Senior Specialist / Lead - Human Capital (GAI)

D. E. Shaw India · Hyderabad

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Last observed by our collector: 8 October 2026 at 11:19 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 6919

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Collected minimum qualification: • Bachelor’s degree (or equivalent) in a relevant field. • 7–10 years of overall experience, including 3+ years building AI/ML or GenAI applications in production environments. • Hands-on experience building AI applications using patterns and frameworks such as RAG, agentic workflows, MCP, and/or LangGraph (or equivalent). • Strong Python skills, including data processing and building APIs/services for AI applications. • Experience with LLM application architecture and evaluation (e.g., quality, grounding, hallucination, safety, latency/cost), including test set design and iterative improvement. • Ability to operate effectively in ambiguous environments, manage multiple workstreams, and drive delivery through cross-functional dependencies. • Strong project management skills: prioritization, milestone tracking, risk management, and stakeholder communication. • Excellent written and verbal communication skills; able to translate business needs into practical AI-driven solutions for both technical and non-technical audiences. • Preferred experience in delivering AI solutions in Human Capital domains (e.g., recruiting, assessment, learning, people analytics). • Good to have familiarity with developer productivity tools such as Cursor and Claude Code (or equivalent). • Advanced coursework or significant experience delivering technology-driven products is a plus.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

We are seeking a candidate with deep hands-on experience building and deploying AI applications to join our Human Capital (HC) team in Hyderabad and Bengaluru. You will be an early member of a growing group that designs, builds, and implements AI solutions that fundamentally improve the way HC operates. You will operate at the intersection of people strategy, product design, and modern AI capabilities. This role partners closely with HC leads, product management, and engineering to deliver AI features that are measurable, secure, and scalable. In this role, you will partner with HC and cross-functional stakeholders to identify high-value opportunities for AI, translating business needs into clear problem statements, success metrics, and delivery plans. You will lead end-to-end development of AI-powered tools—from discovery and prototyping through iteration and production hardening—using Python and modern AI frameworks. You will collaborate with product managers and other development teams to integrate AI capabilities into existing systems, aligning with the firm’s architecture, security, privacy, and governance standards. You will also create user guides, training materials, and responsible AI documentation to drive adoption and build AI literacy across the HC function. You will evaluate and refine AI solutions through experimentation, stakeholder feedback, and outcome monitoring, recommending improvements to quality, safety, and performance. You will stay current on the rapidly evolving GenAI landscape, bringing informed perspectives on models, tooling, and best practices to influence technical direction and roadmap decisions. • Bachelor’s degree (or equivalent) in a relevant field. • 7–10 years of overall experience, including 3+ years building AI/ML or GenAI applications in production environments. • Hands-on experience building AI applications using patterns and frameworks such as RAG, agentic workflows, MCP, and/or LangGraph (or equivalent). • Strong Python skills, including data processing and building APIs/services for AI applications. • Experience with LLM application architecture and evaluation (e.g., quality, grounding, hallucination, safety, latency/cost), including test set design and iterative improvement. • Ability to operate effectively in ambiguous environments, manage multiple workstreams, and drive delivery through cross-functional dependencies. • Strong project management skills: prioritization, milestone tracking, risk management, and stakeholder communication. • Excellent written and verbal communication skills; able to translate business needs into practical AI-driven solutions for both technical and non-technical audiences. • Preferred experience in delivering AI solutions in Human Capital domains (e.g., recruiting, assessment, learning, people analytics). • Good to have familiarity with developer productivity tools such as Cursor and Claude Code (or equivalent). • Advanced coursework or significant experience delivering technology-driven products is a plus.

Collected minimum qualification

• Bachelor’s degree (or equivalent) in a relevant field. • 7–10 years of overall experience, including 3+ years building AI/ML or GenAI applications in production environments. • Hands-on experience building AI applications using patterns and frameworks such as RAG, agentic workflows, MCP, and/or LangGraph (or equivalent). • Strong Python skills, including data processing and building APIs/services for AI applications. • Experience with LLM application architecture and evaluation (e.g., quality, grounding, hallucination, safety, latency/cost), including test set design and iterative improvement. • Ability to operate effectively in ambiguous environments, manage multiple workstreams, and drive delivery through cross-functional dependencies. • Strong project management skills: prioritization, milestone tracking, risk management, and stakeholder communication. • Excellent written and verbal communication skills; able to translate business needs into practical AI-driven solutions for both technical and non-technical audiences. • Preferred experience in delivering AI solutions in Human Capital domains (e.g., recruiting, assessment, learning, people analytics). • Good to have familiarity with developer productivity tools such as Cursor and Claude Code (or equivalent). • Advanced coursework or significant experience delivering technology-driven products is a plus.

Collected experience requirement

7-10 years