Top Artificial Intelligence Jobs

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

Own strategy and execution for Notion's AI self-serve support across chat and emerging interfaces. Drive roadmap with third-party partners, run experiments and QA, measure KPIs (deflection, CSAT, containment/resolution), identify tooling and integration opportunities, and lead cross-functional initiatives to improve product adoption, onboarding, and customer outcomes.

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, 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 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.

Serve as Product Owner/Business Analyst for ServiceNow, AI, and automation initiatives supporting IT Service Desk and Field Technology Services. Elicit and document requirements, produce user stories, partner with architects/developers, support full delivery lifecycle, apply ITIL best practices, design workflows and automations, and lead stakeholder engagement and UAT.

Operate and maintain AI systems supporting enterprise video services, Wello, and brand & sponsorship platforms. Ensure availability, monitor performance, deploy updates, automate operations, respond to incidents, and collaborate with engineering and product teams to scale and improve platform reliability.

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.

Lead and execute the joint GTM strategy with Databricks: define joint business plans, build sales motions and enablement assets, drive regional execution with sales leaders, manage senior stakeholder relationships, and support strategic customer pursuits to grow Celonis' cloud and AI partnerships.

Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.

Lead product vision and roadmap for the Hivemind AI Platform to enable training, evaluation, governance, and safe edge deployment of foundation and domain models. Drive MLOps, data/simulation pipelines, synthetic data generation, model governance, and integration with edge hardware. Partner cross-functionally to productionize research, ensure accreditation and safety, and support continuous learning and sovereign AI factory capabilities for mission-critical autonomy.

As a Senior Systems Engineer, lead technical solutions for R&D Automation and Middleware, ensuring product development and collaboration with internal teams.

Drive new business acquisition and expand UPS international services through prospecting, relationship building, solution selling, and cross-functional collaboration. Develop account strategies, analyze market trends, negotiate contracts, ensure customs compliance, and visit customer facilities to support global supply chain needs.

Designs and conducts statistical analyses for observational and interventional health research, contributes to grant proposals and publications, consults with clinicians, develops analysis plans, and builds an independent externally funded research program while collaborating across multidisciplinary teams.

Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.

Lead technical vision and architecture for ML-driven trajectory generation in autonomous vehicles. Build and deploy scalable training pipelines, integrate models into real-time safety-critical onboard systems, mentor senior engineers, drive cross-functional initiatives, and move solutions from research to production using simulation and large-scale datasets.

Lead and design emerging-technology projects from concept to prototype, evaluate technologies and business models, run user research and validation, build scorecards, pitch opportunities, present findings, and maintain cross-functional and external partnerships to scale business impact.

Lead product strategy and delivery for Kai, Airwallex's AI assistant. Partner with engineering, design, and cross-functional teams to build scalable LLM-powered features, validate new agentic use cases, balance model quality and cost, and drive product performance using user feedback and production conversation data.

Rapidly prototype and validate AI solutions for advisor workflows: integrate models, signals, and UX into experiments, test feasibility and performance, iterate with user feedback, document technical learnings, and hand off prototypes for productionization.

Lead the design and delivery of AI-driven marketing systems to automate repetitive workflows, build agentic content and reporting pipelines, create a centralized AI-queryable knowledge foundation, and partner cross-functionally to connect data and systems that drive pipeline and revenue outcomes.

Design, build, and deploy production-grade AI applications using LLMs, RAG, and agent architectures. Implement vector-database-backed retrieval solutions, create scalable REST APIs and cloud-native backends, and collaborate with cross-functional teams to translate business requirements into robust AI solutions following engineering best practices.

The Director of AI/ML Engineering will drive AI transformations, manage a large engineering team, ensure project delivery, and influence business strategies in healthcare.

Lead enterprise AI strategy and execution to design, pilot, deploy, and scale generative AI, conversational assistants, agentic automation, and AI-enabled workflows across clinical, product, and enterprise systems in a regulated healthcare environment. Align cross-functional teams, define success metrics, and ensure compliance, auditability, and continuous improvement of production AI capabilities.

Ship full‑stack features end-to-end using AI coding agents, drive architecture and technical direction, collaborate with Product and Design, write scalable maintainable code, mentor engineers, document work, and translate industrial automation customer problems into engineering tasks.