Company Overview

Exe Qut 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 build production-grade AI and cloud solutions and explain them convincingly to a client.

This isn't a pre-sales role where you present someone else's slides. You'll hear the client's problem, design the architecture, build the proof of concept, write the technical volume, and present it to a room that holds both a CTO and a program manager — pursuit through delivery.

We use AI tools aggressively. You should be fluent with AI-assisted development (Claude Code, Cursor, Copilot) and use it to ship faster.

Key Responsibilities

Join 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 AWSWrite technical proposal volumes and statements of work that are specific, credible, and win contracts Present architectures and demos to mixed audiences: CTOs, program managers, and technical evaluation committees Contribute to shaping Exe Qut'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

You can build. 5+ years designing and implementing cloud solutions, AWS strongly preferred. You write code, deploy infrastructure, and debug production issues. AI/ML beyond the buzzwords. Hands-on with RAG pipelines, LLMs (prompt engineering, fine-tuning, evaluation), data pipelines, or ML deployment. You can argue vector search options, Bedrock vs Sage Maker, and chunking strategy. Fluent with AI-assisted development. Claude Code, Cursor, Copilot or similar. You direct them well, catch when they're wrong, and ship faster because of them. You can architect. Given a business problem, sketch the full system — ingestion, processing, storage, serving, security — and defend every decision to any audience. You can write and present. Clear technical writing for proposals and SOWs; comfortable in front of executives and engineers at once. AWS depth. ECS/Fargate, Lambda, API Gateway, S3, Dynamo DB, RDS/Aurora, Cloud Front, IAM, VPC, plus Bedrock and/or Sage Maker. SA Associate or Professional a strong plus. Fluent English, written and spoken. Arabic is a plus.


Strongly Preferred

Public sector or regulated-industry clients, with data residency and cloud compliance exposure Technical volumes for competitive tenders, and a feel for evaluation criteria Data engineering — ETL/ELT pipelines, structured and unstructured data at scale Lang Chain/Lang Graph, FAISS/pgvector/Open Search, Hugging Face, PyTorch IaC (Terraform, Cloud Formation, CDK) and CI/CD2+ years in a consulting, pre-sales, or client-facing technical role


How We'll Evaluate You

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. 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. Client simulation. We'll role-play a client meeting where you need to present a technical solution to a mixed audience and handle pushback.


Role Type: Full-Time

Location: Remote (aligned with USA time zones)

Working Days: Monday - Friday

Hiring Timeline: Immediate

Why Join Exe Qut?

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.

Apply now and be part of Exe Quts journey to transform businesses through innovation and technology.