Principal/Senior AI/ML Architect

Job not on LinkedIn

🕒 June 18

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Stratus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

Stratus is a B2B technology and consulting firm that helps property & casualty insurers and Managing General Agents modernize legacy core systems, migrate to the cloud, and transform insurance data to enable faster product launches, better analytics, and operational efficiency. It offers domain-focused services including Guidewire and Insurity implementation and optimization, cloud migration roadmaps on Azure, AI readiness and execution, data strategy and governance, application maintenance and QA, platform selection support, and on-demand IT talent via embedded delivery pods. Stratus positions itself as a high-touch partner delivering practical, people-first modernization and talent solutions for insurance technology transformation.

📋 Description

• 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.