AI Solutions Architect
Willis Towers Watson (WTW) (company site, opens in a new tab)7+ yrsOn-siteDirect career pageEst. 30–45 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end AI solution architecture including pro-code Azure applications, low-code Power Platform solutions, and advanced agentic AI frameworks.
- Lead modernization and design of AI workloads such as LangChain/LangGraph pipelines and production-grade RAG systems ensuring observability and enterprise governance.
- Collaborate directly with internal clients to translate business requirements into scalable MVPs and oversee technical governance and developer enablement throughout delivery.
Minimum Requirements
- 7+ years in solution or cloud architecture, preferably with Azure services (AKS, Azure OpenAI, Azure AI Foundry, etc.); equivalent GCP or AWS experience also considered.
- Hands-on experience designing and deploying production RAG systems and advanced agentic AI orchestration patterns including LangChain and LangGraph.
- Architecture-level knowledge of Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio) and backend service design in Python/Node.js/.NET.
- Work Experience Required: Minimum 7 years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in blending pro-code and low-code AI architectures with strong focus on enterprise-scale, observable AI solutions aligned to well-architected principles.
- Comfortable operating at the intersection of technical design and client engagement, effectively communicating complex AI concepts to senior non-technical stakeholders.
- Proficient in modern AI integration and orchestration patterns, with demonstrated ability to modernize existing AI workloads and proactively guide development teams via hands-on mentorship and architectural governance.