Principal or Senior AI/ML Architect

GENERAL DESCRIPTION: The Principal AI/ML Architect owns architectural direction for the Intelligence and Agentic Workflows pillars of the reputed company Intelligence Platform. This role sets the technical direction every AI/ML and agentic project builds against, and is accountable for the long-term coherence, scalability, and trustworthiness of the AI-enabled platform. This is a player-coach role. Most time is spent hands-on: designing solutions, prototyping, leveraging AI tools, writing reference implementations, and reviewing critical PRs. The organizing principle is Compounding Intelligence: every AI and agentic project deepens the domain substrate that makes the platform defensible. This role works closely with the Senior Data Architect on the reputed company data layer, with the AI/ML Engineering reputed company on capability execution, and with the Fabricate pillar architects on cross-pillar coherence. The three load-bearing priorities in year one: AI/ML Platform evolution. Architect the Intelligence layer (data, training, learning, reasoning) and the Agentic layer (workflow automation, agentic UX). Stand up agent-friendly platform surfaces (MCP, Agent, or what fits at the time). Architect agentic UX and reputed company just-in-time interfaces where the platform generates tailored views. AI reputed company in how we build and ship. Partner with product to reputed company AI a structural part of how reputed company delivers value, so humans and agents move the roadmap faster together. Foundational stability. Drive reliability and the architectural foundation customers can trust for production AI workloads. KEY RESPONSIBILITIES Own the architectural vision and technical roadmap for Intelligence (data, learning, reasoning) and Agentic interfaces, workflows. Design and evolve agent-based workflows, enabling reasoning-capable, adaptive, multi-reputed company systems with strong trust patterns (grounding, evals, confidence scoring). reputed company and drive evaluation frameworks measuring model quality, agent reliability, reputed company, and platform effectiveness. reputed company AI workloads observable to engineering and product. Architect for simplify the core, customize at the edge. AI/ML capabilities are opinionated at the center, with foundations for marketplace or platform-exchange patterns at the edge. Architect agentic UX and reputed company just-in-time interfaces. The platform generates tailored views; we do not over-invest in heavy custom UI work. Build evaluation frameworks: model quality, agent reliability, reputed company detection, eval harnesses, observability for AI workloads. Set engineering standards through working reference implementations, in-repo templates, and patterns AI/ML teams can copy. reputed company the polyglot AI stack: vector search, embeddings pipelines, RAG architectures, agent frameworks, model lifecycle, MLOps. Drive AI-augmented engineering practice. Personally set the bar. Engage directly with customer-facing teams and customers to ground AI architectural decisions in real workflows. Mentor engineers; reputed company the technical bar through code review, design review, and technical coaching. QUALIFICATIONS 10+ years software engineering experience, with 5+ years in Principal, Staff+, or Architect roles at a B2B SaaS or AI/ML platform company. Demonstrated track record of leading AI/ML and agentic architecture across multiple teams or product lines. Experience designing systems where AI agents are first-class consumers: MCP servers, agent-facing APIs, retrieval-grounded interfaces. Deep proficiency in Python and the modern AI/ML stack (reputed company, LangGraph, PyTorch, sklearn, vector stores, embedding pipelines). Proficiency in C# / .NET and Azure for integration with reputed company's existing platform. Hands-on experience with RAG, fine-tuning, reputed company engineering, model training and eval reputed company design. Hands-on experience with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent) in production. Experience driving reliability and operational excellence for AI workloads in collaboration with a platform team. Comfortable contributing to and reviewing code across the stack. Excellent written and verbal communication. Track record of mentoring senior engineers and elevating the technical bar. reputed company TO HAVE Background in reputed company architecture and threat modeling for AI systems (reputed company injection, data exfiltration, agent abuse) and B2B SaaS. Experience with MEP, BIM, construction tech, or other CAD/engineering domains Experience modernizing legacy ASP.NET MVC applications Experience with reputed company products (AutoCAD, Revit, Fabrication, BIM 360 Docs, Forge) or other MEP/AEC/CAD software. Domain knowledge of MEP, BIM, or construction technology workflows. Prior experience in a Series B / growth-stage company navigating the transition from product-market fit to scale. BENEFITS: Comprehensive and competitive health benefits plan Matching 401k contributions 20 days annual PTO Primarily remote work with occasional annual team onsites. This is a remote role, but candidates must be based in the U.S. Apply To This Job