Agentic AI Specialist

Agentic AI Specialist Chicago, IL - Onsite preferred/ Open for 100% REMOTE 3-6 months (may be extended) Role Overview • :As a Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with subject matter experts, product, and engineering teams to rapidly design, architect, prototype, and deploy solutions that solve high-priority business problems. This is not a traditional engineering role with long delivery cycles. You will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability • .You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority. You are equally comfortable whiteboarding a system architecture with senior stakeholders and writing production code the same afternoon. You have direct experience developing agents on platforms like AWS Agent Core, and you thrive in fast, ambiguous environments where creative thinking and execution speed matter . Key Responsibiliti esSolution Design & Architectu • reLead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical bluepri • ntDefine and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audienc • esDesign scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainabili • tyParticipate in architecture reviews, ensuring alignment with enterprise patterns and platform standar • dsCreate clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution brie fsRapid Prototyping & Solution Delive • ryDesign and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to wee • ksTranslate ambiguous business requirements into concrete technical solutions with minimal hand-holdi • ngBalance speed of delivery with enterprise standards — your prototypes are production-ready, not throwaw • ayContinuously iterate on solutions based on direct feedback from product managers, program leads, and end use • rsDevelop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for business use • rsApply strong UX instincts to simplify complex flows and make agent outputs accessible and actionable for non-technical stakeholde rsAI Agent Developme • ntDesign, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-e • ndDevelop and maintain agent skills — discrete, reusable capabilities that compose into larger agentic pipelin • esImplement and extend Model Context Protocol (MCP) servers and clients to connect AI agents with enterprise tools, APIs, and data sourc • esDesign evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in producti • onStay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the te • amIntegrate LLMs, RAG systems, and ML models into production workflo wsCollaboration & Stakeholder Engageme • ntEmbed directly with product, program, and engineering teams to co-define problems and co-deliver solutio • nsInfluence technical direction and build alignment across teams without relying on formal authori • tyCommunicate complex technical concepts clearly to non-technical business stakeholders — in writing, in meetings, and in executive presentatio • nsMentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delive • ryFoster a collaborative, low-ego team culture where speed and quality go hand in ha nd