orchestration-frameworks jobs in San Diego

Distinguished Engineer leading AI advanced forward engineering at EY, operating as a player-coach who designs and implements complex AI enterprise systems while guiding delivery teams. Owns cross-functional product signals from field deployments, translating client patterns and observations into evidence-based platform recommendations and technical business cases.…See more Balances immediate delivery needs with long-term platform evolution across regulated industries, collaborating with product, architecture, and governance teams to shape enterprise AI capabilities. Requires 10+ years delivering complex AI systems in regulated environments with deep expertise in distributed systems, cloud platforms, agentic systems, LLM-backed services, and production AI/ML lifecycle management.

Advanced Forward Engineering Implementation Engineer responsible for owning end-to-end delivery of AI-enabled solutions in enterprise and regulated environments. You will embed with client teams to frame problems, implement production-quality code using LangGraph and Python, manage agentic systems and orchestration logic, and balance functionality, safety, cost, and timeline under compliance constraints.…See more The role requires 5+ years delivering complex software systems, hands-on experience with modern AI stacks (LLMs, agentic workflows, orchestration frameworks), and proven track record in customer-facing consulting engineering roles.

Principal-level Business Intelligence Architect responsible for designing and leading enterprise data architecture, ETL pipelines, and reporting infrastructure for a healthcare organization. The role requires 8+ years of BI/data management experience with at least 4 years leading individual contributors and managers, deep expertise in SQL, relational and NoSQL databases, and cloud/streaming data architectures.…See more You will mentor technical teams, communicate complex data solutions to executive stakeholders, ensure HIPAA compliance, and drive innovation in data strategy across a matrix organization.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.

The Senior AI Data Engineer will architect and build Cortica's data ecosystem, owning end-to-end projects from requirements through production deployment. Responsibilities include designing scalable data pipelines, developing data models for clinical and financial reporting, and building internal tools and dashboards.…See more The role requires 5+ years of production data pipeline experience, 2+ years with AI-first development workflows, advanced Python and SQL proficiency, 4+ years with AWS/Azure big data services, and 2+ years with orchestration frameworks.