AI Engineering & Delivery

About Digit Insurance

Go Digit General Insurance Limited is on a mission to make insurance simple. Backed by Fairfax

Financial Holdings, Digit has emerged as one of India's fastest-growing and most innovative

insurance companies. Headquartered in Bengaluru, Digit has received multiple industry

recognitions for digital innovation and customer-centric insurance solutions. Digit has consistently

been certified as a Great Place to Work and is known for its technology-driven approach to

insurance. Former Indian Cricket Team Captain Virat Kohli serves as the brand ambassador for

Digit. Having achieved unicorn status within a remarkably short period, Digit continues to redefine

insurance through technology, AI, and innovation. The team is a blend of industry veterans, product

innovators, and technology specialists working together to build the future of insurance.

Location: Bengaluru

Work Mode: On-site, five days a week

About the Role

We are looking for a technically strong AI leader to own the architecture and delivery of enterprise

AI solutions. The role will lead multiple engineering teams, establish technology standards, drive

production delivery, and ensure measurable business impact.

Key Responsibilities

1 Define the enterprise AI technology roadmap and solution architecture.

2 Lead multiple AI engineering teams through technical leads.

3 Architect scalable solutions using Generative AI, LLMs, RAG, agentic AI, MCP, machine

learning, and multimodal AI.

4 Develop reusable AI platforms, services, frameworks, and engineering standards.

5 Own delivery planning, execution, dependencies, risks, and release readiness.

6 Conduct architecture and critical code reviews and guide the resolution of complex technical

issues.

7 Establish standards for AI evaluation, security, governance, testing, observability, reliability,

and cost optimisation.

8 Partner with business and technology leaders to prioritise initiatives and define measurable

outcomes.

9 Mentor technical leaders through coaching, technical guidance, knowledge sharing, and

engineering best practices.

Required Experience

1 7+ years of experience in software engineering, AI/ML, architecture, or technology delivery.

2 Proven experience delivering production-grade AI or Generative AI solutions.

3 Experience leading multiple engineering teams or technical leads.

4 Strong knowledge of LLMs, RAG, agentic systems, MCP, machine learning, and AI evaluation.

5 Strong experience with Python, APIs, microservices, distributed systems, and SQL.6 Experience with cloud AI services, Docker, Kubernetes, CI/CD, MLOps/LLMOps, and

observability.

7 Strong stakeholder management, technical decision-making, and delivery ownership.

Preferred Experience

Experience in insurance, financial services, or another regulated industry, with exposure to

enterprise AI strategy, scalable AI platforms, applied machine learning, Generative AI, intelligent

automation, responsible AI, and organisation-wide AI adoption.