Director, Platform Integrations

The Nuclear Company•Washington, DC

6h•$198,000 - $228,000

About The Position

The Nuclear Company is searching for a Director of Platform Integrations to own the full technical breadth of our platform — from the foundations of backend architecture and data pipelines to the frontier of AI agent development and LLM training. This is a senior, high-ownership role for a builder-leader who is equally comfortable whiteboarding a data ontology, reviewing a CI/CD pipeline, and shipping a unified front-end interface. This role reports into the Head of NOS. You will work on backend data and platform architecture, own CI/CD, front-end unified interface, application and data integrations, platform performance, platform maintenance, LLM training, Al agent development, data ontology, MCP design, and computational design. You'll define how our systems talk to each other, how our data is structured and made useful, and how intelligence gets embedded into every layer of our platform. You'll lead a cross-functional team and work closely with product, data science, and domain experts in nuclear engineering to shape a platform that's fast, reliable, and genuinely cutting-edge.

Requirements

10+ years in software engineering or systems architecture, with at least 3 years in a senior technical leadership role
Proven experience building and owning complex, multi-system integration platforms at scale
Strong foundation in API design, event-driven systems, and distributed architecture
Hands-on familiarity with AI/ML pipelines — understanding of how models are deployed, served, and maintained in production environments
Ability to lead cross-functional teams and influence without direct authority

Nice To Haves

Experience working with industrial or operational technology (OT) systems, IoT sensor data, or real-time control systems is a strong plus

Responsibilities

Define and own the integration architecture across internal systems, partner APIs, OT/IT interfaces, and external data sources (grid operators, regulatory bodies, sensor networks)
Build and lead a team of integration engineers, data engineers, and technical program managers
Establish standards for API design, data contracts, event-driven architecture, and interoperability across the platform
Partner closely with Product, Infrastructure, and Data Science to align integrations with product roadmap priorities
Collaborate with the ML and Data Science teams to embed model inference into real-time and batch integration pipelines
Design data flows that feed predictive maintenance, anomaly detection, and operational optimization models with high-quality, low-latency inputs
Champion ML-readiness in integration design — ensuring data schemas, event streams, and partner feeds support model training and continuous learning loops
Evaluate and integrate third-party AI/ML services and tools where they accelerate platform capabilities
Drive adoption of modern integration patterns — event streaming (Kafka, Pub/Sub), API gateways, service meshes, and data mesh principles
Define and enforce SLAs, observability standards, and reliability practices for all integration surfaces
Navigate the unique compliance and security requirements of the nuclear energy domain, including NRC standards and cybersecurity frameworks (NERC CIP, IEC 62443)
Represent the integrations platform in executive and board-level technical reviews