Job title: GenAI Enablement Lead
Work Location: remote
Experience: 5-6 years
Education Qualification: B.A.
Roles and Responsibilities:
- Develop and execute a strategy to drive GenAI enablement across the engineering organization by leading a cross-functional community focused on experimentation, knowledge sharing, and adoption of Generative AI tools and practices.
- Identify and prioritize use cases that drive measurable improvements in productivity, quality, and developer experience.
- Define the roadmap for GenAI tools, integrations, and internal accelerators.
- Evaluate and pilot GenAI tools, models, and APIs (e.g., OpenAI, Anthropic, AWS Bedrock, etc.).
- Build and maintain prototypes, plugins, and integrations with internal platforms (e.g., CI/CD pipelines, IDEs, generation of documentation and tests, code reviews, bug fixing).
- Design and run training, workshops, and documentation to empower engineers to use GenAI responsibly and effectively.
- Champion safe and compliant GenAI usage, including prompt engineering patterns, model selection, and usage guidelines.
- Collect feedback and metrics to iterate on tools and practices.
- Define and promote GenAI usage policies in collaboration with security, legal, and compliance teams.
- Establish governance models for data privacy, model usage, and ethical AI practices.
- Stay abreast of GenAI trends and assess emerging technologies for potential adoption. Represent the company in external forums, communities, or conferences on AI enablement topics.
Required Skills & Desired Skills:
- Excellent communication skills and the ability to translate complex AI concepts to engineering and business stakeholders.
- Demonstrated ability to drive cross-functional initiatives and influence without direct authority.
- 5+ years of experience in software engineering, developer tooling, or platform teams.
- Hands-on experience with LLMs or GenAI tools in a production or enterprise setting.
- Strong technical foundation in APIs, cloud platforms (e.g., AWS), and programming languages (Python, Go, etc.).
- Experience integrating with GenAI platforms (e.g., OpenAI, CoPilot). Desirable
Nice to have:
- Familiarity with Kubernetes, CI/CD, developer portals, and internal platform tools.
- Knowledge of security and compliance considerations around AI (e.g., data leakage, model risk).
- Experience with prompt engineering, vector databases, and RAG (retrieval-augmented generation) systems.
- Prior experience in a developer enablement, DevEx, or productivity engineering role.
| Job Level | 5 – 8 Years |

