Senior Software Engineer- Agentic AI Workflow...
Role details
Job location
Tech stack
Requirements
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Design and build enterprise-grade AI applications and workflow platforms that connect to core systems of record such as SAP, Salesforce, ServiceNow, Confluence, and Asana.
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Develop resilient systems across frontend, backend APIs, distributed services, data pipelines, and orchestration layers for secure enterprise use.
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Build enterprise data integration capabilities across Databricks, Snowflake, and similar EDW/lakehouse platforms to unify and operationalize data for AI applications
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Build agentic workflow automation for high-value enterprise jobs to be done across business systems, including retrieval, approvals, case management, triage, task coordination, and operational workflows.
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Implement integrations across agents, skills, MCP-based integrations, APIs, and agent-to-agent tooling with strong attention to governance, permissions, and auditability.
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Apply orchestration patterns using frameworks such as LangChain, LangGraph, and similar tooling for multi-step and multi-agent workflows.
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Partner with product, infrastructure, IT, enterprise data, and research teams to deliver measurable business outcomes, while contributing reusable components and engineering best practices.
What we need to see:
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BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a related field.
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8 plus years of experience building and operating production software systems, with strong hands-on experience across backend, platform, and data-intensive applications.
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Strong background in enterprise data architecture and engineering, including integration, pipelines, governance, lineage, observability, and modern EDW/lakehouse platforms such as Databricks, Snowflake, or similar systems.
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Hands-on experience building modern software using technologies such as TypeScript/JavaScript, React, Python, Go, Java, APIs, and distributed systems.
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Experience designing or building AI powered workflow automation and agentic systems that operate across enterprise tools with appropriate controls and human oversight where needed.
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Familiarity with multi-agent systems, skills, MCP integrations, agent-to-agent tooling, and orchestration frameworks such as LangChain, LangGraph, or similar.
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Experience using AI-assisted development tools such as Cursor, Claude Code, Codex, or similar coding agents.
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Strong technical judgment, problem-solving, communication, and collaboration skills.
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Contribute to strong engineering practices across testing, CI/CD, observability, rollout safety, incident response, and operational excellence.
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Help operationalize NVIDIA AI technologies such as Nemotron and AI Blueprints in enterprise production environments.
Ways to stand out from the crowd:
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Background with building agentic AI and enterprise data products or platforms on Databricks, Snowflake, or similar EDW/lakehouse stacks.
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Experience creating reusable connectors, canonical models, or integration layers across systems of record.
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Experience delivering AI powered workflow automation that improves employee productivity, enterprise operations, IT workflows, or service operations.
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Background with NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.
Benefits & conditions
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
