Top Artificial Intelligence Jobs

Leads AI/ML initiatives by defining solution roadmaps, developing and deploying machine learning, deep learning, NLP, and generative AI models, and building batch and real-time production pipelines. Partners with product, engineering, business, legal, and compliance teams to identify impactful use cases, operationalize models on AWS, evaluate performance, and communicate results to technical and executive stakeholders.

Develop systems software, profiling tools, benchmarks, and experimentation frameworks for LLM training, inference, and agentic AI workloads. Optimize performance across GPUs, CPUs, memory, storage, and distributed systems, including caching, scheduling, data placement, and state management. Analyze experimental results and collaborate with research and engineering teams on AI infrastructure innovations, technical publications, intellectual property, and future platform designs.

Own the architecture and technical direction of Square’s go-to-market technology stack. Design, build, and operate production AI agents and automated workflows that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations; establish AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering teams to translate business needs into scalable solutions, guide integrations and build-versus-buy decisions, and mentor engineers through influence and technical leadership.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Lead product marketing for an AI-powered video security platform. Own market strategy, positioning, messaging, go-to-market planning, product launches, sales and channel enablement, customer insights, and thought leadership. Partner cross-functionally with Product, Engineering, Sales, Marketing, and Customer Success to translate technical capabilities into compelling customer value, influence roadmap priorities, and drive measurable business outcomes in a high-growth startup environment.

Develop and implement generative AI solutions for client engagements, including contact center applications, machine learning and NLP integrations, prompt engineering, LLM evaluation, and LLMOps governance. Use Python, Azure AI Services, Google Vertex AI, LangChain, and LLM APIs to build, deploy, monitor, and refine AI applications while supporting data analytics and client outcomes.

Design and deploy AI/ML systems: build data pipelines, develop models using Python and TensorFlow, integrate diverse data sources, apply NLP and sentiment analysis, conduct complex data analysis, and collaborate with cross-functional teams to deliver scalable client solutions while continuously learning.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead the AI strategy, roadmap, architecture, and development of production-grade AI systems within a strategic business domain. Identify high-value opportunities, drive adoption and measurable business outcomes, establish evaluation, testing, guardrail, and observability practices, and mentor AI engineers and agent builders. Partner with product managers, business leaders, and end users to advance AI transformation while ensuring scalable, reliable, and maintainable solutions.

Drive adoption of Atlassian's AI platform (Rovo) by discovering high-impact use cases, co-designing and building custom agents, configuring connectors, and deploying solutions to production. Run workshops, enable customers, collaborate with account and product teams, and measure adoption outcomes to expand AI use across enterprise workflows.

Lead strategy, roadmap, and execution for AI/LLM-powered growth products in fintech. Build end-to-end AI features (copilots, chatbots, recommendations), drive PLG experiments, partner cross-functionally, ensure responsible AI and compliance, launch multi-region products, and mentor other PMs.

Own the architecture and technical direction of Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish reliable and secure AI evaluation practices, make build-versus-buy decisions, and partner with Sales, Product, Data, and Engineering. Remain hands-on across design, implementation, testing, deployment, and operations while mentoring engineers and influencing senior stakeholders.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Design, build, tune, and launch AI agents and full-stack automations for U.S. federal customers. Architect integrations with enterprise systems while meeting federal security, compliance, procurement, and ATO requirements. Advise customer stakeholders, coordinate cross-functional delivery, support product rollouts, synthesize customer feedback, create reusable solution templates, and upskill agency teams. The role requires hands-on API and LLM systems expertise, customer-facing communication, technical leadership, and up to 25% travel.

Lead analytics, AI, and machine learning strategy and delivery across Payments, including scalable data products, production deployment, governance, model lifecycle management, and Generative AI initiatives. Partner with business, Quantitative Research, Technology, Product, and enterprise AI teams to optimize deposits, liquidity, balance sheets, and revenue. Drive self-service analytics, AI adoption, stakeholder alignment, regulatory compliance, and measurable business outcomes.

Leads large-scale AI and machine learning initiatives, defining problem statements, roadmaps, and production solutions. Develops NLP, generative AI, recommendation, personalization, search, and document question-answering models. Builds scalable batch and real-time ML pipelines on AWS, collaborates with product, engineering, business, legal, and compliance teams, and communicates technical results to senior stakeholders. Oversees experimentation, model evaluation, deployment, and team performance.

Build and scale enterprise design systems, reusable Figma components, templates, and visual libraries using AI-powered workflows. Generate, iterate, and animate assets with Figma AI tools, optimize production workflows, and support Art Directors and Interactive Designers with rapid prototyping. Ensure brand consistency, accessibility, responsive behavior, technical precision, and quality across marketing deliverables while maintaining organized, scalable systems.

Lead AI product strategy and strategic operations across an enterprise software portfolio. Track revenue, customers, costs, metrics, and industry trends; support quarterly reviews and annual planning; conduct market sizing and buy-build-partner assessments; manage executive and cross-functional stakeholder alignment; and oversee AI initiatives that drive growth and operational efficiency.

Lead development of AI-powered employee experiences on a web surface. Define product specifications, success metrics, roadmaps, and strategic bets; partner with ML, engineering, UX, data science, marketing, and customer teams; translate user feedback and ambiguous problems into scalable enterprise capabilities; and guide rollout strategies and feedback loops for products serving large user bases.

Develop and prepare multi-dimensional semiconductor layouts from schematics, lead major block developments, verify data integrity, debug physical verification issues, mentor juniors, improve automation and layout methodologies, and coordinate with global design, verification, and CAD teams.

Lead strategy and roadmap for Lowe's Media Network adtech systems and platforms. Translate business requirements into scalable technical specifications, oversee integrations (CRM, OMS, DSPs), drive automation/AI adoption, ensure data quality and reporting, liaise with Product/Engineering/Marketing, and manage a small cross-functional team to enable seamless campaign execution and growth.

Reviews pharmaceutical promotional materials for medical, legal, and regulatory compliance; creates evidence-based claims; evaluates AI outputs; applies FDA and EMA requirements; and collaborates with product, engineering, and client MLR teams to improve platform accuracy, workflows, and compliance. Serves as an internal subject matter expert and helps guide product development and client success.

Leads the global strategy, roadmap, governance, and continuous improvement of post-market quality systems for medical devices. Oversees complaint management, regulatory compliance, surveillance requirements, risk management, data analytics, and AI integration. Partners with quality, regulatory, and cross-functional teams to harmonize processes globally, manages resources and deliverables, and develops a high-performing team. Ensures organizational readiness for evolving international regulations and influences strategic decisions through stakeholder engagement and data-driven recommendations.

Develop advanced personalization and recommendation systems for digital grocery shopping. Build, deploy, monitor, and maintain machine learning pipelines and microservice APIs supporting production inference. Apply natural language processing, generative AI, large language models, agentic AI, recommendation models, deep learning, transformers, and classical machine learning techniques to real-world business problems. Evaluate and tune models, communicate technical results, and contribute to scalable AI solutions.

Leads hands-on architecture and implementation of production-grade generative AI systems, including search, conversational AI, and agentic workflows. Designs retrieval pipelines, orchestration, dialogue management, and scalable backend systems while optimizing latency, reliability, observability, cost, and evaluation. Serves as the senior technical authority for LLM-powered applications, establishes engineering standards, conducts design and code reviews, mentors engineers, and partners with product and business stakeholders. The role requires deep software engineering, AWS, distributed systems, and regulated-environment experience.