Principal/Senior AI/ML Architect
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Job Description
Principal AI/ML Architect at Stratus, overseeing architectural direction for Intelligence and Agentic Workflows. Designing AI/ML solutions with a focus on reliability and customer collaboration.
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-step systems with strong trust patterns (grounding, evals, confidence scoring)
- Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness
- Make 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 enable just-in-time interfaces
- Build evaluation frameworks: 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
- Lead 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; raise the technical bar through code review, design review, and technical coaching.
Requirements:
- 10+ years software engineering experience
- 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 (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
- 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.
Benefits:
- Comprehensive and competitive health benefits plan
- Matching 401k contributions
- 20 days annual PTO
- Primarily remote work with occasional annual team onsites.
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