{"schemaVersion":"jobsearcher.job.v1","id":"2bcfaac11869597d39fe4cd0","url":"https://jobsearcher.com/jobs/2bcfaac11869597d39fe4cd0","canonicalUrl":"https://jobsearcher.com/jobs/2bcfaac11869597d39fe4cd0","title":"AI Solutions Engineer","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.\nJob 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.\nThis 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.\nKey Responsibilities Sit in client discovery sessions, identify the real technical problem, and design the solution architecture, on the spot if needed.\nBuild working proofs of concept and prototypes using Python, AWS services, and modern AI/ML frameworks.\nDesign and implement data pipelines, RAG systems, agentic workflows, API layers, and cloud infrastructure on AWS.\nWrite technical proposal volumes and statements of work that are specific, credible, and win contracts.\nPresent architectures and demos to mixed audiences, federal CTOs, program managers, and technical evaluation committees.\nContribute to shaping ExeQut's service offerings, reusable solution accelerators, and technical marketing materials.\nStay sharp on the AI landscape: new models, frameworks, deployment patterns, cost optimization, and bring that knowledge into every client conversation.\nQualifications & 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.\nYou 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.\nYou'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.\nYou 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.\nYou can write and present. Clear technical writing for proposals and SOWs.\nConfident presenting to rooms that include both executives and engineers.\nAWS 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.\nStrongly Preferred Experience with Federal civilian or SLED clients, including familiarity with FedRAMP, ATOs, and GovCloud constraints\nExperience writing technical volumes for government proposals and understanding evaluation criteria\nBackground in data engineering — building ETL/ELT pipelines, working with structured and unstructured data at scale\nFamiliarity with Python ecosystem for AI/ML: LangChain/LangGraph, FAISS/pgvector/OpenSearch, Hugging Face, PyTorch\nExperience with IaC (Terraform, CloudFormation, CDK) and CI/CD pipelines\n2+ years in a consulting, pre‑sales, or client‑facing technical role\nHow We’ll Evaluate You We don't do trivia interviews. Here's what to expect:\nTechnical 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.\nLive 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.\nClient simulation: We'll role‑play a client meeting where you need to present a technical solution to a mixed audience and handle pushback.\nThe 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.\nCompensation $150,000 base with target $30,000-$45,000 variable\nWhy 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.\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Lanham","state":"MD","isRemote":false,"isActive":true,"createdAt":"2026-07-31T03:21:48.349Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Solutions Engineer","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.\nJob 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.\nThis 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.\nKey Responsibilities Sit in client discovery sessions, identify the real technical problem, and design the solution architecture, on the spot if needed.\nBuild working proofs of concept and prototypes using Python, AWS services, and modern AI/ML frameworks.\nDesign and implement data pipelines, RAG systems, agentic workflows, API layers, and cloud infrastructure on AWS.\nWrite technical proposal volumes and statements of work that are specific, credible, and win contracts.\nPresent architectures and demos to mixed audiences, federal CTOs, program managers, and technical evaluation committees.\nContribute to shaping ExeQut's service offerings, reusable solution accelerators, and technical marketing materials.\nStay sharp on the AI landscape: new models, frameworks, deployment patterns, cost optimization, and bring that knowledge into every client conversation.\nQualifications & 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.\nYou 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.\nYou'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.\nYou 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.\nYou can write and present. Clear technical writing for proposals and SOWs.\nConfident presenting to rooms that include both executives and engineers.\nAWS 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.\nStrongly Preferred Experience with Federal civilian or SLED clients, including familiarity with FedRAMP, ATOs, and GovCloud constraints\nExperience writing technical volumes for government proposals and understanding evaluation criteria\nBackground in data engineering — building ETL/ELT pipelines, working with structured and unstructured data at scale\nFamiliarity with Python ecosystem for AI/ML: LangChain/LangGraph, FAISS/pgvector/OpenSearch, Hugging Face, PyTorch\nExperience with IaC (Terraform, CloudFormation, CDK) and CI/CD pipelines\n2+ years in a consulting, pre‑sales, or client‑facing technical role\nHow We’ll Evaluate You We don't do trivia interviews. Here's what to expect:\nTechnical 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.\nLive 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.\nClient simulation: We'll role‑play a client meeting where you need to present a technical solution to a mixed audience and handle pushback.\nThe 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.\nCompensation $150,000 base with target $30,000-$45,000 variable\nWhy 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.\n\n#J-18808-Ljbffr","datePosted":"2026-07-31T03:21:48.349Z","dateModified":"2026-07-31T03:21:48.349Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lanham","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2bcfaac11869597d39fe4cd0"},"url":"https://jobsearcher.com/jobs/2bcfaac11869597d39fe4cd0"}}