Lead AI Architect | Engineering AI & Agentic Systems

About the RoleWe are seeking a visionary and hands-on Lead AI Architect specializing in Engineering AI and Agentic Systems to pioneer the digital transformation of our digital engineering ecosystem. In this high-impact, fully remote leadership role, you will define and execute the engineering AI reference architecture, driving intelligent automation across our Product Lifecycle Management (PLM), Computer-Aided Design (CAD), and Computer-Aided Engineering (CAE) systems.As our Lead Architect, you will sit at the intersection of cutting-edge artificial intelligence and mission-critical engineering operations. You will be responsible for translating complex domain workflows into sophisticated, production-grade agentic systems and contextual data architectures, working closely with enterprise IT, digital engineering teams, and leading technology vendors to bring generative and deterministic AI capabilities to life.Key Responsibilities:Own, define, and evolve the core Engineering AI reference architecture, seamlessly integrating with enterprise AI gateways, agent registries, and shared observability frameworks.Architect and implement autonomous AI agents and multi-step engineering workflows featuring dynamic tool-calling, state persistence, approval flows, and auditable actions.Design, build, and sustain robust Model Context Protocol (MCP) servers, API adapters, and secure integration pipelines for CAD, PLM, CAE, and enterprise repositories.Formulate domain-specific knowledge architectures, including GraphRAG, engineering ontologies, semantic retrieval, and revision-aware context engines.Lead vendor due diligence, architectural assessments, and deep-dive technical evaluations for third-party AI platforms (such as CoLab, Synera, PTC Creo/Windchill AI, and Ansys AI).Establish rigorous security protocols, identity propagation, CI/CD pipelines, and governance standards in alignment with enterprise cybersecurity policies.Drive solutions from proof-of-concept through to scaled production for core use cases, including automated design reviews and simulation workflow automations.Mentor, guide, and technically lead cross-functional squads of agent developers, data engineers, and AI software practitioners.Required Qualifications & Skills:Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related engineering discipline.12+ years of progressive software development, solution architecture, and enterprise systems integration experience.Proven track record of designing and deploying production-grade Generative AI and Agentic AI architectures, including tool use, agent orchestration, and evaluation frameworks.Advanced Python development capabilities coupled with comprehensive REST/GraphQL API and enterprise backend integration experience.Hands-on experience developing or architecting Model Context Protocol (MCP) or comparable tool-server integration patterns.Demonstrated domain familiarity across at least two engineering disciplines: CAD, PLM, CAE/simulation, requirements engineering, or NPD workflows.Deep understanding of enterprise cloud architectures, identity/access control (IAM), DevSecOps, and AI safety practices.Preferred Qualifications:Practical experience with engineering software platforms such as PTC Creo/Windchill, Ansys, CoLab, or Synera.Familiarity with agentic orchestration frameworks (e.g., LangGraph, Semantic Kernel, Amazon Bedrock) and Databricks data ecosystems.Expertise in knowledge graph construction, ontologies, vector search, and digital thread implementations.Understanding of geometric feature analysis, deterministic engineering rules, surrogate models, or solver automation.What We Offer / Benefits:Competitive compensation package with comprehensive healthcare coverage.100% remote work flexibility with home-office enablement support.Generous paid time off, company holidays, and parental leave policies.401(k) retirement plan with competitive company matching.Continuous professional development, certification allowances, and access to state-of-the-art AI infrastructure.