Principal/Senior AI/ML Architect

Stratus

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.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Azure.NETPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Comprehensive and competitive health benefits plan
Matching 401k contributions
20 days annual PTO
Primarily remote work with occasional annual team onsites.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC#.NETAI/ML stackLangChainLangGraphPyTorchsklearnRAGmodel training

Soft Skills

mentoringcommunicationtechnical coachingleadershipcollaborationdesign reviewcode reviewproblem-solvingadaptabilitycustomer engagement