Gen AI Architect
Total Yrs of Experience - 10 to 15 yrs
All LTIM location
Role Overview
The AI Architect is responsible for designing and implementing advanced AI and Generative AI solutions leveraging Azure hyperscale services . This role combines deep technical expertise with strategic vision to deliver scalable, secure, and high-performance AI architectures for enterprise environments.
Key Responsibilities
- Architect and Design :
- Build end-to-end AI / GenAI architectures using Azure OpenAI , Azure AI Services , AI Foundry , and related offerings.
- Define and implement agent-based patterns leveraging frameworks like LangChain , LangGraph , CrewAI , or Autogen .
- Develop solution blueprints and technical documentation for AI systems.
- Integration and Deployment :
- Integrate AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows.
- Ensure compliance with enterprise requirements for security , data privacy , explainability , and scalability .
- Implement CI / CD pipelines , MLOps , and LLMOps for AI deployments.
- Collaboration and Leadership :
- Work closely with data scientists , software engineers , and business stakeholders to align AI solutions with organizational goals.
- Conduct workshops and enablement programs to drive AI adoption.
- Mentor technical teams on AI architectural best practices.
Required Skills & Qualifications
Education : Bachelors / Master’s in Computer Science, Engineering, or related field.
Experience :
10+ years in software architecture or AI / ML, with at least 2 years in GenAI system design.Proven experience delivering solutions on Azure AI stack.Technical Expertise :
Azure Cloud & AKS architecture (GPU strategy, autoscaling, private VNet, Bastion).Proficiency in Python, REST API development (FastAPI / Django / Flask).Hands-on with LangChain, LangGraph, and prompt engineering.Familiarity with Azure services : Azure OpenAI, App Services, Azure Functions, ACR, Azure Files, Entra ID.Strong understanding of security, compliance, and explain ability in AI systems.Power Platform (Power Apps / Power Automate & Model Context Protocol).Data Layer & Pipelines : Azure SQL, Cosmos DB, PostgreSQL, Redis Cache, Dataverse, and ETL tools (ADF, Databricks).Preferred Certifications
Microsoft Certified : Azure Solutions Architect Expert .