Sr AI Architect - Conversational AI

What you'll do

• Define the long-term AI/ML architecture and own the strategic roadmap for ML/AI Ops platform and tooling.
• Lead architecture and implementation of LLM, RAG, and agentic AI systems, including evaluation and inference optimization.
• Set technical standards and mentor teams while partnering with executives, engineers, and Product Management.

What they ask for

• 15+ years in software engineering, including at least 6+ years building and scaling production-grade ML systems at a platform level.
• Extensive ML Ops and LLM Ops experience, including evaluation, automated retraining, and monitoring of AI features at scale.
• Deep expertise in production ML/AI architecture, transformer models, LLM orchestration, embeddings, inference optimization, vector stores, and Context Engineering.
• Cloud-based services experience using AWS, GCP, or Azure; strong communication and collaboration skills; a Master's or Ph.D. in a relevant quantitative field.

Nice to have

• Relevant publications at top ML conferences or significant open-source contributions.
• Experience with context-quality evaluation frameworks, enterprise-scale ML/AI Ops platforms, or geographically distributed teams.

Pay

$275,840.00 - 344,800.00 USD (pay range; salary type not specified); $292,080.00 - 365,100.00 USD (pay range; salary type not specified); $324,480.00 - 405,600.00 USD (pay range; salary type not specified)

Tools

LLMs, RAG, MCP, AWS, GCP, Azure, transformer models, vector stores

AI focus

Builds conversational and agentic AI capabilities; leads LLM, RAG, Context Engineering, and company-wide ML/AI Ops architecture, emphasizing responsible, reliable, compliant, and cost-effective production systems.