• The Senior Agentic AI Engineer is a hands-on builder responsible for designing, developing, and deploying AI-powered autonomous workflows and agentic systems. • Design and build LLM-powered agentic workflows using Azure AI Foundry and Anthropic Claude APIs. • Develop multi-step AI agent pipelines using orchestration frameworks integrated with enterprise systems. • Implement Model Context Protocol (MCP) integrations to enable AI agents. • Apply security-by-design principles throughout all AI agent development. • Build, test, and iterate on prompts, system instructions, and agent reasoning chains. • Partner with the Backend Integration Engineer to connect agent workflows to existing enterprise API infrastructure. • Collaborate with the AI Business Analyst to translate business use cases into technical agent requirements. • Participate in code reviews and maintain internal documentation.

• Own a set of interconnected product areas and be accountable for their strategy, roadmap, and outcomes. • Own the Messaging Platform — the application where live agents handle concurrent conversations, access customer context and knowledge, and collaborate with AI. • Define and execute the Virtual Agent and channels roadmap. • Lead the AI Services that power the surface — such as automatic conversation summary, voice-to-text transcription and AI-augmented response generation. • Be the go-to expert on Human + AI collaboration. • Own the external documentation for this surface as part of the product. • Set strategy and own the roadmap — balancing active customer commitments, tech debt, and platform bets. • Work directly with customers and account teams to prioritize and sequence delivery. • Establish metrics and telemetry for each product area so outcomes are measurable and decisions are data-driven.

• Lead the technical engagement with a focused set of ISV partners, working closely with their Software Platform Architects. • Together you'll set the objectives, timelines, and adoption plan for each account. • Stay hands-on: design and ship the code, methods, and reference architectures that bring RAG, inference, and multi-agent, long-horizon workflows to life on our stack (NeMo, Nemotron, NeMo Agent Toolkit, NIM, Dynamo, TensorRT-LLM) and open tools (vLLM, LangChain, vector DBs, MCP, A2A). • Lead the technical strategy and execution: run the cadence, track adoption, and share what you learn with our Product, Engineering, Research, and Solution Architecture teams to land the best solution. • Build breadth across the agentic AI lifecycle, with depth in a few areas that fit you: fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, reasoning, advanced RAG, multi-agent workflows, skills/harness engineering, agent evaluation and observability, and production inference. • Be the voice of the partner inside NVIDIA. Bring their needs and architecture to our Product, Engineering, and Research teams, and help shape the roadmap with what you see across industries. • Grow deep expertise in agentic platform architecture, and keep up with our fast-moving field and stack so you can give partners the best guidance.

• Own the delivery of complex mobile features end to end • Build and ship React Native features for iOS and Android • Contribute to complex mobile applications, including integration points, scalability concerns, and structural improvements • Work on code reviews and actively raise the quality bar across the team • Integrate AI tools (Copilot, ChatGPT) into the engineering workflow • Contribute to Angular front-ends or Node.js/NestJS/Next.js back-ends • Design and build APIs with a solid grasp of REST conventions • Break down complex technical problems and make recommendations • Mentor other developers and contribute to continuous improvement in culture