Top Artificial Intelligence Jobs

Lead strategic enterprise support for high-value customers, resolve critical escalations across CX platforms, drive AI-augmented support practices, mentor engineers, influence product direction, and ensure customer adoption, retention, and long-term success.

Develop and deploy computer vision capabilities, implement image analytics, support multimodal AI workflows, and optimize performance in a mission-driven environment.

The Senior Director of Generative & Agentic AI will lead Babel Street's AI strategy, architecting scalable AI capabilities and collaborating across teams for product integration and operational excellence in risk intelligence applications.

Lead design and implementation of an edge-native intelligent processing platform integrating SDRs, edge AI, distributed inference, resilient peer-to-peer communication, containerized services, CI/CD and DevSecOps; integrate hardware/software, mentor engineers, produce documentation, and support demos and customer evaluations.

As a Staff AI Product Designer, you will lead the design of AI-driven user interfaces, collaborate with cross-functional teams, innovate user-centered designs, and ensure ethical considerations in AI applications across platforms.

Design, build, and operate an enterprise-grade Agentic AI platform for federal/national security customers. Architect production LLM services, agent orchestration, retrieval and vector search pipelines, CI/CD, observability, and AI governance. Lead technical direction, mentor engineers, collaborate across product/security/infrastructure, and deliver secure, scalable, production-ready AI workloads and documentation.

The Senior Principal AI/ML Architect will drive AI architectural vision, influence multi-squad strategy, design intelligent systems, and set operational standards for Yahoo Mail's AI capabilities.

Design, optimize, and deploy ML and LLM capabilities for resource-constrained heterogeneous edge platforms. Build efficient inference pipelines, RAG/semantic search, distributed inference orchestration, model optimization (quantization/pruning/distillation), monitoring, evaluation, and AI governance. Integrate models into production software, support multimodal and sensor analytics experiments, document results, and assist with customer demonstrations and prototypes.

Lead strategy and execution for an enterprise AI ecosystem and developer-first platform. Build curated AI catalogs, secure AI access, extend Kong gateway capabilities, provide developer tooling and onboarding, drive adoption, and partner with security, platform, and product teams to standardize scalable, compliant AI consumption across the organization.

As a Research Scientist, you will develop AI software tools for power electronics, focusing on design automation and performance optimization, collaborating with global teams on applied research and practical solutions.

Design and implement high-performance C++ system software that interfaces with GPUs and hardware, integrate AI frameworks across platforms, contribute to build systems and toolchains, collaborate with cross-functional teams, and grow into architecture and leadership roles.

The AVP, AI Product Manager will lead product management for advisor-facing AI solutions, overseeing the development lifecycle, validating solutions, and ensuring compliance while maximizing business impact.

Lead the architecture, build, and deployment of AI-driven automation and intelligent systems to solve security, compliance, and risk challenges. Develop real-time intelligence, workflow automation, and risk-based decision-making tools, and engage customers and partners to refine and deploy production-grade solutions.

Design, build, and productionize end-to-end AI-enabled applications and agentic workflows. Own front-end, back-end, APIs, data access, orchestration, integrations, deployment, monitoring, and operational quality. Iterate with stakeholders, define governance and best practices, and ensure secure, reliable, scalable AI solutions.

Design, build, and productionize end-to-end AI-enabled full-stack applications and agentic workflows. Collaborate with stakeholders to iterate on real use cases, integrate with enterprise systems, ensure security and observability, and improve agent quality through testing, evaluation, and operational metrics.

Lead and define AirOps' AI-native advertising product: build playbooks, run 0-to-1 experiments across LLM platforms, map customer growth architectures, converge paid and organic strategies, translate learnings into product and GTM, and serve as the company's public thought leader in AI Ads.

Lead system-level architecture and platform capabilities across the full stack. Own end-to-end systems, design reusable primitives, identify and mitigate scalability and technical risks, drive cross-team initiatives, set engineering standards, and mentor engineers. Deliver across frontend (Angular), backend (.NET/C#/Python), and data layers (PostgreSQL, SQL Server), and communicate tradeoffs to leadership and product stakeholders.

Lead enterprise Data & AI platform architecture across cloud, edge, and hybrid environments. Define standards for lakehouse, streaming, MLOps, vector DBs, and real-time inference. Guide technology assessments, roadmaps, governance, and architecture community; mentor architects and align platform investments with business priorities.

Lead AI transformation and technical pre-sales for Finance & Supply Chain ERP, driving POCs, workshops, demos, and technical win strategies. Engage C-suite and technical decision makers, collaborate with partners and engineering, address Copilot/AI Agents compliance and security concerns, and support pipeline creation, deal velocity, and competitive wins for D365 F&SC and Microsoft AI solutions.

Lead software architecture and performance optimization for AI accelerator platforms across kernels, compiler/runtime, distributed training and inference. Prototype and validate software, analyze large-scale workload behavior to find bottlenecks and numerical correctness issues, and guide hardware-software co-design and production-scale system tradeoffs with cross-functional teams.

Lead strategy and execution for enterprise data and AI/ML platform as a product. Own roadmap, delivery, adoption, and value tracking for foundational platform products (ingress/egress, data quality, engineering agents, AI/ML platforms). Manage portfolio, build business cases, mentor teams, drive cross-functional alignment, and ensure measurable business outcomes while balancing modernization and technical debt.

Embed with cross-functional teams to design, build, and maintain AI applications. Translate business requirements into production software, implement and integrate AI/LLM features, and collaborate closely with stakeholders on product outcomes.

Lead Gartner research on AI-ready finance data, advising CFOs and finance leaders on governance, metadata, semantic architectures, data products and modern data foundations. Create frameworks, maturity models, and thought leadership; deliver presentations, client advisory, and collaborate across analyst teams to operationalize AI-ready data. Travel up to 25%.

Own strategy, execution, and optimization for an assigned marketing channel (SEO/AI search). Define targeting, campaign structure, KPIs, and roadmaps; run testing, measurement, and governance; partner cross-functionally to connect channel performance to applications, funded accounts, retention, and business outcomes.

Lead and build an AI platform engineering team to design, deliver, and scale agentic and generative AI solutions. Own end-to-end platform delivery, select and standardize AI tools, collaborate with product and design, and drive adoption of AI-based management applications across Cisco products.