Senior AI Architect

We are looking for a Senior AI Architect to lead the design, architecture, and implementation of enterprise-grade AI automation solutions using Generative AI, Large Language Models (LLMs), and Agentic AI . The ideal candidate will work closely with business stakeholders and clients to understand business challenges, define AI strategies, design scalable solution architectures, and deliver production-ready AI systems.

This role requires deep expertise in the AI Development Lifecycle (AI-DLC) , AI orchestration frameworks, Retrieval-Augmented Generation (RAG), enterprise integrations, and cloud AI platforms. The successful candidate will serve as a trusted technical advisor from solution discovery through implementation and production deployment.

• Architect and deliver end-to-end AI automation solutions for enterprise business processes.

• Design and implement Agentic AI and multi-agent systems capable of planning, reasoning, task execution, and collaboration.

• Lead the complete AI Development Lifecycle (AI-DLC) , including solution design, data preparation, model evaluation, deployment, monitoring, governance, and continuous optimization.

• Design and develop AI assistants and autonomous agents integrated with enterprise applications, APIs, databases, and business workflows.

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, and enterprise knowledge repositories.

• Design AI-driven workflow orchestration for business functions such as Customer Support, IT Operations, HR, Finance, Sales, Procurement, and Business Process Automation.

• Define secure AI architectures with governance, guardrails, auditability, compliance, and Human-in-the-Loop (HITL) workflows.

• Evaluate and recommend appropriate foundation models (OpenAI, Anthropic Claude, Gemini, Llama, Mistral, etc.) based on technical and business requirements.

• Collaborate with business and technology stakeholders to identify automation opportunities and translate them into scalable AI solutions.

• Drive reusable AI frameworks, architecture standards, and best practices across enterprise automation initiatives.

• Provide technical leadership through client workshops, architecture reviews, executive presentations, and solution design sessions.

• Mentor engineering teams and guide AI solution implementation from concept to production.

AI & Generative AI

• Strong expertise in Large Language Models (LLMs) and Generative AI .

• Deep understanding of the AI Development Lifecycle (AI-DLC) .

• Experience designing Agentic AI and Multi-Agent Architectures .

• Expertise in Retrieval-Augmented Generation (RAG) .

• Strong knowledge of Prompt Engineering and Context Engineering.

• AI Planning, Reasoning, Memory Management, and State Management.

• Human-in-the-Loop (HITL) workflows.

• AI Governance, Responsible AI, and AI Security.

AI Frameworks

Hands-on experience with one or more of:

• LangChain

• LangGraph

• LlamaIndex

• Semantic Kernel

• CrewAI

• AutoGen

• AI Agent Orchestration Frameworks

Automation & Integration

• Microsoft Power Automate / RPA

• Microsoft Copilot Studio (Preferred)

• Azure AI Foundry

• AI-native workflow orchestration platforms

• API-first integration architectures

• REST APIs

• Webhooks

• MCP

• Enterprise system integration

Cloud & AI Platforms

Experience with one or more:

• Azure OpenAI

• Azure AI Foundry

• AWS Bedrock

• Google Vertex AI

• Azure Functions

• Azure Logic Apps

• Equivalent serverless cloud services

Programming

• Python and/or .NET

• SQL

• Git

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related discipline.

• 8+ years of experience in Software Engineering, Solution Architecture, or Enterprise Architecture.

• 3+ years of hands-on experience designing and deploying production-grade Generative AI and LLM solutions.

• Experience implementing enterprise automation solutions using AI and RPA technologies.

• Strong client-facing consulting experience, including workshops, solution architecture, and executive presentations.

• Experience deploying AI applications with monitoring, observability, governance, and security controls.

• Relevant Cloud, AI, or Solution Architecture certifications are preferred.

• Enterprise AI automation strategy and architecture.

• Production-ready autonomous AI agents for enterprise workflows.

• Intelligent workflow automation to improve operational efficiency.

• Reusable AI platforms, services, and architectural standards.

• Secure, scalable, governed, and measurable AI solutions delivering tangible business value.

• AI Solution Architecture

• Enterprise Automation

• Generative AI & LLMs

• Agentic AI & Multi-Agent Systems

• Retrieval-Augmented Generation (RAG)

• AI Governance & Responsible AI

• Cloud AI Platforms

• Workflow Orchestration

• Enterprise Integration

• Client Consulting & Stakeholder Management

• Technical Leadership & Mentorship

• Strategic Problem Solving