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.