Top Artificial Intelligence Jobs

Develop, validate, and deploy ML/AI-driven cheminformatics models and workflows to predict molecular properties and inform hit-to-lead and lead optimization. Collaborate with medicinal chemists, biologists, and data scientists to integrate computational solutions, pilot new methods, and deliver actionable compound prioritization and ADME predictions with measurable impact.

Lead design and prototyping of AI-enabled solutions for Oncology R&D. Develop data pipelines, feature engineering, analytics, and ML models on healthcare data. Partner with scientific and product teams to deliver usable tools, emphasize rapid iteration and production-readiness, and contribute to engineering standards and documentation.

Develop, deploy, and maintain ML models and cheminformatics workflows to predict molecular and ADME properties. Process and analyze chemical/biological datasets using cheminformatics toolkits, build SAR and QSAR models, optimize data pipelines, and collaborate with cross-functional teams to integrate AI-driven approaches into drug discovery. Ensure data integrity, reproducibility, and model monitoring.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.

Provides senior technical leadership for enterprise voice, unified communications, and collaboration platforms. Designs and supports Cisco UC, Webex, Ribbon SBC, SIP, carrier, PSTN, E911, and endpoint solutions. Performs interoperability testing, packet and protocol analysis, troubleshooting, service assurance, compliance management, and telecom inventory administration. Drives automation for provisioning, reporting, endpoint management, and operational workflows while partnering with security, compliance, risk, and legal teams.

As a DevOps Engineer, oversee infrastructure for AI systems, manage Kubernetes clusters, GitOps pipelines, deployment strategies, security posture, and platform reliability. Collaborate with feature teams to enhance developer experience and manage infrastructure costs.

Provides technical leadership for enterprise voice, unified communications, collaboration, and cloud communications platforms. Designs and supports Cisco UC, Webex, Ribbon SBC, SIP, carrier, PSTN, E911, and endpoint solutions. Performs interoperability testing, packet and protocol analysis, troubleshooting, compliance management, telecom inventory administration, and automation. Partners with security, compliance, risk, and legal teams to maintain regulatory and policy alignment.

Designs, deploys, administers, and modernizes enterprise voice, unified communications, and collaboration platforms. Supports Cisco UC, Ribbon SBCs, Webex, carrier connectivity, SIP routing, E911 compliance, telecom inventory, and voice resiliency. Performs interoperability testing, packet and protocol analysis, troubleshooting, endpoint support, and automation. Partners with security, compliance, risk, and legal teams to maintain regulatory and policy compliance across telecommunications services.

Designs, develops, tests, deploys, documents, maintains, and debugs software solutions using existing and emerging technology platforms. The role addresses complex business needs, contributes to application architecture and delivery, performs technical troubleshooting, and supports release management and software integration within PNC’s Technology organization.

Lead end-to-end AI transformation projects for Payments, managing roadmaps, governance, cross-functional delivery, stakeholder engagement, risk mitigation, metrics, and product/technology coordination to implement data-driven solutions.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Develop and deploy AI and data analytics solutions for vehicle software and electronics quality. Lead data-driven investigations using warranty, diagnostic, service, manufacturing, telematics, and customer data; oversee issue prioritization, root-cause analysis, containment, corrective actions, quality forecasting, dashboards, and executive reporting. Coordinate engineering, manufacturing, service, supplier, and program teams, drive systemic improvements, manage escalations, and mentor talent in AI-enabled quality practices.

Owns AI-powered tools and strategic analytics for Headway’s provider growth and revenue operations. Responsibilities include optimizing provider outreach and conversion, analyzing funnel trends, pipeline health, and cohort performance, supporting weekly business reviews and executive reporting, and enabling sales leaders to self-serve performance insights. The role requires strategic initiative ownership, strong analytical and forecasting skills, and collaboration with revenue leadership in a growth-stage environment.

Own the end-to-end UX definition for a product area, translating user goals into shipped interface decisions. Conduct user research and workflow mapping, define design patterns, contribute to the broader design system, and evaluate emerging AI UX patterns. Partner closely with Product and Engineering, document design intent for people and AI tools, and balance quality, scope, fidelity, and release speed. The role focuses on designing AI-enabled workflows for military planning and operational coordination software.

Leads end-to-end delivery of production AI, generative AI, and agentic AI solutions. Designs architectures using multi-agent orchestration, RAG, hybrid retrieval, and human-in-the-loop workflows; establishes evaluation, testing, observability, safety, and responsible AI practices. Partners with business and technical teams to measure value, mentors engineers and data scientists, defines engineering standards, and influences enterprise AI strategy and roadmaps.

Leads an Agile Release Train delivering an agentic AI web application across product, engineering, AI/ML, architecture, security, QA, DevOps, and operations teams. Facilitates PI Planning, dependency and risk management, release readiness, production deployment, metrics, and continuous improvement. Coordinates AI experimentation and production delivery while addressing model reliability, safety, latency, cost, integrations, observability, and operational risks. Serves as the execution integrator between technical teams, product leadership, and enterprise stakeholders.

Leads end-to-end AI, ML, generative AI, and agentic AI initiatives from opportunity assessment through production deployment and monitoring. Designs multi-agent systems, RAG and GraphRAG solutions, evaluation and safety frameworks, and AI-powered applications using the enterprise platform. Sets technical standards, mentors AI talent, partners with business and technology stakeholders, and measures delivered value. The role also drives responsible AI practices and AI-assisted engineering, with limited travel under 10%.

Leads hands-on development of agentic AI solutions on NEO, including agent execution, sandboxing, integrations, memory, retrieval, evaluations, guardrails, and authorization. Builds full-stack TypeScript and Next.js applications, writes secure production code, improves engineering automation, and supports operational stability. Mentors engineers, promotes responsible AI-assisted development, establishes validation standards, and drives adoption of emerging technologies across Software Engineering.

Lead the development and execution of an AI adoption strategy across the Chief Administrative Office. Translate AI tools such as LLM platforms and Microsoft Copilot into practical learning, communications, workshops, and reusable enablement materials. Partner with stakeholders and AI champions, provide leadership updates, establish adoption metrics and governance practices, and use insights to improve engagement, productivity, and employee experience.

Oversee AI risk assessments and governance for AI/ML solutions in client onboarding. Execute data-driven KYC control testing, identify operational and compliance gaps, document audit-ready results, and track remediation. Develop AI-enabled automation, prompt templates, and BAU monitoring solutions using large datasets and analytical tools. Partner with business, controls, operations, risk, and technology stakeholders to improve testing efficiency and proactively identify issues.

Design and build maintainable, scalable, observable, and well-tested backend and distributed systems. Work in an AI-augmented development workflow, validate AI-generated outputs, contribute to architecture and system evolution, document designs and prompts, and mentor peers while collaborating with Product and UX.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.

Leads ServiceNow’s global data and analytics go-to-market strategy to drive revenue growth and optimize performance. Collaborates with Product, Marketing, Sales, Finance, Strategy, and Industry teams; leads annual GTM planning; develops growth business cases; represents sales and GTM efforts; and serves as the data and analytics expert supporting agentic AI initiatives. Builds executive relationships, influences stakeholders, drives enterprise sales excellence, and enables global matrixed teams to exceed quotas.

Own strategic customer relationships and commercial opportunities for Arm silicon across Physical AI and Edge AI markets. Develop demand, identify lighthouse customers, progress opportunities from evaluation through design wins and deployment, maintain pipeline forecasts, gather market and product insights, and coordinate cross-functional teams. Engage senior business and engineering leaders while communicating Arm’s value in performance, power efficiency, AI capability, security, software ecosystem, and system economics.