About the Role
We are seeking an experienced Agentic AI Solution Architect for a contracted role lasting over one year. This position requires a highly skilled professional to spearhead the design and implementation of AI solutions tailored to meet enterprise needs. You will be responsible for discovering AI use cases, designing robust architectures, and integrating innovative technologies into existing frameworks.
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Key Responsibilities
- Conduct AI use case discovery workshops
- Design Agentic AI and GenAI solution architectures
- Define RAG architecture and integrate enterprise knowledge
- Select LLMs, vector databases, and AI platforms
- Design multi-agent workflows and orchestration patterns
- Establish AI security, guardrails, and governance controls
- Review solution quality and provide technical leadership
- Monitor governance of the tools implemented
- Collaborate closely with the development team and MOE stakeholders
Required Skills
- 6 to 10+ years in software, data, or AI architecture
- 2+ years of hands-on GenAI experience
- Product Management skillsets
- Proficiency in LLMs and Prompt Engineering
- Experience with RAG architectures
- Familiarity with agent frameworks such as LangGraph, LangChain, Autogen, Semantic Kernel, Microsoft Agent Framework
- Knowledge of Azure AI / OpenAI Services
- API integration and microservices expertise
- Understanding of enterprise architecture principles
- Experience in designing cloud-based solutions
This is a unique opportunity for a driven individual to lead the architectural journey of advanced AI solutions in a dynamic environment.
