Gen AI Architect

1 week ago

Dharwad, India LTIMindtree Full time

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.

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