AI Tech lead

Zoetis; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Zoetis India Capability Center (ZICC) in Hyderabad seeks an AI Tech Lead to act as a key technical resource for the ZenAI platform, guiding complex integration and engineering efforts. Initially an IC, the role will evolve to lead a small team and coordinate with global governance teams across time zones.

The ideal candidate has 8+ years in technical roles, strong API and platform skills, and a track record in automation and tooling. Office-based role with travel as needed.

Qualifications

• 8+ years in technical roles such as software/platform engineering or solution architecture.
• Experience with API integrations, enterprise system connections, and automation.
• Proven ability to troubleshoot complex multi-system issues.
• Prior people leadership or team lead experience preferred.

Responsibilities

• Own capacity model and master data in SAP IBP; coordinate data corrections.
• Run SAP IBP heuristics to identify constraints and generate system alerts.
• Build comparable scenarios for mid- and short-term planning.
• Execute resolution modelling in SAP S4 ePPDS and SAP IBP.
• Drive digital twin development and progressive planning maturity.
• Own planning parameters and ensure accurate configuration and governance.

Skills

AI platforms

Python

REST APIs

Databricks

SQL databases

Cost optimization (FinOps)

CICD / tooling

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

Advanced degree preferred

Tools

GitHub Copilot

Confluence

Microsoft Teams

SharePoint

Job description

POSITION SUMMARY

The AI Tech Lead serves as a key technical resource for the ZenAI platform and a critical escalation point for complex platform, integration, and engineering issues. The role requires deep platform expertise and is responsible for feature evaluation, advanced technical consulting, and development of the internal tools on which the team depends. The AI Tech Lead ensures that solutions deployed on ZenAI are optimized for performance, cost efficiency, and model selection; advises power users and technical audiences on advanced platform capabilities; and serves as the technical liaison to vendor engineering and support teams. This role will initially operate as an individual contributor and is expected to evolve into a people‑leadership position with one to three direct reports as the team grows. The role also provides complementary coverage across time zones in partnership with the global AI Capabilities & Governance team.

POSITION RESPONSIBILITIES

• Master Data and Capacity Model Ownership: Own the capacity model and related planning master data in SAP IBP. Use the master data dashboard to identify gaps or inaccuracies in production run rates, changeover constraints, material lead times, resource calendars and other planning parameters. Coordinate corrections with the relevant supply planners and master data stewards responsible for maintaining the source data in ECC/S/4HANA.
• Constraint Identification and Alert Generation: Run SAP IBP heuristics and planning algorithms to identify constraints across the supply network. Generate system alerts for capacity bottlenecks, material shortages, safety stock violations, and demand‑supply imbalances.
• Scenario Building: Build comparable scenarios with consistent assumptions that enable the Supply Planers in both the Mid‑Term and Short‑Term to evaluate alternatives. Ensure scenarios are structured, repeatable, and documented so that leadership can compare options on a level playing field.
• Resolution Modelling: Execute resolution modelling in SAP S4 ePPDS and SAP IBP to test proposed solutions before they are committed. Validate feasibility of allocation changes, schedule adjustments, and capacity rebalancing options.
• Digital Twin Development: Drive digital twin development as organizational maturity evolves. Progress the modelling capability through maturity stages: heuristic‑based planning, optimizer‑driven planning, and ultimately AI/Joule‑enabled autonomous planning.
• Data and Parameter Stewardship: Serve as the owner of planning parameters, ensuring that safety stock targets, lot sizes, planning horizons, and aggregation rules are correctly configured and regularly reviewed for accuracy. Ensure issues identified through modelling or business plan validation are escalated and corrected at source where required.

RESOURCES MANAGED

Financial Accountability: None. Supervision: Initially an individual contributor role. Expected to supervise one to three ZICC‑based direct reports (AI Tech Analysts) over time as the team grows.

EDUCATION AND EXPERIENCE

The following education and experience qualifications are required or preferred: Bachelor's degree in Computer Science, Engineering, Information Technology, or related field required; advanced degree preferred 8+ years of professional experience in technical roles such as software engineering, platform engineering, or solution architecture 5+ years of hands‑on experience with API integrations, enterprise system connections, and automation platforms Demonstrated expertise with AI platforms and technologies, including agentic and generative AI Experience evaluating, testing, and rolling out new platform features in an enterprise environment Proven ability to troubleshoot complex technical issues across multiple systems Experience building internal tooling, dashboards, and automation solutions Prior people leadership or team lead experience preferred Experience in the pharmaceutical, life sciences, or regulated industry preferred.

TECHNICAL SKILLS REQUIREMENTS

Deep expertise with enterprise AI platforms and technologies, including agents, workflows, skills, integrations, and agentic AI; experience with Langdock, OpenAI, or similar platforms preferred. Experience with MCP (Model Context Protocol) services and MCP gateways; experience with REST APIs, webhooks, OAuth, and event‑driven architectures Strong proficiency in Python and scripting languages for automation and tooling Experience with Databricks preferred Proficiency with database technologies (SQL Server, PostgreSQL) and reporting frameworks Understanding of FinOps principles, token/cost tracking, and spend optimization Experience with AI‑assisted coding tools (GitHub Copilot, Claude Code, GPT Codex, or similar) Experience with Flask, Posit/RStudio, or similar application development frameworks Proficiency with collaboration tools (Microsoft Teams, SharePoint, Confluence) Strong written and verbal communication skills; ability to explain complex technical concepts to both technical and non‑technical audiences.

PHYSICAL POSITION REQUIREMENTS

Primarily office‑based at the Zoetis India Capability Center (ZICC) in Hyderabad, India. Occasional travel (0–10%). Schedule flexibility required to provide complementary time zone coverage with the global AI Capabilities & Governance team.

ABOUT US

At Zoetis, our purpose is to nurture our world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award‑winning culture, built around our Core Beliefs, focuses on our colleagues’ careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well‑being in every sense, from health and financial wellness to family and lifestyle resources.