> Markdown version of [/jobs/ext/4707671-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4707671-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** LEWIS - **Location:** San Antonio, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Access, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Decision Support Systems, Python (Programming Language), Microsoft Copilot, Software Engineering, Software Requirements Analysis, Systems Integration, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Agentic-AI, Git, Microsoft Copilot Studio, Data Management, Programming Languages - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-san-antonio-tx--f7da9836-041d-4aee-b22d-5ea428be2fe3 ## About the Role Natural Gas, Team Player, Artificial Intelligence (AI), Decision Support, Production Support, Artificial Intelligence (AI) Agents, Testing, Test Plan/Schedule, Documentation, Legal, * Bachelor's degree from a four-year college or university * Minimum three years of related experience and/or training Work Location: Onsite - Candidates must be able to work full-time from our San Antonio office. Computer Skills Advanced proficiency in at least one modern programming language such as: * Python, TypeScript/JavaScript, or C#; APIs; Git; testing; CI/CD; workflow automation; large language models; RAG; AI agents; tool integration; and cloud or enterprise application platforms. * Azure, Fabric, Power Platform, Copilot Studio, and Microsoft Graph experience preferred., * Relevant cloud, Azure, Power Platform, Fabric, security, or software-development certifications preferred. * A valid driver's license may be required for site travel. Other Skills and Qualifications * Consultative discovery, software engineering, process analysis, requirements definition, solution design, testing, technical documentation, stakeholder management, facilitation, training, change adoption, and production troubleshooting. * Ability to work with confidential and company-sensitive information, comply with information-security and responsible-AI requirements, manage multiple engagements, work independently in unfamiliar business areas, and travel periodically to field or operating locations. ## Description The Forward Deployed Engineer will Embed with business and operating teams to identify high-value opportunities to improve how work is performed and designs, builds, deploys, and supports secure, production-ready AI solutions, workflow automations, integrations, and decision-support tools. Owns delivery from workflow discovery through production adoption and measurable business results while developing reusable technical patterns and strengthening organizational AI capability. Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. * Works with business users and subject-matter experts to understand workflows, requirements, decision points, pain points, systems, and data dependencies. * Designs, develops, tests, deploys, and troubleshoots AI agents, copilots, workflow automations, integrations, lightweight applications, and decision-support tools. * Develops and maintains code, prompts, configurations, connectors, tests, documentation, and deployment artifacts. * Coordinates with business owners, the AI Architect, IT, Security, Legal, and data owners to meet architecture, identity, access, data-handling, security, and responsible-use requirements. * Evaluates and prioritizes opportunities based on business value, feasibility, data readiness, risk, and time-to-value. * Defines and executes evaluations for solution quality, grounding, reliability, safety, and user experience. * Reviews adoption, production performance, user feedback, incidents, and improvement opportunities for deployed solutions. * Delivers training, office hours, demonstrations, playbooks, and role-based adoption support. * Travels to field offices or operating locations for discovery, implementation, training, or support. * Captures reusable code, connectors, patterns, documentation, and deployment pipelines for use across teams.