Amgen

Manager, Agentic AI Business Solutions, Neural Nexus

India · On-site · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerAmgen
LocationIndia
Work styleOn-site
Employment typeFull time
Employer posted23 Sep 2026

Career Category

Sales & Marketing Operations

Job Description

What You Will Do

Let’s do this. Let’s change the world! In this vital role of Manager, Agentic AI Business Solutions, Neural Nexus, you will execute and scale Agentic AI solutions supporting Amgen’s global commercial and analytics functions.

You will partner with GCCI, Commercial, AI&D, and Technology teams to translate business needs into scalable AI solutions, contributing hands-on across data, prompt engineering, agent development, deployment, and adoption.

Key Responsibilities

Strategic Leadership & Roadmap Development

• Execute against the Agentic AI roadmap aligned to commercial use cases.

• Identify reusable agents, prompts, data assets, and solution components across use cases.

End-to-End Development of NN Platform Lifecycle

• Develop Agentic AI solutions from requirements and prototyping through testing, deployment, and support.

Show full description

• Interpret the business case and developing mockups or AI prototypes to help validate concepts and advance initiatives.

• Apply data science and prompt engineering techniques to prototype, evaluate, and optimize LLM-powered agents and workflows.

• Partner with Data Scientists and AI Engineers on model selection, evaluation, prompt design, and agent performance.

• Coordinate testing, UAT, releases, and post-launch performance monitoring.

• Ability to work on upgrades and manage the execution of existing AI solutions.

Cross-Functional Team Orchestration & Collaboration

• Coordinate across business, Data Science, Data Engineering, AI&D, Technology, and governance teams.

• Translate business needs into data, model, prompt, and technical requirements.

Executive Stakeholder Management & Strategic Communication

• Provide clear updates on progress, solution performance, risks, and readiness.

• Communicate AI solution capabilities and limitations to business stakeholders.

Preferred Qualifications

• Bachelor’s degree and relevant experience in Data Science, Data Engineering, AI/ML, Analytics, Computer Science, Engineering, or related discipline.

• Advanced AI Literacy of GenAI, LLMs, and the Agentic paradigm (e.g., building and integrating intelligent agents into the broader ecosystems)

• Experience developing and deploying AI/ML or Generative AI solutions, preferably within commercial life sciences.

• Hands-on experience with LLMs, prompt engineering, agentic workflows, model evaluation, and AI solution prototyping.

• Experience working with structured and unstructured data, data pipelines, APIs, and cloud-based data environments.

• Working knowledge of Python, SQL, and modern AI/ML and data engineering tools.

• Ability to translate business requirements into data, AI/ML, and technical solutions.

• Strong Technical Aptitude (AI/ML): Strong conceptual and practical understanding of AI/ML technologies, with a particular emphasis on Generative AI, model development lifecycles, platform architecture, and the associated data requirements.

• Communication & Interpersonal Skills: Ability to communicate technical concepts clearly across technical and business stakeholders.

• Problem-Solving & Execution Focus: Ability to prototype solutions, troubleshoot technical and delivery challenges, and execute effectively in a matrixed environment.

• Ethical Standards: Commitment to responsible AI use, compliance, and data integrity.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.