AI/ML Architect – GenAI & Agentic AI

Experience: 10+ Years

Location: Remote

Engagement: Contract – 6+ Months

Role Type: AI/ML Architect

Job Summary

We are looking for an experienced AI/ML Architect with 10+ years of experience in designing and delivering enterprise-scale AI/ML solutions, with strong expertise in Generative AI, Agentic AI, Azure AI Foundry, Azure OpenAI, and AI Governance.

The ideal candidate will be responsible for defining AI architecture, designing scalable GenAI and AI Agent solutions, integrating Azure AI services, and leading end-to-end implementation across cloud, backend, and frontend technologies.

Key Responsibilities

- Design and architect scalable, secure, and production-ready AI/ML and Generative AI solutions.
- Define enterprise architecture for GenAI, LLM applications, RAG, AI Agents, and multi-agent systems.
- Design and implement solutions using Azure AI Foundry and Azure OpenAI.
- Develop AI Agent workflows including tool calling, orchestration, memory, and integration with enterprise systems.
- Establish and implement AI Governance, responsible AI, security, privacy, compliance, access control, monitoring, and model lifecycle practices.
- Build cloud-native AI applications using Azure Functions, Azure App Services, and Azure Storage.
- Design APIs and backend services using Python and Node.js.
- Collaborate with frontend teams and contribute to AI-powered applications using React.js.
- Design data and analytics solutions and integrate AI insights with Power BI dashboards and reports.
- Implement CI/CD pipelines and infrastructure automation using Azure DevOps.
- Ensure solutions are scalable, highly available, maintainable, and cost optimized.
- Lead technical discussions, architecture reviews, proof-of-concepts, and technology evaluations.
- Work closely with business stakeholders, product teams, data scientists, developers,



and DevOps teams.
- Provide technical leadership and mentor engineering teams on AI/ML and GenAI best practices.

Mandatory Technical Skills

- 10+ years of overall experience in software, AI/ML, data science, or cloud architecture.
- Strong experience as an AI/ML Architect / AI Solution Architect.
- Solid hands-on experience in Generative AI and AI Agents.
- Azure AI Foundry.
- Azure OpenAI and LLM-based application development.
- AI Governance / Responsible AI / AI security.
- Azure Functions, Azure App Services, and Azure Storage.
- Azure DevOps, CI/CD, and deployment automation.
- Strong Python programming skills.
- React.js for frontend/application development.
- Node.js for backend/API development.
- Power BI for analytics, visualization, and AI-driven insights.

Preferred Skills

- RAG and Advanced RAG architectures.
- LLM orchestration and prompt engineering.
- Vector databases and semantic/vector search.
- Azure AI Search.
- LangChain, LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
- REST APIs and microservices.
- Azure Machine Learning.
- MLOps / LLMOps.
- Docker and containerization.
- Azure Key Vault, RBAC, managed identities, and enterprise security.
- Monitoring, observability, logging, and performance optimization.
- Experience integrating AI solutions with enterprise applications and data platforms.

Education

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Key Technologies

AI/ML: AI Architecture, Machine Learning, Generative AI, LLMs, AI Agents, RAG

Azure AI: Azure AI Foundry, Azure OpenAI, Azure AI Services

Azure Cloud: Azure Functions, App Services, Azure Storage, Azure DevOps

Development: Python, Node.js, React.js

Analytics: Power BI

Governance: AI Governance, Responsible AI, Security, Compliance

Engineering: APIs, Microservices, CI/CD, MLOps/LLMOps

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