We’re hiring an AI Solutions Architect to design, lead and productionize complex business software and durable agentic systems built in Python. You will architect LLM-driven multi-agent workflows (durable orchestration using Temporal), productionize models on Azure AI / Azure OpenAI, and own LLMOps, RAG, safety, observability and governance for business-critical applications.

• Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen, SemanticKernel, and LangGraph.
• Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions).
• Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon.
• Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing.
• Design Retrieval-Augmented Generation (RAG) pipelines, embedding stores and vector DB integrations (Elasticsearch).
• Implement safe tool/function-calling patterns and secure adapters to external systems (APIs, DBs, messaging).
• Ensure model & agent safety, hallucination mitigation, bias controls, data governance and compliance.
• Mentor teams; conduct architecture reviews, design docs and runbooks for production readiness.

• Expert Python (production systems) and strong software architecture (DDD, microservices, event-driven, transactional patterns).
• Hands-on LLM/agent experience: Autogen, LangGraph, or equivalent agent frameworks.
• Proven experience building durable workflows with Temporal.
• Experience deploying/operating LLMs on Azure AI / Azure OpenAI.
• RAG, embeddings and vector DB experience.
• Familiarity with function-calling / tool integration patterns and secure API adapters.
• Strong leadership, communication and system-design skills.

Preferred Qualifications:

• Advanced degree in CS/AI/ML or related.
• Experience in NLP, RL, or production model optimization (quantization, distillation, batching).
• Experience with enterprise security, privacy and compliance for AI.