Top AI & Machine Learning Jobs

Build and operate cloud infrastructure and IaC for AI/ML agent workloads. Design CI/CD for containerized services, ensure security, observability, cost/performance optimization, incident/runbook governance, and partner with ML teams for safe LLM rollouts.

Lead design and delivery of enterprise GenAI, LLM, RAG, and Agentic AI solutions. Build scalable ML pipelines, deploy models to production, integrate with frontend/backend systems, ensure responsible AI, monitor model performance, and mentor engineers while partnering with product and data teams.

Design, develop, deploy, and maintain scalable ML models and pipelines (prediction, forecasting, recommendations, anomaly detection). Collaborate with data and platform teams for data engineering, MLOps, monitoring, and integration into enterprise applications while following Responsible AI and governance practices.

Lead design and delivery of scalable Amazon Connect voice and chat solutions. Build Lambda-based integrations, integrate Lex bots and external systems, optimize routing/queues, ensure high availability and monitoring, lead production support, RCA, and continuous improvement for contact center platforms.

Lead design, development, deployment, and maintenance of AI/ML solutions (LLMs, generative models, predictive analytics) and conversational agents. Integrate AI features with web/APIs and cloud infrastructure, ensure responsible AI, security, and operational excellence, mentor team members, and partner with product and architecture to deliver scalable healthcare solutions.

Lead architecture and technical strategy for an agentic AI claims automation platform. Define end-to-end architecture, enable multi-agent workflows, integrate models and MLOps, ensure governance, resilience, observability, and cost efficiency, and mentor architects while aligning with enterprise AI standards.

Lead design, development, deployment, and maintenance of responsible AI/ML solutions (including LLMs, generative models, chatbots, and agent orchestration) for provider-facing products. Provide technical leadership, mentor engineers, align solutions with enterprise AI strategy and compliance, integrate AI into cloud architectures, and ensure production reliability and operational excellence.

Design, build, and deploy end-to-end scalable AI/ML solutions (classical ML, NLP, generative AI, RAG). Implement MLOps/CI-CD, productionize models, monitor performance, mentor engineers, and align solutions with business objectives while applying Responsible AI practices.

Lead design, build, and operationalize production-grade AI/ML systems end-to-end: data, modeling, MLOps, deployment, monitoring, and responsible AI. Mentor engineers, partner with product and clinical teams, and drive observability, security, and measurable clinical/operational outcomes.

Design, build, and maintain scalable full-stack applications using Java, TypeScript/React, and Python. Develop backend services, RESTful APIs, microservices, and AI integrations. Implement agentic AI capabilities, LLMs, RAG, embeddings, and vector search. Collaborate with product, data science, UX, QA, security, and DevOps; participate in code reviews, testing, CI/CD, and apply secure engineering and responsible AI principles.