- Location
- Pune
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Source
- Pinpoint
Description
Director of Engineering/AI
Department: IT
Employment Type: Permanent - Full Time
Location: Pune
Description
Key Responsibilities
- Recruit, develop, and manage individual roles and people leaders across engineering, QA, product ownership, and support.
- Build high performing squads in Pune with strong delivery discipline and clear engineering career pathways
- Ensure all squads deliver consistently against workflows provided by UK based Directors of Product, Delivery, QA, and Support and Onboarding
- Shape and evolve the dual reporting model as the India organisation grows in size and maturity
- Create a high trust, high performance, psychologically safe culture grounded in servant leadership and stoic principles
- Provide technical direction and guidance to global colleagues including teams based in the UK and US
- Work closely with Director of Engineering and Architecture to set consistent engineering standards, coding practices, architectural approaches, and quality expectations across all C&T squads regardless of location
- Ensure engineering excellence across cloud engineering, enterprise SaaS, insurance technology, and other regulated software domains
- Provide hands on technical insight when required, while operating primarily as a senior leader
- Embed modern engineering practices influenced by AI including AI supported development workflows, automation, and engineering efficiency improvements
- Position Pune as the global Centre of Excellence for AI oriented engineering within C&T
- Lead the adoption of AI enhanced tools, processes, and engineering methods across all squads
- Manage AI focused engineers and specialists, ensuring safe, effective, and value driven use of AI within engineering processes
Skills, Knowledge and Expertise
- Deep engineering background with proven experience in hands on software development earlier in career
- Strong awareness of cloud engineering, enterprise SaaS platforms, security standards, scalable architectures, and quality engineering
- Experience working with technology stacks used in large scale B2B software delivery
- Experience managing or guiding architects and senior engineers
- Strong understanding of how AI transforms engineering workflows, team structures, and software lifecycle practices
- Experience managing AI practitioners, AI adoption readiness, or AI augmented engineering environments
- Not required to be an AI engineer, but must be highly AI fluent and deeply aligned with AI driven engineering evolution
- Proven ability to build and scale engineering organisations including leadership of people leaders
- Comfortable managing India based teams while influencing colleagues globally
- Experience working in matrixed environments with dual reporting or distributed authority models
- Ability to coach, mentor, and grow talent at multiple levels of seniority
- Excellent communicator able to work across time zones, cultures, and disciplines
- Confident in presales, client facing conversations, and executive level discussions