Sr AI Engineer

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Biotech • Pharmaceutical
The Role
Build and deploy secure, scalable AI applications using LLMs, agentic workflows, RAG, enterprise data platforms, and cloud technologies. Develop data pipelines, integrations, evaluation frameworks, and conversational experiences while supporting AI governance, privacy, compliance, and responsible AI practices. Collaborate with stakeholders, engineering teams, and data partners throughout the full AI solution lifecycle in a regulated enterprise 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 make data-driven decisions. We are seeking a Senior Engineer, AI to join our Forward Deployment Engineering team and help build innovative AI-powered applications using Large Language Models (LLMs), agentic AI, enterprise data platforms, and cloud technologies. This role will collaborate closely with business stakeholders, engineering teams, and data partners to develop secure, scalable, and production-ready AI solutions that drive measurable business outcomes while operating within a governed and regulated environment.


When & Where

Hyderabad (Hybrid)


Discover your role

  • Develop AI-powered applications using Large Language Models (LLMs), agentic AI workflows, retrieval-augmented generation (RAG), and enterprise data platforms.
  • Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and business decision-making.
  • Collaborate with business stakeholders to understand challenges and translate requirements into scalable AI solutions that deliver measurable value.
  • Design, develop, and maintain data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data.
  • Build and implement evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness.
  • Partner with engineering, data, and platform teams to ensure AI solutions are scalable, reliable, secure, and aligned with enterprise architecture standards.
  • Participate in the complete AI solution lifecycle, including assessment, planning, design, development, testing, deployment, and continuous improvement.
  • Contribute to technical documentation, design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance.
  • Support responsible AI practices by implementing data privacy controls, governance standards, risk mitigation approaches, and regulatory requirements.
  • Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging technologies to help 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 equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
  • 3-5 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 enterprise data platforms such as Databricks, Snowflake, or similar cloud-based analytics environments.
  • Hands-on experience building data pipelines, integrations, and data processing solutions that support AI workloads.
  • Familiarity with AI evaluation methodologies, testing frameworks, observability practices, and quality measurement approaches.
  • Knowledge of data governance concepts, including metadata management, data lineage, data quality, cataloging, and access control.
  • Understanding of responsible AI principles, model governance, privacy regulations, risk management, and compliance requirements.
  • Experience working with cloud platforms such as AWS, Azure, or GCP and integrating AI solutions into enterprise environments.
  • Strong analytical, problem-solving, communication, and collaborator management skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries is preferred.
  • Demonstrated ability to collaborate effectively across global teams and operate successfully in a dynamic and evolving technology environment.

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 equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field
  • 3-5 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 enterprise data platforms such as Databricks, Snowflake, or similar cloud-based analytics environments
  • Hands-on experience building data pipelines, integrations, and data processing solutions for AI workloads
  • Familiarity with AI evaluation methodologies, testing frameworks, observability practices, and quality measurement
  • Knowledge of data governance concepts, including metadata management, data lineage, data quality, cataloging, and access control
  • Understanding of responsible AI, model governance, privacy regulations, risk management, and compliance requirements
  • Experience with AWS, Azure, or GCP and integrating AI solutions into enterprise environments
  • Strong analytical, problem-solving, communication, and collaborator management skills
  • Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries
  • Ability to collaborate effectively across global teams in a dynamic technology environment

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 — Medical, dental, and vision coverage is positioned as comprehensive, with Regeneron prescription drugs covered at 100% for those enrolled in the medical plan. Mental health support is also emphasized through EAP access and tools like Talkspace and the Journey app.
  • Equity Value & Accessibility — Stock grants are described as available to all employees, strengthening the overall total-rewards package beyond base pay. Long-term incentives and stock-related rewards are repeatedly framed as meaningful components of compensation.
  • Parental & Family Support — Paid parental leave is paired with fertility/adoption assistance and childcare-related support such as discounts and nanny services. Additional family-oriented resources extend to elder care, pet care, and education support like college coaching and tutoring.

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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