Top AI & Machine Learning Jobs

Lead a team building and deploying foundation models and generative AI solutions. Drive end-to-end delivery from problem definition to production, partner with product and data teams, establish evaluation and governance practices, embed responsible AI, and provide technical leadership and coaching to ensure scalable, reliable, measurable AI use cases.

Lead engineering delivery and technical direction for API and platform teams exposing foundation model capabilities. Own design of secure, scalable backend services, CI/CD and observability, partner with AI teams for model integration, enforce engineering standards, manage multiple workstreams, and build high-performing teams.

Lead the design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs and microservices, implement LLM frameworks (e.g., LangChain), optimize models in production, and collaborate across product, engineering, and data teams while ensuring governance, security, and compliance.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable cloud architectures (AWS, Cloudera, Databricks), APIs and microservices, integrate LLM frameworks (e.g., LangChain), monitor model performance, and ensure security/compliance. Mentor engineers, drive technical design, and collaborate with product and data teams to productionize AI capabilities.

Lead a team developing foundation-model and generative AI capabilities, drive end-to-end delivery of AI use cases from definition to production, partner with stakeholders, ensure data readiness and scalable deployments, embed responsible AI practices, and provide technical coaching and delivery oversight.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Drive API and distributed systems design, security, scalability, observability, CI/CD, and model integration while managing delivery, hiring, and stakeholder alignment.

Lead engineering team building API platforms and backend services to expose foundation model capabilities. Define architecture and security best practices, ensure scalability, reliability, CI/CD, observability, and integrate models into production while managing delivery, hiring, and stakeholder alignment.

Lead engineering strategy and hands-on delivery for agentic AI products and platforms. Build teams and reusable agent frameworks, drive production-grade architectures (context, memory, tool integration, orchestration), ensure security, observability, and governance, partner with product and data teams, and measure adoption and business impact.

Lead engineering strategy and delivery for agentic AI products and platforms. Build and scale teams, drive architecture for production-grade agent systems, establish reusable frameworks, partner cross-functionally, and ensure security, observability, and governed AI adoption.

Lead engineering strategy and hands-on delivery for agentic AI products and reusable agent frameworks. Build and scale teams and cloud-native platforms, drive architecture for production-grade agent systems (memory, orchestration, tool integration, observability, safety), partner cross-functionally, establish engineering frameworks, and measure adoption, quality, and business impact.