Responsible AI Manager

Amgen Technology; Hyderabad; Vor Ort; INR 3.500.000 - 5.500.000; Vollzeit

Zusammenfassung

Amgen Hyderabad, India seeks a Responsible AI Manager to be a key partner for product, engineering, data science, and innovation teams. You will translate enterprise Responsible AI standards into practical decisions and working practices for the Amgen India site.

You will build trusted relationships, oversee AI governance questions, and help integrate Responsible AI across the organization, ensuring risk-based decision making and adherence to standards.

Qualifikationen

• 8–13 years of experience in AI/ML, AI governance, or related fields.
• Demonstrated experience leading cross-functional projects in a complex, matrixed organization.

Aufgaben

• Drive enterprise AI governance adoption across Amgen India and Amgen India site.
• Embed Responsible AI into the innovation ecosystem by partnering with product, engineering, data science, platform, and innovation teams.
• Build site-level understanding of Responsible AI through sessions, guidance, and forums.
• Serve as a trusted advisor for product, engineering, data science, and platform teams; participate in planning discussions for governance needs.
• Coordinate with Quality, Technology, Security, Privacy, Legal, and business partners for specialist input.
• Represent Responsible AI at Amgen India events and communities of practice.
• Surface recurring governance questions and share insights to inform scalable guidance.
• Partner with the AI Data Science Center of Excellence on governance-relevant evaluation metrics.

Kenntnisse

Responsible AI governance

Cross-functional leadership

AI/ML lifecycle

Stakeholder management

Regulatory awareness

Jobbeschreibung

About Amgen

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

About the Role

Role Description

The Responsible AI Manager sits within the Amgen Responsible AI team in the Artificial Intelligence Data Science organization and is based in Hyderabad, India. This role serves as Responsible AI partner for the Amgen India (AIN) site, helping product, engineering, data science, and innovation teams translate enterprise Responsible AI expectations into practical decisions and ways of working.

You will build trusted relationships across Amgen India and serve as a practical point of contact for AI governance and responsible development and use questions, helping teams interpret and apply enterprise Responsible AI standards, processes, and expectations consistently.

The role partners closely with the AI Data Science team, Technology, and relevant Quality, Technology, Security, Privacy, Legal, and business teams. It will help make Responsible AI a practical, integrated part of Amgen Indias innovation ecosystem.

Responsibilities

• Drive appropriate implementation and adoption of enterprise AI governance requirements across the enterprise and in Amgen India,helping ensure expectations are visible, understood, and consistently applied across the organization.
• Embed Responsible AI into Amgen's innovation ecosystem by partnering early with product, engineering, data science, platform, and innovation teams to identify governance needs, risks, and decision points.
• Build a consistent site-level understanding of Responsible AI, AI governance, and risk-based decision making through office hours, targeted sessions, practical guidance, and participation in relevant forums.
• Serve as a trusted advisor and responsive point of contact for product, engineering, data science, platform, and innovation teams; participate in planning and delivery conversations as needed to identify governance needs early.
• Coordinate with relevant Quality, Technology, Security, Privacy, Legal, and business partners when AI governance questions require specialist input or escalation.
• Represent Responsible AI at relevant Amgen India events, forums, and communities of practice.
• Surface recurring governance questions, pain points, and emerging risks from Amgen India teams; share local implementation insights with the enterprise Responsible AI team to inform scalable guidance, literacy efforts, and enablement.
• Partner with the AI Data Science Center of Excellence on governance-relevant evaluation metrics, thresholds, and monitoring considerations where they intersect with enterprise AI governance requirements.

Basic Qualifications and Experience

• 8-13 years of overall experience inAI/ML, AI product development, data science, machine learning, engineering, information systems, AI governance, technology risk, compliance, quality, digital transformation, or a related field.
• Demonstrated experience leading cross-functional projects, programs, or workstreams in a complex, matrixed organization.

Must-Have Skills

• Working knowledge of modern AI systems, including generative AI and the AI development lifecycle, with the ability to engage credibly with product, engineering, and data science teams.
• Understanding of Responsible AI, AI governance, AI risk management, and relevant regulatory or standards-based expectations, such as the NIST AI Risk Management Framework and EU AI Act concepts.
• Ability to translate policy, governance, risk, quality, privacy, security, or compliance expectations into practical guidance, processes, documentation, and action for delivery teams.
• Strong communication, facilitation, and stakeholder-management skills; comfortable advising teams, responding to questions, and influencing without direct authority.
• Ability to work effectively across global and local teams, manage competing priorities, and exercise sound judgment on when to advise, elevate, or engage specialist partners.

Nice-to-Have Skills

• Experience in AI product development, data science, machine learning, MLOps/LLMOps, AI evaluation, observability, platform governance, or AI security.
• Experience in biotechnology, pharmaceuticals, healthcare, financial services, or another regulated industry.
• Experience supporting AI governance-by-design, technical control implementation, risk assessments, audit readiness, or lifecycle monitoring.