Top AI & Machine Learning Jobs

Lead design and development of distributed systems and agentic/Generative AI solutions; propose architectures, write code in enterprise languages, manage backlogs (Jira), plan releases, coordinate stakeholders, and ensure reliability via change management, patching, and vulnerability remediation.

Lead and manage engineering groups driving enterprise AI and data transformation. Design and implement modern data architectures and AI platforms, build shared service capabilities, mature architecture functions, and develop talent. Oversee multiple development projects and ensure quality implementations in a regulated financial-services environment while fostering inclusive team culture and strong stakeholder partnerships.

Partner with senior data scientists and engineers to explore large datasets, prototype and validate interpretable ML models, support deployment and monitoring, translate business requirements into analytics, build dashboards and visualizations, and adopt best practices for model development, testing, and productionization to support Corporate & Institutional Banking decisions.

Design and build scalable AI platforms and pipelines integrating LLMs and agent frameworks; create reference architectures, validation gates, observability, governance, and reusable components; own prototype-to-production deployments and measure reliability, performance, cost, and business impact.

Design and deliver enterprise-scale Generative AI and Document AI solutions for banking and lending. Own end-to-end GenAI architecture (LLMs, RAG, orchestration), ensure security/compliance and governance, enable cloud-native microservices on Kubernetes/OpenShift, lead delivery from ideation to production, and mentor engineering teams while promoting DevSecOps and operational readiness.

Lead design and delivery of enterprise-scale GenAI and Intelligent Automation solutions (LLMs, RAG, agentic systems). Architect, implement, and support document processing, virtual assistants, and automation workflows. Ensure scalability, security, observability, CI/CD, and Responsible AI compliance while mentoring engineers and aligning solutions with enterprise architecture and stakeholders.

Design, build, and operate intelligent agents and automation using Copilot and GenAI tooling. Develop internal tools, data pipelines, and analytic solutions; apply statistical analysis and machine learning to inform agent logic and recommendations. Integrate and monitor deployed agents, partner with stakeholders to identify automation opportunities, and document/share best practices to scale solutions across teams.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

As a GenAI Data Scientist, you'll assess governance in AI solutions, execute risk evaluations, and provide actionable feedback while enhancing enterprise governance processes.

As a Data Scientist Lead at PNC, you will oversee analytical projects involving structured and unstructured data, manage data processing, and supervise advanced analytics initiatives, providing leadership for data science activities.