AI Solutions Engineer

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 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 AWS
• Write 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 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

• 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 SageMaker, 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, DynamoDB, RDS/Aurora, CloudFront, IAM, VPC, plus Bedrock and/or SageMaker. 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
• LangChain/LangGraph, FAISS/pgvector/OpenSearch, Hugging Face, PyTorch
• IaC (Terraform, CloudFormation, CDK) and CI/CD
• 2+ 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 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.

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