Agentic AI Lead

As an Agentic AI Lead, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand goals, break them into actionable steps, reason, understand customer actions and reactions, take that as feedback to continually improve the system. This role requires a blend of deep LLM knowledge, advanced software engineering, systems architecture and hands-on coding experience. Skills Required: All these skills are required in hands-on experience on projects in the last 3-4 yrs. Python Prompt Engineering Hands-on experience with SOTA LLMs, Langraph/LangChain, Google ADK Hands-on experience architecting, building and scaling complex Agentic and multi-agent solutions, including agent orchestration, inter-agent communication, conflict resolution, failure handling and production-grade Agentic AI engineering practices. Proven experience identifying, evaluating and resolving conflicting information, reasoning or recommendations across agents, tools and data sources. Hands-on proficiency designing, building and consuming MCP servers, including efficient tool/resource design, secure integration and scalable, sustainable implementation patterns. Relevant demonstrable experience building agentic workflows with agents that reason, capture feedback, and self-learn to improve subsequent flows. Agentic RAG/RAG/GraphRAG framework Evaluate and optimize Agent output and performance, including reliability, observability, context management, failure/degradation handling and production readiness. Ability to interact with business teams and convert business needs to AI/ML workflows - Must demonstrate end-to-end business context - not just technical implementation. SQL/BigQuery/GCP, with hands-on experience designing and deploying AI/Agentic solutions on GCP strongly preferred. Preferred skills: Redis, Context Engineering; demonstrable experience with A2A (Agent2Agent) protocol and interoperable agent-to-agent communication patterns is a strong plus. Qualifications Education: B.S. or M.S. in Computer Science, AI, or a related field is preferred. Experience: 10+ years of IT experience, pref. in Data and AI, 4+ years in AI/ML engineering are preferred, with 2+ years specifically focused on agentic AI or GenAI applications. Preferred background in Telecom, with subject matter knowhow of customer touchpoint processes and CX workflows. Responsibilities Collaborate closely with team to rapidly gather requirements from customer stakeholders Translate requirements into concrete solution design, document and implement them. Work closely with stakeholders and team members to rapidly discover various workflows within the customer service functions that create superior customer experience Translate them into Agentic Workflows, based on discussions with the SMEs Validate by collaborating with various stakeholders and client SMEsProject management activities to ensure on time quality deliverables, delivery ownership and highest level of customer satisfaction Bring and develop AI best practices to make the program a success Gather feedback from stakeholders and continuously improve the solution #J-18808-Ljbffr InfoVision Inc.