Top AI & Machine Learning Jobs

Provides technical and analytical leadership for enterprise data science and AI initiatives. Designs and deploys AI/ML solutions, develops predictive and causal models, leads experimentation and validation, analyzes large-scale datasets, and translates findings into executive recommendations. Establishes responsible AI, governance, explainability, monitoring, and reproducibility standards while mentoring data scientists. Applies Generative AI, LLMs, agentic AI, and advanced statistical methods to create scalable decision-intelligence capabilities and measurable business value.

Leads enterprise AI strategy and architecture while developing production-ready machine learning, deep learning, Generative AI, and Agentic AI solutions. Designs LLM, RAG, semantic search, vector retrieval, and orchestration workflows; establishes evaluation, governance, guardrails, and MLOps practices; and transitions validated solutions into production. Mentors applied data scientists, leads small technical teams, builds reusable frameworks and accelerators, and influences enterprise AI standards and adoption.

Lead strategy, architecture, delivery, and adoption of enterprise-scale AI/ML solutions (including Generative AI, LLMs, NLP). Drive Responsible AI, model governance, cloud deployments, mentoring, stakeholder engagement, and reusable assets to realize business value.

Lead the design and delivery of AI platforms, manage technical teams, ensure security, and mentor talent in a cloud environment.

Design, develop, validate, and deploy GenAI and traditional machine learning solutions for healthcare operations. Build scalable Python inference APIs on Kubernetes, implement semantic search, develop LLM and agentic applications, and maintain AI/ML pipelines with monitoring, documentation, and coding standards. Evaluate emerging technologies, promote responsible AI, and use AI-assisted development tools to improve software delivery. The role is fully telecommute within the United States.

Design, build, deploy, and maintain AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership for chatbots, conversational AI, and NLP systems; ensure responsible AI, security, and operational excellence; mentor team members and collaborate with product and engineering to integrate AI in cloud modernization efforts.

Lead end-to-end delivery of AI/ML programs: define roadmaps, manage cross-functional teams, ensure production reliability and compliance, govern responsible AI, control costs, and deliver measurable business outcomes.

Design, develop, and deploy production AI/ML solutions for underwriting and healthcare benefits modernization. Build RAG pipelines, integrate LLMs, support agentic AI using MCP and agent-to-agent protocols, and create secure, high-performance APIs for machine learning capabilities. Collaborate with software, data engineering, and underwriting teams to deliver scalable microservices and pipelines while ensuring model availability, security, monitoring, testing, and performance.

Leads data scientists, analysts, and engineers integrating pricing models into an enterprise pharmacy pricing platform. Provides technical leadership across solution design, platform integration, production delivery, analytics architecture, and software engineering. Manages resources, coaches team members, partners with product, engineering, and business leaders, drives continuous improvement, and communicates analytical results and predictive models. The role requires Python and SQL expertise, people management, enterprise production delivery, financial modeling, and Agile experience.

Architect and deploy AI-powered SaaS and full-stack applications using LLMs, generative AI, agentic workflows, microservices, APIs, and cloud technologies. Integrate React or Next.js frontends with Python/FastAPI or Node.js backends and enterprise databases. Lead AI-assisted development, establish responsible AI governance, ensure security and compliance, mentor developers, review code, and translate business needs into scalable solutions.