Reads like an AI Engineer role: building products on existing AI models.
India - Hyderabad
Open 3 months, first seen by us 94 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Turn ambiguous scientific and operational needs into AI use cases and workflow solutions
Build agents, retrieval flows and data pipelines over experimental and knowledge data
Create benchmarks, test sets, and evaluation harnesses for AI capabilities
Package prompts, retrieval logic, and services so solutions are reusable
Document assumptions, data lineage, limitations, and validation evidence for stakeholders
translate ambiguous business, scientific, engineering, and operational needs into actionable product, data, and AI use cases
develop agents, automation patterns, retrieval flows, context engineering approaches, and human-in-the-loop workflows
create benchmarks, test sets, acceptance criteria, evaluation harnesses, quality checks, and evidence packs
package prompts, retrieval logic, data contracts, notebooks, scripts, or services so solutions can be reused
explain assumptions, data lineage, model or agent behavior, limitations, validation evidence, and appropriate use
Bachelor's OR Master's degree and minimum of 7 years of related experience in engineering, computer science, data science, applied mathematics, statistics, life sciences, or a related technical field
Hands-on experience building AI, machine learning, generative AI, agentic, retrieval-augmented generation, workflow automation, or decision-support systems.
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 of biopharmaceutical development, process development, manufacturing science, analytical development, or related regulated technical environments.
Open 3 monthsWe first saw this posting 94 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 94
Up longer than most. Similar jobs usually come down between day 4 and day 77.
At Amgen, jobs usually come down by about day 50.
From 51 similar postings that came down, and 238 of Amgen’s. Coming down is not always a hire.
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- 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.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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 domain expertise in 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 Level 5 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 than remaining one-off prototypes.
Document and communicate the technical basis: explain assumptions, data lineage, model or agent behavior, limitations, validation evidence, and appropriate use to technical and non-technical stakeholders.
Basic Qualifications
Bachelor's OR Master's degree 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 of biopharmaceutical development, process development, manufacturing science, analytical development, or related regulated 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 can operate close 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.
Apply now and make a lasting impact with the Amgen team.
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, national origin, 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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India - Hyderabad
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