Senior Manager, GAI in Human Capital

HuntingCube; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HuntingCube in Hyderabad, India, seeks a senior AI leader with 8–12 years of experience to drive AI initiatives across technology, data, and product teams.

You will build and scale AI solutions using Python, RAG, and LangGraph, define roadmaps, manage cross-functional programs, and ensure governance and responsible-AI practices while influencing senior stakeholders.

Qualifications

• Bachelor's degree in a relevant field.
• 8–12 years of total experience with at least 5 years leading technology, data, and/or AI-driven initiatives.
• Hands-on experience building AI applications in Python using patterns and frameworks such as RAG, agentic workflows, MCP, and/or LangGraph (or equivalent).
• Experience with LLM application architecture and evaluation including test set design and iterative improvement.
• Partner closely with engineering and product teams on enterprise-scale platforms and contribute to governance, risk, and responsible-AI frameworks.

Responsibilities

• Lead AI initiatives across technology, data, and product teams.
• Build and scale AI solutions for enterprise platforms using Python and modern AI tooling.
• Define roadmaps, prioritize workstreams, and manage cross-functional execution.
• Establish governance, risk management, and responsible-AI practices; communicate with senior stakeholders.

Skills

Leadership experience

Cross-functional collaboration

Executive communication

Python AI development

LLM app design

Education

Bachelor's degree in relevant field

Tools

Python

RAG frameworks

LangGraph

Job description

Job Description

WHO WE ARE LOOKING FOR

The ideal candidate should hold

Basic Qualifications

• A bachelor's degree (or equivalent) in a relevant field
• 8 to 12 years of overall professional experience, with at least 5 years of experience leading technology, data, and/or AI-driven initiatives in complex environments
• Hands-on experience building AI applications in Python using patterns and frameworks such as RAG, agentic workflows, MCP, and/or LangGraph (or equivalent)
• Experience with LLM application architecture and evaluation (e.g., quality, grounding, hallucination, safety, latency/cost), including test set design and iterative improvement
• Prior experience partnering closely with engineering and product teams on enterprise-scale platforms and contributing to governance, risk, and responsible-AI frameworks
• Demonstrated experience building, scaling, and managing teams of technically or analytically oriented professionals
• Proven ability to operate effectively in ambiguous environments, manage multiple workstreams, and drive execution through cross-functional dependencies
• Robust program and stakeholder management skills: prioritization, roadmap planning, decision-making, and executive communication
• Excellent written and verbal communication skills, with the ability to influence senior stakeholders and translate complex technical concepts into clear business narratives

Preferred Qualifications

• The ability to deliver AI solutions in Human Capital domains (e.g., recruiting, assessment, learning, people analytics)
• Familiarity with modern AI development and productivity tools (e.g., Cursor, Claude Code, or equivalent)