Job Title: Senior AI Architect – Generative AI & Intelligent Automation

Job Summary

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.

Key Responsibilities

• 
  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.

Required Skills

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

Preferred Qualifications

• 
  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.

What You'll Drive

• 
  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.

Key Competencies

• 
  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