Job Description
Job Summary
Role Summary
The Generative AI Architect is responsible for defining, governing, and scaling enterprise‑grade GenAI solutions that are secure, compliant, cost‑effective, and aligned to measurable business outcomes.
This role sits at the intersection of AI engineering, enterprise architecture, cloud platforms, security, and transformation strategy, enabling the organization to move from GenAI experimentation to sustained production value.
Role Objective
To design and institutionalize GenAI platforms and solution patterns that:
- Accelerate business productivity and decision‑making
- Ensure compliance with regulatory, privacy, and Responsible AI standards
- Enable reuse, scale, and consistency across the enterprise
- Monetize GenAI capabilities across Run, Change, and Transform initiatives
Key Responsibilities
Key Responsibilities
- Enterprise GenAI Architecture & Design
- Define end‑to‑end GenAI reference architectures, including:
- Establish build vs buy vs reuse architecture decisions
- Translate business use cases into scalable, production‑ready designs
- Platform & Cloud Enablement
- Architect GenAI solutions on enterprise cloud platforms (Azure/AWS/GCP)
- Integrate GenAI with:
- Define standardized GenAI components for reuse across teams
- Responsible AI, Security & Compliance
- Embed Responsible AI principles by design, including:
- Partner with Legal, Risk, Security, and Compliance teams to ensure:
- Define governance frameworks for models, prompts, and data usage
- Scalability, Performance & Cost Governance
- Architect for high availability, resilience, and scale
- Implement:
- Drive AI cost governance (FinOps + MLOps alignment)
- GenAI Engineering Standards & AI Ops
- Define LLMOps / MLOps standards for:
- Establish operational readiness for production GenAI workloads
- Business Alignment & Value Realization
- Work with business and delivery leaders to:
- Ensure GenAI initiatives deliver measurable outcomes, not just PoCs
- Support reuse across portfolios and business units
Key Stakeholders
- CIO / CTO / CDO
- Enterprise & Solution Architects
- Data Science & Engineering teams
- Security, Risk, Legal, Compliance
- Business and Transformation Leaders
Skill Requirements
Required Skills & Experience
Technical & Architectural
- 10–15+ years in enterprise architecture / solution architecture
- Hands‑on experience with:
- Strong cloud architecture experience (Azure preferred in enterprise contexts)
- Working knowledge of MLOps / LLMOps practices
Governance & Enterprise Design
- Experience designing for regulated environments
- Strong understanding of:
Business & Leadership
- Ability to translate business objectives into architecture decisions
- Experience influencing senior stakeholders (Director / VP / CXO)
- Strong communication and decision‑making skills
Other Requirements
Success Metrics
- Adoption rate of GenAI platforms and services
- Reduction in manual effort / cycle time
- Cost efficiency per transaction or inference
- Reuse of GenAI components across teams
- Zero critical security or compliance incidents
Role Positioning
This role is strategic and horizontal, typically part of:
- GenAI Center of Excellence (COE)
- Enterprise Architecture or Digital Platform teams
- Transformation programs focused on modernization and AI‑first delivery
Career Path (Indicative)
- Principal Architect – GenAI
- Enterprise AI Platform Lead
- Head of GenAI / AI COE
- Digital / Technology Transformation Leader
