Top Artificial Intelligence Jobs

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

Define and advance data and platform architecture for Performance & Platform Management. Establish scalable patterns for data, AI, and API integrations; integrate AI/ML insights into operational workflows; partner with product, engineering, and business stakeholders; support SDLC and governance to ensure performance optimization, measurement foundations, and enterprise visibility.

The Engineer Principal will lead spacecraft testing operations, mentor team members, develop test strategies, and manage integration processes, focusing on spacecraft systems and subsystems.

Lead and scale a sales team targeting AI startups and digital-native companies to drive new logo acquisition and expansion. Own revenue targets, recruit and coach sellers, position Cloudflare products (Workers AI, R2, network security) to technical buyers, and partner with Product, Growth, and Marketing to convert self-serve developer usage into enterprise deals. Act as executive sponsor for startup and VC relationships and operate at the intersection of PLG and top-down enterprise sales.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

Lead AI transformation of compliance technology within Aladdin by designing and deploying LLM/agentic AI solutions, RAG/vector search systems, and scalable Java-based distributed platforms. Partner with product, compliance, and engineering to build fault-tolerant, cloud-native systems, define AI roadmaps, and deliver next-gen compliance rule engines and automation at enterprise scale.

Lead the Scheduling product roadmap, shipping mobile calendar and AI-native scheduling features. Balance platform reliability and new capabilities, partner with Engineering/Design/GTM, and drive metrics across booking volume, calendar utilization, and AI engagement to increase GMV and provider retention.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead and mentor a data engineering team to design, build, test, and deploy cloud-based, AI-enhanced risk management data solutions. Collaborate across Agile teams and product managers, implement big-data and streaming systems, perform unit tests and code reviews, and drive technology adoption and performance tuning.

Lead a team building cloud-native, full-stack microservices and AI-enhanced risk management solutions. Design, deliver, and mentor on scalable AWS-based systems using modern web stacks and generative AI tooling to meet regulatory and business needs.

Lead design, development, deployment, and support of large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization to improve scalability, cost, latency, and throughput while guiding technical vision and cross-functional delivery.

Design and develop backend services and APIs, implement microservices, manage databases, and integrate AI/ML features, ensuring production readiness and engineering best practices.

Lead development and oversight of RGA's global compliance framework, advising business leaders, managing multi-jurisdictional compliance programs, driving compliance technology and AI-enabled solutions, overseeing monitoring/testing, regulatory change, policy governance, whistleblower processes, and building high-performing distributed teams to embed a culture of integrity across global operations.

Lead and grow an Applied AI engineering squad to design, build, and ship GenAI-powered features across Copia's products. Define strategy and roadmap, oversee architecture (frontend, backend, APIs, LLM integration, RAG), ensure reliability and operational quality, mentor engineers, manage hiring and performance, and promote responsible AI practices in a safety-critical domain.

Lead design and delivery of enterprise-scale AI platforms and reusable architectures. Build and scale generative and agentic AI systems, LLM-based automation, and cloud-native solutions while advising executives, ensuring security/compliance, mentoring senior engineers, and driving modernization across the organization.

Lead design and delivery of enterprise-scale AI platforms and reusable architectures, focusing on generative and agentic AI, cloud-native modernization, and production-ready LLM systems. Provide hands-on technical leadership, mentor engineers, ensure security, compliance, and responsible AI practices, and drive cross-organizational initiatives that align AI solutions to business value.

Lead design, development, deployment, and support of large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate with cross-functional teams, optimize models for performance and cost, leverage open-source and SaaS AI tools, and shape the long-term technical vision for foundational AI platform services.

Lead design and delivery of enterprise-scale AI platforms and reusable AI patterns. Provide hands-on principal-level engineering, architecture, prototyping, and technical leadership for Generative and Agentic AI, cloud-native modernization, and cross-enterprise initiatives while ensuring security, compliance, and responsible AI.

The role involves leading DENSO’s AI and data analytics strategy, developing solutions, managing teams, and ensuring data governance while driving measurable business value.

Develop and maintain software for the Missile Defense Agency, focusing on AI solutions, optimization engines, and complex software applications.

The position focuses on technology and artificial intelligence at a multi-strategy investment firm, emphasizing innovation and collaboration.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Project Leader/Manager will oversee AI & Data projects in Life Sciences, managing teams and delivering data solutions, while enhancing data science capabilities for clients.

The Reserve Engineer is responsible for servicing and maintaining robotic hardware, providing customer support, and assisting with deployments. Requires excellent communication skills and flexibility with scheduling.