and cloud solutions, and stand in front of a client and explain exactly how and why they work.

This is not a traditional pre-sales role where you present slides someone else made. You will be the person who hears a client's problem, sketches the architecture on a whiteboard, builds the proof of concept, writes the technical volume for the proposal, and then presents it to a room that includes both a CTO and a program manager. You'll work across the full lifecycle from pursuit to delivery. We use AI tools aggressively. We expect you to be fluent with AI-assisted development (Claude Code, Cursor, Copilot, or similar) and to use these tools to ship faster, not as a crutch, but as a multiplier for strong fundamentals.

Key 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.

Qualifications & Requirements

Non-Negotiable

• You can build. 5+ years of hands‑on experience designing and implementing solutions in cloud environments (AWS strongly preferred). You can write code, deploy infrastructure, and debug production issues.
• You know AI/ML beyond the buzzwords. Direct experience building RAG pipelines, working with LLMs (fine‑tuning, prompt engineering, evaluation), designing data pipelines, or deploying ML models. You can explain the difference between vector search options, when to use Bedrock vs SageMaker, and why chunking strategy matters.
• You're fluent with AI‑assisted development. You actively use tools like Claude Code, Cursor, GitHub Copilot, or similar IDE‑integrated AI to accelerate your work. You know how to direct these tools effectively, catch when they're wrong, and ship production‑quality output faster because of them.
• You can architect on a whiteboard. Given a business problem, you can sketch a complete system architecture — ingestion, processing, storage, serving, security — and explain every decision to a technical or non‑technical audience.
• You can write and present. Clear technical writing for proposals and SOWs.
• Confident presenting to rooms that include both executives and engineers.
• AWS depth. You know the AWS ecosystem well — ECS/Fargate, Lambda, API Gateway, S3, DynamoDB, RDS/Aurora, CloudFront, IAM, VPC networking, and Bedrock and/or SageMaker. AWS certifications (SA Associate or Professional) are a strong plus.

Strongly Preferred

• 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

How We’ll Evaluate You

We don't do trivia interviews. Here's what to expect:

1. Technical conversation: We'll talk through your past projects. Be ready to go deep on architectures you've personally designed and built. We'll ask why a lot.
2. Live build exercise: We'll give you a realistic client scenario and ask you to architect and start building the solution using whatever AI‑assisted tools you prefer. We want to see how you think, how you use tools, and how you handle ambiguity.
3. Client simulation: We'll role‑play a client meeting where you need to present a technical solution to a mixed audience and handle pushback.

The ideal candidate is based in the metropolitan Washington, DC area. They are expected to travel as needed to client sites and to our offices in Maryland and Virginia.

Compensation

$150,000 base with target $30,000-$45,000 variable

Why Join ExeQut?

If you are a driven professional with a passion for Data & AI solutions, and you want to make an impact by working on high-profile projects across North America, wed love to hear from you.