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AI Tech lead

Zoetis
Hyderabad, IND
Full-time
Lead · 8+ years experience
Onsite
Discovered Today
confluencedatabricksflaskopenaipostgresqlpython

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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
  • The following technical skills are required or preferred:
  • 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. This description indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent. Incumbent may be asked to perform other duties as required. Additional position specific requirements/responsibilities are contained in approved training curricula.
  • This description indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent. Incumbent may be asked to perform other duties as required. Additional position specific requirements/responsibilities are contained in approved training curricula.
  • Full time
  • Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.
  • REQUIREMENTS

Preferred Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field required; advanced degree preferred
  • Prior people leadership or team lead experience preferred
  • Experience in the pharmaceutical, life sciences, or regulated industry preferred
  • 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 Databricks preferred

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