Role Descriptions: Design| develop| and maintain Python-based GenAI systems and architectureArchitect and design the multi-agentic AI projects and Framework on Lang Graph to enable dynamic| goal-oriented agent orchestration.Define and lead the technical roadmap for the GenAI ecosystem| ensuring scalability| modularity| and performance.Collaborate with the Customer Program Manager to translate business goals into AI-driven capabilities.Lead and mentor the Python GenAI developers| ensuring high-quality design and coding practices.Develop reference architectures| reusable templates| and framework standards for agent design.Stay hands-on in developing core components and integrating APIs and external data sources.Define best practices for prompt engineering| RAG pipelines| and model lifecycle management.Review and optimize cloud deployments for cost| performance| and reliability.Partner with DevOps teams to ensure robust CICD integration and monitoring of GenAI services.Provide technical leadership and architectural oversight during all phases from design through deployment.
Essential Skills: Required Qualifications Strong proficiency in Python with 8 years of hands-on experience.Proven expertise in architecting and delivering GenAI solutions using LLMs and multi-agent systems.Deep hands-on experience in Python and Lang Graph Lang ChainStrong understanding of Agentic AI frameworks| including agent orchestration| goal decomposition| and contextual memory management.Experienced in handling Agent Observability protocols and evaluationsHands-on experience designing and deploying solutions on Azure Cloud (Azure OpenAI| Azure Vault| Azure PAS services| AKS| App Insights| etc.).Up to date on latest Agentic concepts and protocols like MCP and A2A.Strong understanding of system design principles| microservices| API architecture| and secure data flow.Experience in containerization (Docker) and orchestration (Kubernetes) for production-grade AI workloads.Good understanding of CICD pipelines| GitHub Actions| and DevOps workflows.Strong understanding of RAG (Retrieval-Augmented Generation)| vector stores| embeddings| and document parsing pipelines.Strong collaboration and leadership skills with the ability to guide teams technically while staying hands-on.Excellent in communication and ability to handle customer demonstrations and technical walkthroughs.Preferred QualificationsEducational Background Bachelors or masters degree in computer science| Information systems.Prior experience designing Agent Factory Multi-Agent ecosystems for enterprise GenAI.Experienced in implementing Agentic AI patterns on Lang Graph Familiarity with MLOps LLMOps frameworks for model management and observability.Experience integrating structured data sources| unstructured content| and knowledge bases into GenAI pipelines.Exposure to AI governance| model safety| and responsible AI practices.Knowledge of Azure AI Studio| Prompt Flow| and vector search integrations.Experience leading cross-functional AI projects and mentoring developers.
Desirable Skills:
Keyword: ~UHC Set 2 - EP Hiring~
Skills: Digital : Chatbots / Conversational Agents~Generative AI
Experience Required: 6-8 |
