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AI PROJECT MANAGER AI PRODUCT OWNER


Job Location:

Noida - India

Monthly Salary: Not provided by the employer
Experience Required: 5years
Posted: 6 October 2026 (5 hours ago)
Application Deadline: 3 January 2027
Vacancies: 1 Vacancy

Job Summary

AI PROJECT MANAGER / AI PRODUCT OWNERImmediate Joiners Only


Pharma & Enterprise AI Multiplier AI Limited


Location: Hyderabad / Noida

Experience: 515 Years

Employment: Full-Time/ Part- Time

Industry: Pharma industry domain is MANDATORY


WHY JOIN US

Work with global pharma leaders such as Abbott Lilly Merck & San doz

Build and deploy AI & Agentic AI products

Lead a fast-growing AI team

Own enterprise AI implementations from business requirement to production.


ABOUT THE ROLE

We are looking for a high-ownership AI Project Manager / AI Product Owner who can drive enterprise AI products and implementations from requirement gathering development integration UAT deployment production.

You will work closely with AI/ML Engineers Developers Architects Data Engineers QA Security Legal Compliance and senior client stakeholders.


KEY SKILLS

Enterprise Architecture & System Integration

Enterprise Data Architecture & Data Flows

SQL & Databases

APIs REST & Middleware

Cloud & Secure Enterprise Deployment

SAP / SAP S/4HANA

Viva / Salesforce / Microsoft Ecosystem

Python

AI / GenAI / LLM / RAG / AI Agents

AI Governance & Security

UAT Deployment & Production Readiness


KEY RESPONSIBILITIES

Own multiple concurrent AI/Enterprise implementations

Translate business requirements into technical & product deliverables

Coordinate developers AI/ML teams architects and engineering teams

Drive enterprise integrations and technical dependencies

Own UAT deployment go-live and post-production support

Coordinate security privacy legal and compliance approvals

Lead client workshops and senior stakeholder discussions

Manage risks escalations scope and delivery timelines.


MUST-HAVE

515 years in Technical Product Ownership AI Project Management or Enterprise Technology

Mandatory Pharma / Life Sciences / Healthcare experience

Proven enterprise production deployment experience

Strong APIs SQL databases and enterprise data-flow knowledge

Experience working with developers & architects

UAT deployment and go-live ownership

Strong client & senior stakeholder management

Ability to manage multiple projects and international clients


GOOD TO HAVE

SAP/S4HANA Veeva Salesforce AWS/Azure/GCP GenAI RAG AI Agents GxP 21 CFR Part 11 GDPR HIPAA ISO 27001 SOC 2





Required Skills:

Artificial Intelligence Architecture Generative Artificial Intelligence Retrieval-Augmented Generation Machine Learning Python SQL Cloud Data Platforms Machine Learning Operations Large Language Model Operations