Enterprise AI Architect
HybridBengaluru, Karnataka, India
Job Summary
Translate approved AI strategy decisions into durable written artifacts, including Architecture Decision Records, capability frameworks, and platform narratives for internal and external audiences. Develop and maintain the AI architecture repository to ensure rigorous capture of decisions, rationale, and dependencies. Support senior leadership in producing content for stakeholder presentations, leadership briefings, and client-facing collateral by converting complex technical concepts into crisp, decision-oriented narratives. Participate in AI strategy review forums to articulate downstream architectural implications and evaluate emerging platforms to produce comparative assessments. Provide architectural guardrails to delivery teams executing AI programs. Hybrid schedule with three days in the office; 15 years of enterprise architecture experience required.
Required Qualifications
- 15 years of overall IT experience
- significant time in enterprise architecture, solution architecture, or technology strategy roles
- Demonstrated experience in AI/ML or GenAI programs
- platform architecture
- LLM integration
- cloud AI services
- Azure OpenAI
- AWS Bedrock
- GCP Vertex
- Proven track record producing executive-grade written artifacts
- ADRs
- capability models
- reference architectures
- strategy documents
- C-suite presentations
- Strong command of enterprise architecture frameworks
- TOGAF
- modern cloud-native architecture patterns
- Exceptional written communication
- Advanced proficiency with PowerPoint
- document design
- ability to independently produce polished, client-ready decks
- Experience working directly with senior executives
- translating their intent into finished artifacts with minimal iteration
Desired Qualifications
- Consulting or advisory background with enterprise clients
- financial services exposure
- Familiarity with AI governance
- responsible AI frameworks
- data residency
- enterprise security requirements
- Entra ID
- in-tenant deployment models
- zero data egress patterns
- Exposure to agentic AI frameworks
- LangGraph
- Google ADK
- Copilot Studio
- TOGAF, Azure Solutions Architect, or comparable certifications
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