GenAI Architect

Role:GenAI Architect
Duration: 6+ Months

Requirment:

• Strong Python skills for data processing and feature generation, solid SQL, and the ability to build and manage complex data pipelines across identity, entitlement, and usage data.
• Experience developing AI-enabled, agentic workflows especially multi-step (reason/retrieve/decide/act) and tool-based architectures (API calls, system queries, function chaining) with familiarity in frameworks like LangChain or similar orchestration layers.
• Hands-on expertise in building classification/scoring models and recommendation systems, blending rule-based logic and data-driven approaches with a focus on explainability, reproducibility, and reliability.
• Proven experience integrating AI workflows into enterprise applications, embedding decision logic into workflows, working with APIs, and ensuring that outputs are actionable within our platforms.
• Workflow and decision orientation practical experience enhancing access request flows, certification/review processes, and lifecycle events, all with an eye on improving decision quality, cycle times, and the experience for reviewers and approvers.
• Strong understanding of distributed environments, cloud platforms (Azure/AWS/Google Cloud Platform), and preferably identity/security platforms, with a clear grasp of system integration and data flow.