Applied GenAI Governance & Forward Deployed Enablement Engineer

Description du poste

This role is an internal Applied GenAI Governance & Forward Deployed Enablement Engineer position focused on building and evolving governance, risk, and analysis tooling for ISG Architecture. It enables architecture teams to operate effectively in a GenAI-driven environment by embedding governance into automation, workflows, and internal tools rather than relying on manual processes. The role involves hands-on development of internal utilities, continuous adaptation of governance mechanisms, and close collaboration with architecture stakeholders to ensure scalable, risk-aware decision-making.

Responsabilités clés

• Develop and maintain internal tools, scripts, and services to support architecture governance and risk management
• Build automation for governance workflows including intake, triage, and readiness assessments
• Integrate data from APIs, repositories, documents, and systems to support governance analysis
• Design and implement guardrails, templates, and automated checks to enforce architecture standards
• Support Architecture Decision Records (ADR) creation, analysis, and comparison
• Enable audit support, evidencing, and exception tracking through tooling
• Collaborate with architecture teams and stakeholders to iterate on governance solutions
• Embed governance into self-service platforms and internal workflows
• Use AI-assisted development tools responsibly for coding, testing, and documentation
• Leverage LLMs for summarization, classification, and analysis of governance data
• Ensure strong engineering practices including testing, logging, and secure data handling
• Continuously improve governance processes based on feedback and evolving GenAI risks

Qualifications requises

• Strong experience in Python or Node.js (TypeScript) development
• Experience building internal tools, APIs, scripts, or automation solutions
• Proficiency in REST APIs, JSON, and asynchronous workflows
• Full-stack understanding with ability to connect backend systems to lightweight UIs or tools
• Experience with system and data integration across structured and unstructured sources
• Strong coding standards including testing, logging, and maintainability
• Familiarity with AI-assisted development tools and practices
• Understanding of architecture principles, standards, and governance processes
• Ability to analyze and manage risk across security, data, and operational domains
• Strong problem-solving and communication skills

Qualifications préférées

• Experience with GenAI/LLM use cases such as classification, summarization, and data extraction
• Familiarity with architecture governance frameworks and review processes (e.g., ADRs, ICAG)
• Knowledge of risk-based governance and adaptive control mechanisms
• Experience designing tools for compliance, audit, or governance enablement
• Exposure to enterprise architecture environments or large-scale systems

Formation

Education: Bachelors Degree