Platform Architecture & AI Infrastructure

• Design and own the company's core AI infrastructure: the shared systems, integration patterns, and runtime environments that all AI-powered work is built on top of.
• Make the foundational decisions that others will depend on, including model selection and abstraction, orchestration patterns, data access layers, and deployment standards.
• Design the platform so teams can extend it on their own, without needing your involvement for every new use case.
• Build the operational layer teams need to trust what they've deployed: logging, evals, cost tracking, latency monitoring, and feedback loops.

Agent & Skill Framework

• Design and build the company's agent framework and skill library, the reusable building blocks that teams reach for when automating workflows, connecting systems, or extending AI capabilities into new areas.
• Define the interfaces, contracts, and composition patterns that let squads build new agents and skills confidently without reinventing core infrastructure.
• Ensure the framework supports a range of complexities, from simple single-step automations to multi-agent workflows spanning systems and teams.

Adoption and Partnership

• Help internal teams go from "we have an idea" to "we have a working implementation" by providing the technical scaffolding, guidance, and support.
• Build the internal tooling, documentation, and onboarding paths that make the platform genuinely accessible to team members across the company.
• Create abstractions that lower the floor for AI development without boxing in the complex cases.
• Act as a technical partner to teams adopting the platform, helping them get unblocked, apply patterns correctly, and avoid pitfalls early.
• Partner with Product to surface where AI capabilities can remove friction, accelerate workflows, or unlock things internal teams don't yet know are possible.
• Maintain a feedback loop with internal customers so the platform evolves around how people actually work, not how the roadmap assumed they would.

Standards, Governance & Technical Direction

• Define how the company evaluates, adopts, and evolves AI capabilities responsibly, establishing standards for safety, reliability, and quality that hold across teams.
• Partner with engineering leadership to align AI infrastructure with broader architectural direction and long-term system health.
• Contribute to org-wide technical discussions, bringing a platform and infrastructure lens to decisions that affect how AI work gets done across the company.

What We're Looking For:

• 8+ years of professional software engineering experience, with meaningful depth in platform, infrastructure, or developer tooling.
• Experience building shared systems that other engineers build on, and an intuition for what makes internal platforms succeed or stall.
• Hands-on experience with production AI systems (LLM integrations, tool-using agents, retrieval pipelines, or comparable work), and a track record of enabling other builders to work with those systems confidently.
• Strong instincts for API and abstraction design, knowing how to expose the right surface area and hide the right complexity.
• Familiarity with MCP or similar tool-use and integration patterns.
• A track record of scoping and delivering greenfield technical work, including making early architectural decisions that hold up over time.
• Collaborative and transparent by default, with the ability to lead cross-functional alignment without formal authority.
• Clear-eyed about the gap between AI that works in demos and AI that works in production, and experienced in closing it.
• Actively seeks out product and cross-functional context, energized by the opportunity to push the work forward across teams, not just within engineering.

Nice to Have:

• Experience with multi-agent orchestration frameworks.
• Background in internal developer platforms, enablement engineering, or technical program leadership.
• Experience in defining and rolling out engineering standards across a multi-team organization.

Benefits

Base Salary: The base salary range for this position is $233,750 - $343,750 // Annually.

Our salary is just one component of Panorama’s competitive total rewards strategy that also includes annual bonuses or commission awards, equity awards, as well as other region-specific health and welfare benefits.

US Only: 

• 401K with an employer match
• Health, dental, vision, life insurance, and short-term and long-term disability coverage. 
• Flexible spending account for health care and dependent care
• Wellness Reimbursement
• Work from Home Reimbursement
• Flexible vacation policy
• Parental leave program
• Company Issued Laptop

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