Sr AI Engineer

Posted 24 Minutes Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Biotech • Pharmaceutical
The Role
Build secure, scalable AI applications using LLMs, agentic workflows, retrieval-augmented generation, enterprise data platforms, and cloud technologies. Develop AI agents, copilots, data pipelines, integrations, and evaluation frameworks while supporting governance, privacy, responsible AI, and compliance. Collaborate with stakeholders and engineering teams throughout the solution lifecycle to deliver measurable business value in a regulated environment.
Summary Generated by Built In

Build our Future Together

Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.


At Regeneron Digital & Technology, we are accelerating the adoption of Applied AI to transform how business teams access information, automate workflows, and improve decision-making. We are seeking a Senior Engineer, Applied AI to join our Forward Deployment Engineering team and contribute to building innovative AI-powered applications using Large Language Models (LLMs), agentic AI, enterprise data platforms, and cloud technologies. In this hands-on role, you will work closely with business stakeholders and engineering teams to develop secure, scalable, and production-ready AI solutions that deliver measurable business value while operating in a governed and regulated environment.


When & Where

Hyderabad, India (Hybrid)


Discover Your Role

  • Develop AI-powered applications using Large Language Models (LLMs), agentic workflows, enterprise knowledge retrieval, and governed data platforms.
  • Build intelligent AI agents, copilots, and workflow solutions that enhance business productivity, efficiency, and decision-making.
  • Collaborate with business stakeholders to understand challenges and translate requirements into scalable AI solutions that create measurable impact.
  • Participate in the full AI solution lifecycle, including assessment, planning, design, development, testing, deployment, and continuous improvement.
  • Build and maintain data pipelines, integrations, and enterprise system connections that enable AI applications to securely access governed business data.
  • Design and implement evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness.
  • Partner with engineering, platform, and data teams to ensure AI solutions are scalable, secure, reliable, and aligned with enterprise standards.
  • Participate in technical design reviews, peer reviews, documentation, and AI governance processes to maintain high-quality solutions.
  • Support responsible AI adoption by implementing data privacy controls, governance frameworks, risk mitigation practices, and compliance requirements.
  • Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging technologies to drive innovation across the organization.
  • Foster a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams.

This Role Requires

  • Bachelor's, Master's, or Doctoral degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
  • 4+ years of hands-on experience building software, data, analytics, or AI-driven applications.
  • Experience developing AI applications using Large Language Models (LLMs), agent workflows, retrieval-augmented generation (RAG), prompt engineering, and enterprise system integrations.
  • Strong proficiency in Python, SQL, APIs, and modern software engineering practices for developing scalable AI solutions.
  • Experience with cloud data and analytics platforms such as Databricks, Snowflake, or similar enterprise data environments.
  • Hands-on experience building and managing data pipelines, integrations, and data processing solutions that support AI and analytics workloads.
  • Familiarity with AI evaluation methodologies, testing frameworks, monitoring, observability, and quality measurement practices.
  • Knowledge of data governance concepts, including metadata management, data lineage, data quality, cataloging, and access control.
  • Understanding of responsible AI principles, privacy regulations, governance requirements, and risk management frameworks.
  • Ability to work closely with business users, simplify technical concepts, and deliver practical AI solutions aligned with business goals.
  • Experience within pharmaceutical, biotechnology, healthcare, or other regulated industries is preferred.
  • Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to collaborate effectively across global teams.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all  qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.


Where necessary, we disclose salary ranges for roles in all countries in which we operate.  The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits.  Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process.  If you have any questions, please speak with your recruiter. 


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.

Skills Required

  • Bachelor's, Master's, or Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • 4+ years of hands-on experience building software, data, analytics, or AI-driven applications.
  • Experience developing AI applications using LLMs, agent workflows, RAG, prompt engineering, and enterprise system integrations.
  • Strong proficiency in Python, SQL, APIs, and modern software engineering practices.
  • Experience with cloud data and analytics platforms such as Databricks, Snowflake, or similar enterprise data environments.
  • Hands-on experience building and managing data pipelines, integrations, and data processing solutions.
  • Familiarity with AI evaluation methodologies, testing frameworks, monitoring, observability, and quality measurement.
  • Knowledge of data governance, metadata management, data lineage, data quality, cataloging, and access control.
  • Understanding of responsible AI principles, privacy regulations, governance requirements, and risk management frameworks.
  • Ability to collaborate with business users, simplify technical concepts, and deliver solutions aligned with business goals.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Experience in pharmaceutical, biotechnology, healthcare, or another regulated industry.

Regeneron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Regeneron and has not been reviewed or approved by Regeneron.

  • Healthcare Strength — Health coverage is consistently characterized as strong and competitive, forming a core pillar of the total rewards package. Mentions of robust medical benefits appear alongside broader praise for the overall benefits offering.
  • Retirement Support — Retirement contributions and pension support are repeatedly noted as meaningful components that enhance long‑term financial security. These elements are cited alongside other financial benefits as differentiators.
  • Strong & Reliable Incentives — Bonuses and overtime or shift premiums for eligible roles materially boost total compensation beyond base salary. These incentives are commonly highlighted as positives, particularly in manufacturing and shift-based roles.

Regeneron Insights

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The Company
HQ: Tarrytown, NY
15,000 Employees
Year Founded: 1988

What We Do

At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.

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