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 t...