Software Engineer implementing features and ensuring quality in banking platforms. Collaborating in agile environment to improve customer experiences.
About the role
- AI Governance Engineer managing technical governance for generative AI tools at enterprise scale. Collaborating across departments to ensure compliance and innovative usage of AI capabilities.
Responsibilities
- Design, implement, and maintain the technical governance framework for all GenAI/LLM tools and integrations.
- Evaluate, approve, onboard, monitor, and retire third-party and open-source AI tools (LLMs, vector databases, agents, orchestration platforms, etc.).
- Build and operate usage monitoring, cost tracking, compliance dashboards, and automated audit trails.
- Create lightweight, developer-friendly processes for tool requests, risk assessments, exceptions, and approvals.
- Partner with Legal, Security, Compliance, Procurement, and Engineering to translate policies into enforceable technical controls.
- Identify and mitigate AI-specific risks: prompt injection, data leakage, model misuse, training-data exposure, etc.
- Develop and deliver training, playbooks, workshops, and documentation that get used.
- Stay ahead of evolving regulations, new attack vectors, and model capabilities.
- Continuously optimize the balance between innovation velocity, risk, cost, and compliance.
Requirements
- Strong software engineering background with deep understanding of development lifecycles, CI/CD, APIs, integrations, and versioning.
- Hands-on knowledge of modern GenAI/ML stack: LLMs, embeddings, vector stores, RAG, model endpoints, agents, and orchestration tools.
- Solid experience with at least one major cloud provider (Azure or AWS) – especially AI/ML services, networking, IAM, and governance features.
- Proven ability to interpret security, privacy, data-classification, and responsible AI policies and turn them into practical technical controls.
- Strong grasp of AI-specific security risks (prompt injection, jailbreaks, data exfiltration, inversion attacks, etc.) and mitigation patterns.
- Experience implementing identity & access governance (RBAC/ABAC, least privilege, audit logging) for AI systems.
- Demonstrated skill in cross-functional collaboration and communicating complex technical and risk concepts to non-technical stakeholders.
- Comfort in building processes, dashboards, and lightweight automation from scratch.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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