Sr Data Scientist/AI Applications Engineer

Biopharma Careers; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amgen India seeks a Level5 AI Engineer to design, develop, and deploy AI-enabled workflow capabilities for Process Development. You will translate ambiguous scientific and operational needs into actionable technical work, including agents, context engineering patterns, and data pipelines, collaborating across time zones.

The role requires strong Python skills, hands-on AI/ML experience, and the ability to lead technical delivery with cross-functional teams.

Qualifications

• Hands-on experience building AI, ML, generative AI, agentic, retrieval-augmented systems.
• Strong programming skills in Python and modern software engineering practices.
• Experience with experimental data, scientific metadata, and data pipelines.
• Experience designing evaluation methods for AI or analytics systems.
• Ability to translate ambiguous scientific or operational problems into clear technical requirements and plans.

Responsibilities

• Frame and deliver AI-enabled use cases by translating needs into actionable product, data, and AI use cases.
• Build workflow, data, and knowledge foundations including agents, automation patterns, and retrieval flows.
• Support product ownership and adoption with backlog shaping, release planning, and measurable outcomes.
• Provide technical leadership across data scientists, AI engineers, and stakeholders to drive delivery decisions.

Skills

AI/ML engineering

Python programming

Data pipelines

Experiment data handling

Requirement translation

Technical communication

Cross-functional collaboration

Problem solving

Global collaboration

Education

Bachelor's or Master's degree

Tools

Python

Job description

Career Category

Process Development

Job Description

Job Summary

Transformative Digital Capabilities (TDC) drives Process Development (PD) and Operations digital transformation through pragmatic digital innovation that systematically delivers for the present while also building for the future. Our mission is to empower Process Development staff to harness their transformative potential through the rapid convergence of chemistry, biology, engineering, and computing, accelerated by innovative digital capabilities. TDC's core competencies span clear thought leadership and deep domainexpertisein Data Products, Artificial Intelligence, Digital Twins, Product Management, and Organizational Change Management following Scaled Agile practices.

As part of our team expansion at Amgen India (AIN), we are seeking a multi-faceted Level5 AI Engineer to design, develop, evaluate, and deploy AI-enabled workflow capabilities for Process Development. The successful candidate will translate ambiguous scientific and operational needs into executable technical work, including agents, context engineering patterns, workflow automation, retrieval and data pipelines, evaluation harnesses, benchmarks, and evidence packs. This role will partner closely with U.S. TDC leaders, AIN colleagues, Rapid AI squads, data strategy teams, experimental data teams, and software/platform partners. The role requires strong technical ownership, clear communication, and disciplined execution across time zones.

What You Will Do

Frame and deliver AI-enabled use cases:translate ambiguous business, scientific, engineering, and operational needs into actionable product, data, and AI use cases, then design and implement practical workflow solutions that solve real Process Development problems.

Build workflow, data, and knowledge foundations:develop agents, automation patterns, retrieval flows, context engineering approaches, and human-in-the-loop workflows, while working with structured and unstructured experimental data, metadata, protocols, reports, controlled vocabularies, taxonomies, semantic models, entity relationships, graph data models, entity resolution approaches, and semantic query patterns.

Support product ownership and adoption:work with product owners and business partners to shape backlog, prioritization, release planning, stakeholder expectations, feedback loops, adoption approach, and measurable client outcomes for AI-enabled capabilities.

Provide technical leadership in delivery:help data scientists, AI engineers, ontology specialists, product owners, business partners, and other stakeholders work through delivery decisions, dependencies, and tradeoffs without adding people-management scope to the role.

Develop evaluation, evidence, and reusable solutions:create benchmarks, test sets, acceptance criteria, evaluation harnesses, quality checks, and evidence packs, and package prompts, retrieval logic, data contracts, notebooks, scripts, or services so solutions can be reused rather thanremainingone-off prototypes.

Document and communicate the technical basis:explain assumptions, data lineage, model or agent behavior, limitations, validation evidence, andappropriate useto technical and non-technical stakeholders.

Basic Qualifications

Bachelor's ORMaster'sdegree and minimum of 7 years of related experience in engineering, computer science, data science, applied mathematics, statistics, life sciences, or a related technical field

Required Skills

• Hands-on experience building AI, machine learning, generative AI, agentic, retrieval-augmented generation, workflow automation, or decision-support systems.


• Strong programming skills in Python and experience with modern software engineering practices, including version control, testing, packaging, documentation, and reproducible workflows.


• Experience with experimental data, scientific metadata, laboratory or process development workflows, knowledge management, data pipelines, or data product development.


• Experience designing evaluation methods for AI or analytics systems, including benchmarks, test sets, model or agent performance metrics, error analysis, and acceptance criteria.


• Ability to translate ambiguous scientific or operational problems into clear technical requirements, implementation plans, and measurable outcomes.


• Understanding ofbiopharmaceutical development, process development, manufacturing science, analytical development, orrelatedregulated technical environments.


• Experience with cloud, data platform, API, notebook, or application development patterns used to deploy reusable analytical or AI capabilities to internal users.


• Strong written and verbal communication skills, including the ability to document technical assumptions, limitations, data lineage, validation evidence, and user guidance.


• Demonstrated ability to independently uncover, structure, and resolve issues associated with scientific, engineering, data, or AI-enabled delivery projects.


• Ability to work effectively in a matrixed global environment across AIN and U.S. time zones, with scientists, engineers, product owners, data strategists, and software/platform partners.

Candidate Profile

The ideal candidate is a hands-on AI and data engineer who canoperateclose to Process Development problems, build credible technical solutions, and create the delivery evidence needed for adoption. They should be comfortable moving between scientific workflow context, data strategy, AI experimentation, software delivery, and stakeholder communication.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

careers.amgen.com.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, nationalorigin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable

accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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