Top Remote Jobs in San Diego, CA

Own the MLOps foundation for a shared enterprise AI platform. Build production code, infrastructure automation, delivery pipelines, model and prompt lifecycle tooling, serving systems, observability, evaluation, and cost controls. Establish technical guardrails, governance, security, and operational standards while embedding with teams to move AI workloads into reliable production. Provide principal-level technical leadership, mentor engineers, influence architecture, and communicate trade-offs with technical and executive stakeholders.

Build and maintain custom security tools, middleware, automation, APIs, integrations, dashboards, and security workflows. Integrate identity, endpoint, SIEM, SaaS, and other security platforms using APIs, cloud services, containers, and CI/CD. Translate security policies into secure, code-driven solutions while supporting SOAR, continuous monitoring, compliance, and cross-functional collaboration.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, evaluation and observability capabilities, and workflows that turn insights into action. Work hands-on with large and small models, durable orchestration, cloud deployment, inference-cost optimization, and high-volume observability data. Establish reusable engineering patterns, collaborate with product and platform teams, and mentor through strong technical contributions.

Manage the insurance tax team, assist in client relationships and business development, oversee tax compliance, and support tax strategies.

Administers and analyzes sales compensation programs, including commission payout processing, data auditing, dispute resolution, plan modeling, reporting, and dashboard maintenance. Partners with sales, finance, and HR teams to ensure accurate payouts, compliance, documentation, and process improvements. Requires strong Excel modeling skills, CRM and incentive compensation platform experience, analytical ability, communication skills, and independent judgment.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Own the full lifecycle of provider and client user engagement, including onboarding, training coordination, change enablement, proactive outreach, and relationship management. Serve as the primary provider contact, monitor portfolio performance, coordinate implementations, support prior authorization workflows, and recommend improvements that increase adoption, auto-approval rates, clinical quality, and compliance. Collaborate with internal teams, health plans, compliance, and legal while managing high-volume provider onboarding initiatives.