Are you ready to architect AI-first systems that accelerate the discovery and
delivery of life-changing medicines?
You will guide the end-to-end technical evolution of a high-impact portfolio of
custom enterprise solutions. This strategic role integrates traditional
engineering rigor with pioneering Agentic AI capabilities to drive innovation.
The Lead is accountable for engineering quality, solution scalability, and
delivery throughput, providing hands-on leadership across full-stack
technologies and cloud-native AI architectures. Serving as the primary architect
of the AI-augmented SDLC, the incumbent establishes formal standards while
shaping the future of "Intelligent Bespoke" applications in close partnership
with product and delivery teams. If you enjoy turning enterprise data into
actionable knowledge and measurable business value, this role is for you
Accountabilities:
* Architectural Leadership & AI Strategy: Define and uphold engineering
patterns for Python, React,
and cloud services. Lead the move from
traditional logic to Agentic workflows, ensuring custom solutions are
"AI-first" by design.
* AI-Augmented SDLC: Drive the integration of AI throughout the software
lifecycle. Implement Model Context Protocol (MCP) to bridge the gap between
local development environments and LLM-based assistants.
* Engineering Quality & Governance: Reinstate structured code reviews with a
focus on AI Governance. Establish quality gates that cover not just security
and performance, but also LLM observability, hallucination mitigation, and
bias detection.
* Agentic Productivity: Mentor and upskill junior engineers on Agentic AI tools
(GitHub Copilot, Cursor, Agent Builder). Shift the team’s focus from manual
boilerplate to high-level system design.
* FinOps for AI: Optimize cloud architectures for cost-efficiency. Lead AI
FinOps by balancing token usage, model selection (S
📌 Software Engineering Lead (Bengaluru)
🏢 AstraZeneca
📍 Bengaluru
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