Key responsibilities

Strategic Responsibilities

- Own the current-state, target-state, transition, and reference architectures for AI, GenAI, RAG, AI agents, and multi-agent ecosystems.

- Define platform strategy, capability roadmaps, architectural principles, approved patterns, and technology selection criteria.

- Shape adoption of LLMs, prompt engineering, MCP, tool calling, function calling, orchestration, model hosting, and grounding patterns.

- Drive reuse, interoperability, scalability, resilience, portability, cost efficiency, and avoidance of fragmented AI solutions.

Delivery Responsibilities

- Translate business capabilities and non-functional requirements into solution architecture, integration designs, and implementation guardrails.

- Architect Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, AKS, Azure API Management, and Microsoft Fabric solutions.

- Review solution designs, proof-of-concepts, vendor proposals, APIs, data flows, deployment models, MLOps, observability, and disaster-recovery approaches.

- Guide engineering teams through design decisions, technical risks, performance constraints, and production readiness.

Governance Responsibilities

- Establish architecture governance for Responsible AI, security, privacy, compliance, model risk, data residency, auditability, and lifecycle controls.

- Maintain architecture decisions, standards, patterns, exception records, risk treatments, and technical debt roadmaps.





- Ensure alignment with enterprise architecture, cybersecurity, data governance, cloud, integration, and operational resilience standards.

Stakeholder Management Responsibilities

- Advise the Head of AI, Enterprise Architecture, Technology Leadership, Business Executives, Risk, Compliance, Information Security, and Governance Forums.

- Lead architecture workshops and vendor evaluations; communicate options, trade-offs, dependencies, cost implications, and recommendations

Required Skills:

- 10–15 years in enterprise, solution, cloud, data, or AI architecture, with leadership of complex transformation programs.

- Deep architecture experience in GenAI, LLMs, prompt engineering, RAG, AI agents, multi-agent systems, MCP, tool calling, and function calling.

- Expertise across Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, AKS, Azure API Management, and Microsoft Fabric.

- Strong track record in enterprise integration, API architecture, cloud-native patterns, MLOps, observability, security, resilience, and architecture governance.

- Banking or financial-services architecture experience is strongly preferred across retail, corporate, trade finance, digital banking, risk, and compliance

Pay: ₹150,000.00 - ₹300,000.00 per month

Perks

- Health insurance

- Provident Fund

Work Location: Hybrid remote in Mumbai, Maharashtra

📌 AI Architect (Mumbai)
🏢 Acyuta Technologies
📍 Mumbai