Role: Agentic AI Solution Architect
Duration: 6+ Months
Location: Hybrid (2 Days On-site at local office per week)
Technical Experience Areas
Cloud Native Architecture
Azure Cloud Platform Expertise
Strong proficiency with agent frameworks, and planner/executor patterns.
Solid understanding of LLM architectures, embeddings, vector search, RAG, prompt engineering, and safe-output techniques.
Experience integrating AI systems with REST/GraphQL APIs, event-driven architectures, microservices, and cloud platforms.
Familiarity with Databricks, Unity Catalog, and enterprise data governance best practices.
Hands-on engineering experience with Python, containerization (Docker), and modern CI/CD pipelines.
Deep understanding of the Model Context Protocol (MCP) as the enterprise standard for tool integration and context exchange.
Ability to architect agent workflows using MCP hosts, clients, and servers, including multi-server and hybrid patterns.
Experience consuming existing MCP servers and designing custom MCP servers to expose enterprise tools and business logic.
Understand how a cognigy bot with NiCE can be leveraged as part of this ecosystem.
Understand how to act on the data insights coming out of the NiCE CCaaS platform to stand up agents in a scalable manner.
Infrastructure as Code
Containerization and Orchestration
Data Lakes,Scripting Tools,CI/CD and Version Control
Testing Automation
Agile Development
Data Governance Principles
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