Manager, Agentic AI Business Solutions, Neural Nexus

Amgen; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amgen in Hyderabad, India, seeks a Manager for Agentic AI Business Solutions to drive scalable AI across global commercial analytics. You will translate business needs into data, prompts, and AI workflows, partnering with GCCI, Commercial, AI&D and Technology teams to deliver impactful agented solutions.

The role covers lifecycle from prototyping to deployment and post-launch monitoring, requiring hands-on data science, prompt engineering, and collaboration with data scientists and AI engineers.

Qualifications

• Bachelor's degree in data science, computer science, engineering or related field.
• Advanced AI literacy with GenAI and agentic workflows.
• Experience deploying AI/ML or Generative AI in life sciences preferred.
• Hands-on with LLMs, prompt design, evaluation, and prototyping.
• Experience with data pipelines, APIs, and cloud environments.

Responsibilities

• Strategic Leadership & Roadmap Development: Execute the Agentic AI roadmap aligned to commercial use cases and identify reusable components.
• End-to-End NN Platform Lifecycle: Develop AI solutions from requirements through deployment and support; prototype to validate concepts.
• Cross-Functional Team Orchestration: Coordinate with business, data science, data engineering, AI&D, technology, and governance teams.
• Executive Stakeholder Management: Provide clear progress updates and communicate capabilities/limitations to business stakeholders.

Skills

AI/ML expertise

Data engineering

Prompt engineering

LLMs

Python

SQL

Cloud data environments

Communication

Education

Bachelor's degree in Data Science / CS / Engineering

Tools

Jupyter

APIs

Cloud platforms (AWS/Azure/GCP)

Job description

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.
• 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.

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