Applied AI Architect, Meta Enterprise Platform

What you'll do

• Discover customer needs and design AI solution architectures, integrations, evaluations, and proofs of value.
• Own technical customer engagements from sales discovery through production deployment and ongoing adoption; address blockers and support account growth.
• Advise on AI architecture, security, governance, and responsible AI, and collaborate with internal teams and customer stakeholders.

What they ask for

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• 5+ years in a technical customer-facing role, such as AI Architect, Solutions Architect, Sales Engineer, or Technical Account Manager.
• Experience engaging enterprise customers through sales, purchasing, and deployment decisions, and consultative selling in competitive enterprise sales cycles.
• Cloud architecture and enterprise integration knowledge; Python skills; familiarity with Generative AI APIs, RAG, vector databases, and evaluation frameworks.

Nice to have

• Experience creating and delivering technical enablement programs.
• Experience with frameworks like LangChain/LangGraph and AI compliance frameworks such as FedRAMP or HIPAA.

Pay

$157,000/year to $215,000/year USD base salary

Tools

AWS, GCP, Azure, Python, OpenAI, Anthropic, LangChain/LangGraph, Model API

AI focus

Generative AI architecture and deployment, including LLM selection, RAG, prompt engineering, agentic workflows, evaluations, AI security and guardrails, and responsible AI.