Technical Adoption Lead
1 week ago
Technical Adoption Lead – AI-Driven Enablement & Knowledge Transfer
Location: Bangalore, Hybrid
Type: Full-Time
About the Role: We are seeking a Technical Adoption Lead to act as the bridge between the core rewrite team and the client's operating company (OpCo) developers. This role ensures smooth adoption of new systems, providing hands-on training, knowledge transfer, and co-development support.
The ideal candidate combines strong technical skills with the ability to teach, mentor, and guide teams through change. You'll play a critical role in ensuring OpCo developers become self-sufficient with the new AI-augmented systems while shielding the core development team from day-to-day adoption challenges.
This role requires a startup-like mindset—adaptable, AI-native, and proactive—while being highly collaborative across technical and business stakeholders.
Key Responsibilities
- Training & Enablement: Deliver ongoing training to OpCo developers throughout the project lifecycle.
- Knowledge Transfer: Ensure successful handoff of technical practices, tools, and frameworks to internal teams.
- Co-Development: Partner with OpCo developers during adoption phases, guiding them in applying new architectures and AI-driven workflows.
- AI Fluency: Promote effective use of AI-assisted development tools (GitHub Copilot, Claude Code, Cursor AI, ChatGPT) to accelerate learning and delivery.
- Change Leadership: Foster confidence and independence within OpCo teams, ensuring long-term sustainability of the new platform.
- Stakeholder Communication: Act as a liaison between OpCo teams and the core rewrite team, reducing unnecessary interruptions for full-stack developers.
Required Experience
- 5–8 years of professional software development experience.
- Hands-on experience with modern backend (C#, ASP.NET Core) and frontend frameworks (React, TypeScript, or Angular).
- Exposure to system migrations or application rewrites.
- Familiarity with Generative AI tools for coding, documentation, and testing.
- Prior experience in mentorship, technical training, or enablement strongly preferred.
Generative AI Expertise
- Working knowledge of AI-assisted development tools for scaffolding, testing, and documentation.
- Ability to guide others in translating legacy code into modern service-based designs.
- Familiarity with AI use cases such as reverse engineering, workflow summarization, and test automation.
- Comfortable integrating AI-driven features into day-to-day workflows.
What We're Looking For
- Educator's Mindset: Patient, clear, and effective at teaching technical concepts to peers.
- AI-Native Thinking: Uses AI tools daily and encourages others to adopt them as development partners.
- Collaborative & Approachable: Builds trust with OpCo teams, serving as their go-to technical guide.
- Pragmatic & Iterative: Helps teams adapt quickly, delivering value incrementally.
- Bridge Builder: Keeps communication flowing between core developers and OpCo stakeholders without adding friction.
- Autonomous & Reliable: Operates with minimal oversight, ensuring continuity and adoption success.
Why This Role?
As Technical Adoption Lead, you'll play a pivotal role in ensuring the success of our rewrite initiative. By equipping OpCo teams with the knowledge, tools, and confidence to thrive in an AI-augmented development environment, you'll enable long-term sustainability while protecting the velocity of the core rewrite team. This is a unique opportunity to combine technical expertise with leadership and enablement skills, shaping not only the product but also the people who will sustain it.
Job Types: Full-time, Permanent
Pay: ₹5,000, ₹6,000,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Ability to commute/relocate:
- Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required)
Experience:
- Software Engineering/ Development: 10 years (Required)
- .Net stacks: 8 years (Required)
- AI tools as coding partners: 3 years (Required)
Work Location: In person
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