GenAI Enablement Lead

Location: Poland

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, Dev Ex, or productivity engineering role.