AI Architecture – Enterprise GenAI, LLMs, RAG, Agentic AI, Azure/AWS & MLOps

Job Summary Synechron is seeking an AI Architecture with 10+ years of experience to lead the design, implementation and governance of enterprise-scale Artificial Intelligence and Generative AI solutions. The role combines AI architecture, cloud-native platform design, technical leadership, stakeholder management and AI strategy execution. The successful candidate will guide multidisciplinary teams, establish scalable and secure AI platforms, support enterprise-wide Generative AI adoption and ensure that AI initiatives align with business objectives. Software Requirements Required Azure and/or AWS: Extensive experience designing and delivering cloud-based AI platforms using current project-supported services. Azure OpenAI Services: Experience architecting and integrating LLM-based applications. AWS Bedrock: Experience using managed foundation-model services for enterprise AI solutions. LangChain and LangGraph: Experience designing LLM orchestration, RAG pipelines and agentic workflows. Model Context Protocol (MCP): Working knowledge of MCP concepts and their use in AI application integration. Vector Databases: Experience with vector storage, embeddings, indexing and semantic retrieval. Knowledge Graphs and Semantic Search: Experience designing or integrating knowledge-based search solutions. Docker and Kubernetes: Experience containerizing, deploying and managing AI workloads. API Management: Experience designing and governing secure API integrations. Microservices Architecture: Experience designing scalable, modular and integrated enterprise applications. MLOps Tools and Platforms: Experience supporting model deployment, monitoring, observability and AI lifecycle management. AI Governance Tools and Frameworks: Experience implementing responsible AI, guardrails, risk management and governance controls. Architecture and Collaboration Tools: Experience using tools for architecture documentation, technical reviews, delivery governance and stakeholder communication. Preferred Exposure to the Microsoft Copilot ecosystem and enterprise AI solutions. Experience with AI security and compliance frameworks. Experience with enterprise architecture frameworks. Knowledge of Blockchain, Cloud Transformation and Digital Platforms. Experience with tools supporting model evaluation, AI observability and production operations. Experience with reusable AI platform frameworks and enterprise technology standards. Overall Responsibilities AI Strategy and Leadership Define and execute Synechron’s AI and Generative AI roadmap in alignment with business objectives. Lead AI transformation initiatives and support enterprise-wide AI adoption. Partner with business leaders, product owners and executive stakeholders to identify AI opportunities and develop innovation strategies. Build, mentor and support multidisciplinary AI engineering, architecture and data science teams.