Top Senior Level Artificial Intelligence Software Engineer Jobs in Kansas City, MO

The ServiceNow Architect leads the technical architecture and design for the ServiceNow platform at USPTO, ensuring compliance, scalability, and integration while advising stakeholders and participating in design reviews.

The role involves designing and building internal web applications for Nebius, focusing on automating data center operations and developing user interfaces for infrastructure management.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

Lead backend architecture and implementation for a healthcare scheduling platform rebuild: build FastAPI service controllers and Pydantic schemas, port legacy Python services to FastAPI/SQLAlchemy, own PressW-side cloud infrastructure (EKS, networking, IAM, observability), coordinate migrations and translation layers, drive code quality and testing, and mentor mid-level engineers.

Build and maintain full-stack product features alongside cross-functional teams, contribute across architecture tiers, write tested maintainable code, collaborate with product managers, participate in re-architecture and technical design, and use logging and performance techniques to ensure low-latency, reliable user experiences.

Design, build, and operate scalable backend services and APIs for a SaaS platform using Python/FastAPI. Ensure reliability, performance, and observability across distributed systems. Work with PostgreSQL, SQLAlchemy, Temporal, Redis, AWS, and Terraform. Build frontend features with React and TypeScript, integrate third-party APIs, adopt AI-assisted development tools, mentor engineers, and drive architecture and developer experience improvements.

Design, build, and ship customer-facing product features end-to-end with strong product sensibility. Work autonomously without heavy PM overhead, prioritize UX, performance, and polish, and take ownership from idea through production. Implement and maintain full‑stack features using React and TypeScript at a fast-growing, security-focused startup.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Build and own the graph layer and RAG architecture enabling agent reasoning over full patient context. Select graph DBs, design query patterns, and ensure temporal coherence. Implement event-driven Kafka pipelines for auditable, immutable agent workflows and enforce ReBAC permissions. Prioritize safety and scalable AI-assisted workflows, participate in spec and plan reviews, and drive architecture decisions.

Build and maintain pipelines and web scrapers to create a large case-law dataset, implement metadata extraction (citations, overruling/appeals), ensure scraper reliability, optimize core utilities, expose data via APIs/websockets, and benchmark/evaluate tasks.