Senior Principal - Automation / Prompt / Agent Engineer

Overview

The Automation Enablement Lead enables DPTF platform teams to build AI capability themselves by owning the golden pattern library and paved paths, driving adoption of AI-First delivery practice within DPTF's governed delivery lifecycle, running the community of practice, and driving AI skills uplift across platform engineering.

What you'll do

• Own the golden pattern library and paved paths for AI delivery across DPTF, publishing the architectural standards set by the Director, Automation Platform Architect in a form platform teams can adopt.
• Drive adoption of AI-First delivery practice across platform teams within DPTF's governed delivery lifecycle, so that eval gates, cost governance and provenance controls are inherited by any team using the paved paths.
• Drive AI skills uplift across platform engineering, building the capability that removes the need for dedicated AI headcount in every team.
• Run the AI community of practice and the associated governance forums, spreading what works between platform teams and surfacing what is not working.
• Publish and maintain the pattern library, reference implementations and guidance so that teams can adopt without asking.
• Work with talent and hiring leads so that AI fluency becomes an expectation of new platform engineering hires, not a specialism.
• Coach platform teams through their first AI deliveries, withdrawing support deliberately as their capability matures.
• Feed practical experience from platform teams back into the patterns, so standards reflect what works in delivery, not what looks right centrally.
• Translate Enterprise AI standards and Responsible AI policy into patterns and pipeline controls that platform teams can actually apply.
• Measure adoption of patterns, pipeline usage and AI capability across platform teams, and target enablement where uptake is weakest.
• Identify where a capability should become a shared primitive rather than a repeated pattern, and raise it with the Director, Automation Engineering / Product Manager.

What you'll need

• Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Overall 15 years of experience, including 8-10 years in engineering, including hands-on software development, AI or machine learning delivery experience.
• Experience setting patterns, standards or reference implementations adopted by teams outside direct control.
• Experience embedding automated quality and evaluation gates into a delivery toolchain that operates within a governed lifecycle.
• Experience building capability in other engineers through coaching, community practice or structured enablement.
• Experience translating enterprise standards and policy into something delivery teams can practically apply.
• Experience measuring adoption and acting on where uptake is weak.
• Experience working across multiple technology domains rather than within a single platform.
• Familiarity with Responsible AI requirements and how they are implemented in a delivery pipeline.

Nice to have

• Professional certifications (e.g., cloud or machine learning platform certifications, coaching or technical enablement accreditation).
• Hands-on experience building AI-first automation (agents, workflows, integrations) rather than just scoping it.
• Comfortable technical fluency in modern AI/ML, enough to design and build realistic automations, not just specify them.
• Working knowledge of at least one pharma value chain area (R&D, manufacturing, or commercial), including how work actually gets done on the ground.
• Background in process documentation (RACI/SOP) or workflow redesign, translating manual processes into automated ones.

Details

• Location: Bengaluru, Luxor North Tower.