AI/ML Architect

Job Description

Design and architect enterprisegrade Generative AI and Agentic AI solutions aligned with business objectives

Lead end to end solution architecture using Azure OpenAI Azure AI Foundry Copilot Studio and AI Services

Define scalable architectures leveraging LLMs RAG Vector Databases Knowledge Graphs and MultiAgent systems

Collaborate with business stakeholders to translate complex requirements into AIdriven solutions

Architect secure integrations with enterprise platforms such as SAP Salesforce ServiceNow and Microsoft 365

Establish AI governance frameworks covering Responsible AI security privacy compliance and model monitoring

Design and optimize prompt engineering orchestration workflows and agent reasoning strategies

Provide technical leadership for GenAI application development deployment and production support

Define architecture standards reusable accelerators and best practices for enterprise AI adoption

Guide engineering teams on LangChain LangGraph Semantic Kernel AutoGen and AI agent frameworks

Drive performance optimization scalability observability and cost management of AI workloads

Evaluate emerging AI technologies foundation models and industry trends to shape solution roadmaps

Lead technical discussions architecture reviews PoCs and customer workshops

Mentor architects developers and data scientists across AI and cloudnative technologies

Required skills 10 years in software architecture 3 years in GenAI Azure Cloud Python AIML RAG LLMOps Vector Databases Agentic AI and enterprise integration patterns