Stratus
Principal or Senior AI/ML Architect
Remote (United States) · Principal · Contract
Sponsorship not specifiedDetected 17 days ago
PythonC#.NETCode ReviewVector DatabasesAzureMachine LearningPyTorchscikit-learnRAGAgentic AILangGraphCybersecurityAutoCADCollaborationMentoringRevitBIM
About the role
- Most time is spent hands-on: designing solutions, prototyping, leveraging AI tools, writing reference implementations, and reviewing critical PRs.
- Architect the Intelligence layer (data, training, learning, reasoning) and the Agentic layer (workflow automation, agentic UX).
- Make AI workloads observable to engineering and product.
Responsibilities
- Design and evolve agent-based workflows, enabling reasoning-capable, adaptive, multi-step systems with strong trust patterns (grounding, evals, confidence scoring).
- Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness.
- Build evaluation frameworks: model quality, agent reliability, drift detection, eval harnesses, observability for AI workloads.
- Lead the polyglot AI stack: vector search, embeddings pipelines, RAG architectures, agent frameworks, model lifecycle, MLOps.
- Mentor engineers; raise the technical bar through code review, design review, and technical coaching.
- AI leverage in how we build and ship.
- Partner with product to make AI a structural part of how Stratus delivers value, so humans and agents move the roadmap faster together.
- Drive reliability and the architectural foundation customers can trust for production AI workloads.
Nice to have
- Background in security architecture and threat modeling for AI systems (prompt injection, data exfiltration, agent abuse) and B2B SaaS.
- 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.
- MCP servers, agent-facing APIs, retrieval-grounded interfaces.
- Deep proficiency in Python and the modern AI/ML stack (LangChain, LangGraph, PyTorch, sklearn, vector stores, embedding pipelines).
- Proficiency in C# /.NET and Azure for integration with Stratus's existing platform.
- Hands-on experience with RAG, fine-tuning, prompt engineering, model training and eval harness design.
- Hands-on experience with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent) in production.
Skills
- designing solutions, prototyping, leveraging AI tools, writing reference implementations, and reviewing critical PRs.
- model quality, agent reliability, drift detection, eval harnesses, observability for AI workloads.
- Set engineering standards through working reference implementations, in-repo templates, and patterns AI/ML teams can copy.
- vector search, embeddings pipelines, RAG architectures, agent frameworks, model lifecycle, MLOps.
- Drive AI-augmented engineering practice.
- Personally set the bar.
- Demonstrated track record of leading AI/ML and agentic architecture across multiple teams or product lines.
Benefits
- Own the architectural vision and technical roadmap for Intelligence (data, learning, reasoning) and Agentic interfaces, workflows.
- Comprehensive and competitive health benefits plan Matching 401k contributions 20 days annual PTO Primarily remote work with occasional annual team onsites.
Company info
- Engage directly with customer-facing teams and customers to ground AI architectural decisions in real workflows.
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This listing is sourced directly from Stratus's careers page and normalized into a canonical job model.