Top AI & Machine Learning Jobs

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI patterns to improve engineering productivity across the product lifecycle, drive CI/CD and automation, partner with product and data science, evaluate emerging tools, and take AI-enabled solutions from prototype to secure, reliable production.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD automation, and cloud-native services. Partner with product and data teams to take prototypes to reliable, secure, scalable production systems.

Design, build, and productionize AI-enabled, agentic applications and platform capabilities. Improve engineering productivity via AI-driven workflows, CI/CD automation, and developer tooling. Collaborate with product, data science, and engineering teams to deliver secure, reliable, scalable solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the SDLC. Partner with product, data science, and engineering to turn prototypes into secure, reliable, maintainable production solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted tooling and automation, drive AI-enabled solutions from prototype to production, and collaborate with product, data science, and engineering teams to deliver secure, reliable, and maintainable systems.

Lead product strategy and execution for agentic AI and LLM-driven operational intelligence. Define use cases, prototype with agent frameworks, partner with AI/ML and engineering on architecture, safety, evaluation, and MLOps, drive 0->1 SaaS feature development, run discovery and A/B tests, and enable customer adoption and go-to-market.

Lead product manager to define strategy and deliver agentic AI, LLM-driven workflows, and autonomous operational agents. Translate customer problems into technical requirements (LLMs, RAG, agent orchestration), prototype with agent frameworks, own roadmap/PRDs, partner with AI/ML and engineering on grounding, safety, evaluation, and MLOps, and drive adoption through go-to-market, onboarding, and measurement.

Lead development of an AI-driven intake and engagement platform that guides idea-to-execution readiness. Design user experiences, agent workflows, decision logic, and integrations; translate business needs into scalable, automated workflows; partner with cross-functional teams to ensure governance, adoption, and continuous improvement.

Lead and grow engineering teams to design, build, and operate scalable data and AI platforms. Own end-to-end delivery, architecture, and operational excellence for data pipelines, AI-enabled services, and platform capabilities while ensuring security, reliability, governance, and cross-functional alignment.

Lead APAC industry-level product management for Advanced Analytics & AI. Own P&L and commercial growth, shape GTM, drive client adoption, partner with product, BD and delivery teams, influence roadmap, and provide industry thought leadership.