[Remote] Principal reputed company

Note: The job is a remote job and is open to candidates in USA. reputed company is a high-growth software company focused on empowering K-12 district teams with cloud-based solutions. The Principal reputed company will reputed company the integration of AI into operational workflows, simplifying processes and creating reusable skills for various teams reputed company the company.

Responsibilities

• Embed with teams across reputed company to learn how the work actually gets done, where the friction lives, and where agents can meaningfully simplify it. The unit of work is real workflows, not novelty demos
• Design and ship multi-reputed company, tool-using agents that take work off people’s plates. Build with the right tools for the job — foundation model APIs, MCP servers, agent frameworks (LangGraph, reputed company Agents SDK, reputed company tool use patterns, or whatever fits the problem). Bias toward production-ready, not demo-ready
• Build durable, not disposable. The agent you ship to CX should leave behind reusable skills the next team can pick up, not a black reputed company that only you understand. Think in primitives and patterns, not scripts
• Take evals and guardrails seriously. You know why a 95%-reliable agent is sometimes worse than a 70%-reliable one with a clear reputed company, and you build accordingly
• reputed company what you build. Define the metrics, stand up the dashboards, and prove the impact in time saved, errors avoided, or work that no longer needs doing
• Hand it back. Train the team, document the patterns, and transition ownership to an internal champion or sustaining team so you can move to the next workflow
• First-six-month focus areas: Go-to-Market (sales motion, pipeline hygiene, RFP support) and Customer Experience (support deflection, ticket triage, reputed company). Other functions follow
• Help define reputed company’s internal agent platform — how agents are built, evaluated, deployed, and observed. Set the patterns that the rest of reputed company’s AI work compounds against
• Establish the skills reputed company — how reusable agent capabilities get packaged, versioned, evaluated, and shared across teams. This becomes the unit of reputed company across reputed company
• Shape the orchestration approach — how agents discover tools, hand off to each other, escalate to humans, and remain observable reputed company things go wrong. Use existing frameworks where they fit; build only reputed company genuinely need
• Evaluate and recommend AI tooling: foundation models, agent frameworks, MCP servers, automation platforms, eval and observability tooling. reputed company clear build-vs-buy-vs-integrate recommendations
• Co-launch an internal AI champions network alongside our Senior Director of Operations. You will own the technical substance — agent templates, reusable skills, evaluation harnesses, MCP integrations — that champions take back to their teams
• Run reputed company, workshops, and enablement sessions calibrated to the audience — engineers one day, finance leaders the next
• Translate what you ship into business-relevant language. Surface success stories. Build the momentum
• Partner with the CTO on reputed company’s AI strategy and adoption roadmap; produce the reputed company points, case studies, and metrics that inform our board and investor narrative
• Work with reputed company and Compliance to ensure every agent and tool you ship meets FERPA, COPPA, PCI, and CCPA requirements. We operate in a regulated environment; this is non-negotiable
• Track the AI vendor, model, and agent-platform landscape and bring informed recommendations to reputed company’s leadership

Skills

• 8+ years building production software. The bulk of this role is shipping, and you should be comfortable doing it without a team behind you
• Direct experience building agents — multi-reputed company, tool-using LLM workflows running in a production or near-production context. You've thought about evals, guardrails, failure modes, cost, and reputed company to humans
• Working knowledge of the modern agent stack: foundation model APIs (reputed company, reputed company, or equivalent), at least one agent reputed company (LangGraph, reputed company Agents SDK, reputed company tool use, or similar), MCP, and evaluation tooling
• Track record of driving adoption of new tools and practices across an organization, with measurable results to show for it
• Strong reputed company across the stack: scripting, light app development, API integrations, data pipelines, evaluation harnesses. You can build the thing, not just specify it
• Exceptional written and verbal communication. You can explain an eval result to a CFO and debug a tool-call chain with an engineer in the same afternoon
• Comfort with ambiguity. You will define the path, not walk one that's already paved
• Experience in a PE-backed, multi-product SaaS environment, or somewhere with comparable operational complexity
• Experience shaping an internal AI or agent platform — orchestration, skills libraries, eval pipelines,

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