Top Artificial Intelligence Jobs

Lead and execute AI integration across finance and legal, owning strategy, sequencing, and delivery. Build and lead embedded AI Fellows, productionalize LLM-driven tools, drive adoption, measure business impact, and coordinate with external partners to consolidate initiatives and ensure enterprise readiness.

Lead enterprise AI integration across Product Development and Product Excellence. Build unified data infrastructure, deploy AI tools, reform program management, scale AI-powered quality and consumer insights, and lead an embedded AI Fellows team to drive adoption, measurable outcomes, and organizational change across hardware and consumer product lifecycles.

Lead enterprise solution architecture for the CMS HIGLAS/HOM program: define multi-year roadmaps, modernize Oracle ERP (EBS, Hyperion) across OCI and hybrid clouds, design integrations and AI/ML analytics pipelines, ensure security/compliance (HIPAA, FedRAMP), oversee data migration and HA/DR, run architecture reviews, and mentor teams through delivery and transformation.

Design technical solutions and system architectures for federal customers; support business development and proposal efforts; perform architectural trade studies, lifecycle cost modeling, and technical writing; lead cloud migration, integration, sustainment, and cybersecurity solution design; communicate solutions to customers and partners and stay current on industry technologies.

Serve as technical lead on pre-sales and channel engagements, developing relationships with partners and customers, running POVs, mapping technical pain to business ROI, contributing to GTM strategy, and closing full-platform deals while enabling regional partners.

Lead organizational data strategy, analytics, BI, and governance. Build dashboards, run advanced and predictive analyses, support program evaluation and compliance, mentor analysts, and partner with leadership to drive data-informed decisions and improve outcomes.

Design, develop, and maintain Python applications and AI agents, integrate AI solutions with APIs and data sources, build Power BI dashboards, prepare and model data, collaborate with stakeholders, document systems, and troubleshoot and improve analytics and automation solutions.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.

Perform manual and automated dynamic security testing and ethical hacking of web and mobile applications to discover OWASP Top 10 vulnerabilities. Use Burp Suite, DAST tools and Agentic AI, validate findings, review results with stakeholders, rate risks, develop testing techniques, assist designing security solutions, and mentor others.

The Senior Data Scientist develops quantitative models for financial crime compliance, performs data analysis, and collaborates across teams to enhance model performance.

Design and deliver AI-enhanced product features, collaborate with engineering and customers, lead cross-functional initiatives and product strategy, gather requirements into roadmaps, and build customer relationships to drive enterprise-scale value.

Serve as the primary technical and functional Exenta ERP analyst supporting production, finance, sales, operations and inventory. Provide user support and training, troubleshoot system and integration issues, manage projects, validate data, execute testing, maintain documentation, and coordinate upgrades with vendors.

Provide in-house legal counsel on technology, digital, and privacy matters; draft and negotiate SaaS, cloud, telecom, and enterprise contracts; manage NDAs and data processing agreements; advise on cybersecurity, data security, and regulatory compliance; partner with IT, Procurement, and InfoSec to deliver practical, business-focused legal guidance.

Lead Global Audit & Assurance technology audits, focusing on cybersecurity, AI, privacy and data governance. Oversee risk-based audit planning and execution, advise senior stakeholders, drive control improvements, and manage a global technology audit team while shaping audit methodology and talent development.

Lead Systems Engineering and Advanced Technologies to develop early-stage rail automation, energy-performance, and system-optimized solutions. Oversee systems architecture, automation, AI, and cloud engineering; drive concept development, system requirements, safety-critical validation (DFMEA/SFMEA), vendor integration, and transition to commercialization. Serve as global sustainability technical contact and manage technical roadmaps, staffing, budgets, and cross-functional alignment.

Perform mission decomposition, mapping, dependency and criticality analysis to identify and validate mission-essential capabilities, systems, and assets. Coordinate with stakeholders across installations and commands, govern mission assurance data, recommend process improvements, and apply systems engineering, advanced analytics, and AI methods to improve mission assurance.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Lead a ~100-person digital sales hub from the Loughborough HQ to build a high-performing sales culture. Own sales performance, pipeline health, coaching, onboarding, enablement, playbooks and processes, and develop talent into senior and field roles while partnering with Sales Directors on ABC generation.

Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.

The Internal Audit Associate Director leads audit engagements, assesses risks, enhances governance, coaches auditors, and promotes data-driven practices while engaging with senior leadership.

Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Turn messy business requirements into production systems, integrate with Workday/Notion/case tools, ensure data governance and security, design multi-model LLM reliability controls, and operate full lifecycle including CI/CD, monitoring, and incident fixes while partnering with non-technical stakeholders.

Lead the AI/ML Engineering team to transform healthcare claims processing, driving automation and operational intelligence across claims systems.

Own AI features end-to-end from ideation to production for partner brands. Build evaluation, regression, and monitoring systems; embed with customers; codify playbooks and reliability infrastructure to safely ship GenAI/agentic systems at scale in a regulated environment.