Job Description:
Design and implement agentic AI architectures (planning, tool‑use, orchestration)
Deliver end‑to‑end production AI solutions from data to deployment Establish MLOps, observability, and reliability for AI systems Define reusable AI architecture standards and guardrails Collaborate with product and platform teams to integrate AI into products Qualification, Skills, and Experience:
Strong hands‑on experience with Agentic AI and applied ML
Proficient in Python, ML frameworks, and cloud‑native deployment Solid software engineering and MLOps background Experience shipping AI systems into production Typically 8-+ years in AI/ML or AI‑centric software engineering roles Key Competencies:
Strong ownership and accountability mindset
Evidence‑based, quality‑driven decision making Collaborative and proactive across teams Comfo...