AI/ML Enterprise Architect - Immediate Joiners Preferred

Tuteck; Kolkata District, Delhi; Hybrid; INR 4,000,000 - 8,500,000; Full time

Job summary

Tuteck is seeking an experienced AI/ML Enterprise Architect to define and drive scalable architecture and technology strategy across cloud and hybrid environments. The role emphasizes designing GenAI, AI/ML, and agentic AI solutions with strong emphasis on security and governance.

The successful candidate will lead enterprise integrations across APIs, data platforms, and AI services, and will collaborate with engineering, product, security, and business teams to deliver scalable AI platforms.

Qualifications

• 8-15 years of software/enterprise architecture experience.
• Expert in AI/ML and Generative AI architecture.
• Experience with enterprise integration, APIs, microservices.
• Hands-on with A2A (Agent-to-Agent) and MCP (Model Context Protocol).
• Strong knowledge of Microsoft Azure AI services and cloud architecture.
• Experience with AI/agent frameworks, LLM-based applications, RAG, tool calling, and agentic workflows.
• Experience designing chatbots, virtual assistants, or enterprise AI platforms.
• Knowledge of API management, authentication/authorization, identity, security, and enterprise integration patterns.
• Excellent communication and stakeholder-management skills.

Responsibilities

• Define enterprise AI/ML architecture and reference architectures.
• Design scalable GenAI and agentic AI solutions for enterprise use cases.
• Architect enterprise integrations across APIs, data platforms, AI services, and third-party systems.
• Design A2A and MCP-based architectures for AI agents and enterprise AI ecosystems.
• Evaluate and recommend AI models, agent frameworks, cloud services, APIs, vector databases, and integration technologies.
• Leverage Microsoft Azure AI services to build enterprise-grade AI solutions.
• Define architecture patterns for chatbots, virtual assistants, AI agents, and RAG-based apps.
• Establish architectural standards covering security, scalability, performance, reliability, observability, governance, and compliance.
• Collaborate with engineering, product, security, data, and business teams to translate requirements into scalable technical solutions.
• Conduct architecture reviews and provide technical direction to development teams.
• Assess emerging AI technologies and frameworks and recommend their adoption where they provide business value.

Skills

AI/ML architecture

Generative AI

Azure AI services

APIs & microservices

A2A & MCP

Security & governance

Cloud architectures

Enterprise integration

Chatbots & agents

Tools

Azure OpenAI

LangChain

LangGraph

Semantic Kernel

AutoGen

Docker

CI/CD

Job description

AI/ML Enterprise Architect

Experience: 8-15 Years

Location: Delhi/Kolkata

Employment Type: Full-Time

Job Summary

We are looking for an experienced AI/ML Enterprise Architect to define and drive scalable enterprise architecture and technology strategy, with strong expertise in AI/ML, Generative AI, cloud architecture, enterprise integrations, APIs, and security.

The ideal candidate will have a strong track record of designing enterprise-grade AI solutions, integrating AI capabilities with existing business applications, and making strategic architectural decisions across cloud and hybrid environments. The candidate should also have hands-on exposure to A2A (Agent-to-Agent) communication and MCP (Model Context Protocol) and experience building or architecting AI-powered assistants, chatbots, and agentic solutions.

Key Responsibilities

• Define enterprise AI/ML architecture, technology strategy, and reference architectures aligned with business and technology objectives.
• Design scalable, secure, and highly available GenAI, AI/ML, and agentic AI solutions for enterprise use cases.
• Architect enterprise integrations across applications, APIs, data platforms, AI services, and third-party systems.
• Design and implement A2A and MCP-based architectures for AI agents and enterprise AI ecosystems.
• Evaluate and recommend appropriate AI models, agent frameworks, cloud services, APIs, vector databases, and integration technologies.
• Leverage Microsoft Azure AI services and other cloud-native capabilities to build enterprise-grade AI solutions.
• Define architecture patterns for chatbots, virtual assistants, AI agents, RAG-based applications, and enterprise AI platforms.
• Establish architectural standards covering security, scalability, performance, reliability, observability, governance, and compliance.
• Collaborate with engineering, product, security, data, and business teams to translate requirements into scalable technical solutions.
• Conduct architecture reviews and provide technical direction to development and engineering teams.
• Assess emerging AI technologies and frameworks and recommend their adoption where they provide business value.
• Identify technical risks, architecture gaps, and integration challenges and define appropriate mitigation strategies.
• Create and maintain solution architecture documents, technical specifications, architecture diagrams, and technology roadmaps.
• Ensure AI solutions follow enterprise security and responsible AI principles.

Required Skills & Experience

• 8-15 years of overall experience in software architecture, solution architecture, enterprise architecture, or related technology roles.
• Strong experience in AI/ML and Generative AI architecture and enterprise AI solution design.
• Strong understanding of enterprise integration architecture, APIs, microservices, event-driven architecture, and distributed systems.
• Hands-on experience with A2A (Agent-to-Agent) and MCP (Model Context Protocol).
• Strong knowledge of Microsoft Azure AI services, Azure cloud architecture, and cloud-native technologies.
• Experience with AI/agent frameworks, LLM-based applications, RAG, tool calling, and agentic workflows.
• Experience designing or architecting chatbots, virtual assistants, conversational AI, or enterprise AI platforms.
• Strong understanding of API management, authentication/authorization, identity, security, and enterprise integration patterns.
• Experience with cloud platforms, preferably Microsoft Azure.
• Strong understanding of AI/ML lifecycle, model integration, deployment, monitoring, and governance.
• Strong solution design and architectural decision-making capabilities.
• Excellent understanding of scalability, high availability, performance, security, and resilience principles.
• Strong communication and stakeholder-management skills, with the ability to explain complex technical concepts to both technical and business stakeholders.

Good to Have

• Experience with Azure OpenAI / Microsoft Foundry, Azure AI Search, Azure AI services, or equivalent AI platforms.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
• Knowledge of RAG architectures, vector databases, embeddings, prompt engineering, and LLM orchestration.
• Experience with Docker, Kubernetes, CI/CD, and DevSecOps.
• Exposure to AI governance, responsible AI, data privacy, and enterprise security frameworks.
• Experience working with large-scale enterprise transformation or modernization initiatives.