Sr AI Engineer

Regeneron Pharmaceuticals; Hyderabad; Híbrido; INR 3.500.000 - 6.000.000; Jornada completa

Descripción de la vacante

Regeneron Pharmaceuticals in Hyderabad (Hybrid) seeks a senior AI software engineer to design, develop, and deploy AI-powered applications leveraging LLMs, agentic AI frameworks, and RAG on enterprise data platforms.

You will build intelligent workflows, AI agents, and conversational experiences to improve operational efficiency, collaboration with stakeholders, and decision-making across functions. Experience with Python, data pipelines, and governance is expected.

Formación

• BS or MS in Computer Science, AI, Data Science, IT, Engineering, or related field.
• 5+ years building software, data, analytics, or AI-driven apps in enterprise settings.
• Hands-on experience with LLMs, AI agents, RAG, and enterprise integrations.
• Proficiency in Python, SQL, APIs, and modern software practices.
• Experience with Databricks, Snowflake or equivalent cloud analytics environments.
• Knowledge of data governance, model evaluation, testing, and observability.

Responsabilidades

• Design, develop, and deploy AI-powered applications using LLMs, agentic AI frameworks, RAG, and enterprise data platforms.
• Build intelligent workflows, AI agents, and conversational experiences to boost efficiency and decision-making.
• Collaborate with business stakeholders to translate challenges into scalable AI solutions with measurable value.
• Design and implement data pipelines, integrations, and knowledge retrieval frameworks for governed data access.
• Develop evaluation frameworks to assess model performance, grounding, and business impact.
• Partner with engineering, data, and platform teams to ensure scalable, secure, and compliant AI solutions.
• Contribute across the AI solution lifecycle from discovery to continuous improvement.
• Participate in design reviews, governance processes, and ensure responsible AI practices and privacy controls.

Conocimientos

LLMs

AI agents

RAG

Prompt engineering

Enterprise integrations

Python

Educación

Bachelor’s or Master’s degree in CS/AI/DS/IT/Engineering

Herramientas

Databricks

Snowflake

Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

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.

When & Where

Hyderabad (Hybrid)

Discover your role

• Design, develop, and deploy AI-powered applications using Large Language Models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and enterprise data platforms.
• Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and decision‑making across business functions.
• Collaborate with business stakeholders to understand complex challenges and translate requirements into scalable AI solutions that deliver measurable value.
• Design and implement data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data.
• Develop robust 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, secure, reliable, and aligned with enterprise architecture standards.
• Contribute across the full AI solution lifecycle including discovery, planning, architecture, development, testing, deployment, and continuous improvement.
• Participate in technical design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance.
• Support responsible AI practices by implementing data privacy controls, model governance standards, risk mitigation approaches, and regulatory requirements.
• Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging AI technologies to drive innovation across the organization.
• Promote a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams.

This role requires

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
• 5+ years of experience developing software, data, analytics, or AI-driven applications in enterprise environments.
• Strong hands‑on experience building AI applications using Large Language Models (LLMs), AI agents, retrieval-augmented generation (RAG), prompt engineering, and enterprise integrations.
• Proficiency in Python, SQL, APIs, and modern software engineering practices for developing scalable AI solutions.
• Experience working with enterprise data platforms such as Databricks, Snowflake, or equivalent cloud-based analytics environments.
• Hands‑on experience designing and implementing data pipelines, data integrations, and data processing solutions that support AI workloads.
• Knowledge of AI model evaluation techniques, testing frameworks, observability, and quality measurement methodologies.
• Understanding of data governance, metadata management, data lineage, data quality, and access control principles.
• Familiarity with responsible AI practices, model governance, regulatory compliance, privacy standards, and risk management frameworks.
• Experience working with cloud platforms such as AWS, Azure, or GCP and integrating AI solutions into enterprise ecosystems.
• Excellent analytical, problem‑solving, communication, and stakeholder management skills with the ability to explain complex technical concepts to non‑technical audiences.
• Experience within pharmaceutical, biotechnology, healthcare, or other regulated industries is preferred.
• Demonstrated ability to collaborate across global teams and effectively operate in a fast‑paced, evolving technology environment.

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/

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.