AI/ML Lead – Generative AI & Agentic Systems

Role Overview

We are looking for an experienced AI/ML Lead to drive the design, development, and deployment of next-generation Generative AI and Agentic AI systems. This is a lead-level role requiring strong hands-on expertise, architectural ownership, and the ability to mentor teams while working closely with stakeholders.

Key Responsibilities

• Lead the end-to-end design and implementation of AI/ML and Generative AI solutions

• Architect and build Agentic AI systems (multi-agent workflows, orchestration, autonomous decision-making)

• Design scalable AI solutions using AWS Bedrock and the broader Generative AI stack

• Drive AI use cases leveraging the Snowflake AI stack (critical requirement)

• Collaborate with data engineering, product, and platform teams to integrate AI models into production systems

• Ensure best practices around model governance, security, scalability, and performance

• Mentor and guide junior engineers and data scientists

• Stay current with emerging AI/ML trends and apply them pragmatically to business problems

Mandatory Core Skills (Must-Have)

• Snowflake AI stack (Snowflake Cortex, Snowpark, ML workloads on Snowflake) – Critical

• AWS Bedrock (model selection, orchestration, deployment)

• Generative AI stack (LLMs, embeddings, RAG pipelines, prompt engineering)

• Agentic AI systems (agents, tools, memory, planning, orchestration frameworks)

• Strong experience with Python and ML frameworks

• Cloud-native architecture experience on AWS

Good-to-Have Skills

• Experience with vector databases and RAG frameworks

• Exposure to MLOps / LLMOps pipelines

• Experience integrating AI solutions into enterprise-scale applications

• Prior experience in a lead or architect role

Ideal Candidate Profile

• Proven experience leading AI/ML initiatives in product engineering or enterprise environments

• Strong balance of hands-on technical depth and leadership

• Ability to translate business problems into scalable AI solutions

• Comfortable working in fast-paced, client-facing environments