Associate Director, Software Engineering, GenAI & Agentic AI

Job Description The Opportunity Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.

Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.

This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days onsite, 2 days remote). Candidates are expected to reside within commuting distance of the Hyderabad office.

Role Overview The Associate Director – Software Engineering, GenAI & Agentic AI will be a hands-on squad lead on end-to-end lifecycle of enterprise-scale GenAI and Agentic AI products.

This role will drive software engineering, solution architecture, DevOps, and AI innovation. The successful candidate will partner with cross-functional squads to translate complex business opportunities into scalable, secure, and production-grade technology solutions.

The ideal candidate combines deep technical credibility & strong delivery experience. This individual thrives in dynamic environments, is naturally curious, embraces continuous learning, and is passionate about delivering impactful solutions that create meaningful & measurable business outcomes.

What Will You Do In This Role Technical Leadership & Solution Architecture

• Lead the development of enterprise AI products leveraging LLMs, RAG, AI agents, orchestration frameworks, and intelligent automation capabilities.
• Define product requirements that balance user experience, business value, security, scalability, and responsible AI principles.
• Engineer and ship agentic workflows (planning/reasoning, tool/function calling, reflection, memory patterns, guardrails) and harden them to into enterprise-grade services.
• Evaluate architectural options, technical trade-offs, and implementation approaches to achieve business and technology objectives.
• Build and maintain reusable patterns, platform capabilities, and engineering best practices to accelerate delivery and reduce complexity.
• Establish data privacy/security by design access controls, encryption, secure secrets, and collaboration with InfoSec for audits and risk management.
• Communicate design strategy, priorities, value, risks, and outcomes to stakeholders at multiple levels of the organization.
• Mentor engineers on design reviews, coding standards, coaching, hiring input, & building a high-performing delivery culture.

Software Engineering, Delivery & DevOps Excellence

• Lead cross-functional squads through the full software development lifecycle, from requirements through production deployment and continuous enhancement.
• Collaborate with engineering teams across full-stack development, systems integration, testing, and platform delivery.
• Ensure solutions meet enterprise standards for quality, security, performance, reliability, and maintainability.
• Deep practical knowledge of RAG ingestion, chunking, embeddings, vector search, reranking, context assembly & grounding metrics
• Establish LLMOps/MLOps operating practices versioning/registry, automated evaluation, safe rollout/rollback, monitoring, and continuous improvement loops.
• Lead successful transition from innovation and development into scalable, production-supported services.
• Own observability, tracing across prompt à retrieval/tool calls à response, cost/usage dashboards, incident triage, postmortems, and reliability improvements.
• Influence decisions, align priorities, and drive execution across a global matrixed environment.

What Should You Have

• Bachelor’s degree in computer science, Engineering, Information Technology, or a related technical field.
• 12+ years of progressive experience across software engineering, digital product delivery, technology leadership, or related technology domains.
• Strong foundation in full-stack software engineering, with practical experience across modern applications including GenAI and Agentic AI solutions, scalable integrations, cloud-native architectures, data-driven applica…