• Partner with engineering leadership to define AI-enablement priorities. • Work with the team building Aperture by Tailscale. • Build, maintain, and iterate on internal tools and workflows. • Evaluate new AI models and make recommendations. • Collaborate with teams to find opportunities to apply AI. • Develop infrastructure and practices for safe use of AI-generated code. • Advocate for effective AI practices through documentation and coaching. • Track adoption and measure the impact of AI tooling. • Expect varied tasks including building, teaching, and prioritization.

• Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions. • Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. • Develop and deploy agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index. • Build custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. • Develop and deploy classic machine learning models for forecasting, churn prediction, and fraud detection. • Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives. • Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives. • Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.

• Develop go-to-market and co-selling strategies with AI Native partners that outline activities and expectations to drive NVIDIA’s full stack offerings. • Act as an extension of the AI Native’s sales team to identify key accounts with NVIDIA for joint selling engagement so we can collectively drive a repeatable model. • Works cross functionally with key NVIDIA Industry sales teams and NVIDIA partner ecosystem to handle pipeline and promote/educate on influence revenue generated from joint customer wins. • Collaborates with our Global Account Managers and Product organization to help set the GTM priorities with our AI Native ISVs, so we have mutual success in the development of our joint solution offerings in the market. • Secure sponsorship from target ISVs to implement a sales GTM partnership plan of record. • Define business goals, track and report progress and work on joint GTM plans. • Devises sales enablement plans and to help the account executives, overlay solution specialists and Solution architects improve their abilities on NVIDIA GPU accelerated computing and AI software. • Acts as the global liaison between regional ISV teams and the product groups at NVIDIA and the partner.

Role Description As an Agentic AI Software Engineer you will: - Design, build, and ship agentic AI features end to end, from detection and decision logic through safe action execution, in a cross-functional agile environment. - Ground agent behavior in deterministic rules engines and governed data so every agent explains its reasoning and never acts outside permitted boundaries. - Build and operate the LLM layer, including prompt architecture, structured outputs, confidence scoring, timeouts, and rules-only fallback paths. - Implement safe patterns for agent actions, including idempotent operations, undo windows, retries with backoff, and immutable audit logging. - Develop statistical detection and baseline logic that turns workforce data into ranked, explainable findings with business impact attached. - Manage inference cost, latency, and model selection from development through production. - Partner with QA on evaluation suites, shadow-mode rollouts, and the trust metrics that gate every agent capability, and mentor junior engineers along the way. - Operate independently, setting priorities and goals while continuing to learn and grow technically. Qualifications - 6+ years of professional software development experience, including shipping LLM-backed or agentic features to production. - Deep production experience with C#/.NET, SQL Server, and API design in systems where correctness has financial consequences, such as payroll, billing, or banking. - Experience integrating LLM APIs into enterprise applications, with structured outputs, retrieval grounding, and evaluation-driven iteration. - Working fluency with statistical techniques on time-series data, such as rolling baselines, outlier detection, and threshold tuning. - The ability to understand requirements and solve technical issues without supervision, serving as a technical lead. Requirements - Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor. - Production experience with LLM APIs, MCP servers, or internal AI tooling. - An understanding of human-in-the-loop agent design and write-capable AI. - A clear understanding of LLM failure modes, including hallucination, prompt injection, and cost overrun, plus the limits and risks of AI-generated code. - Preferred: experience with multi-agent orchestration, evaluation harness design, or statistical anomaly detection. Benefits - Competitive salary - 20 Days of PTO (Paid Time Off) and 13 days of companywide holidays - 8 hours to volunteer and impact the community - Comprehensive benefits (Health/Dental/Vision/401K) - Employee Choice Pre-Tax Benefit