Artificial Intelligence Jobs in Tempe, AZ

Lead applied research on foundation models, agentic and generative AI from ideation through deployment. Collaborate with cross-functional teams to build, evaluate, and productionize large-scale LLM and multimodal systems, publish research, and translate findings into business-impacting solutions.

Lead research and deployment of foundation models, LLMs, and agentic AI systems from ideation through production. Collaborate across teams to evaluate, scale, and govern generative AI solutions, publish research, and translate models into business impact while ensuring regulatory and risk alignment.

The AI Engineer will design and operationalize AI systems, work with data pipelines, establish standards, and improve product metrics through machine learning and analytics.

Lead PayPal's external partner compliance and risk management, deliver oversight on payment network rules, and develop mitigation strategies for compliance risks.

Lead IAM architecture for AI workloads and conversational agents: design and validate OAuth/OIDC patterns, build POCs, integrate IAM with gateways, agent runtimes, and CI/CD/IaC, define lifecycle and governance, troubleshoot identity flows, ensure compliance, and transition patterns to production while mentoring teams.

As AI Resilience Fund Manager, you will create and manage a fund focused on resilient investments amidst AI disruptions and economic shifts, developing the investment thesis and strategy, leading fundraising, and advising investors over a 20-year horizon.

Lead and develop a high-performing engineering team for software solutions in AI and cloud technologies. Oversee delivery, security compliance, and operational excellence while mentoring talent and driving innovation.

Lead creative production for marketing, utilizing AI to enhance output quality. Manage a team, redefine workflows, and connect creative work to business outcomes.

Lead design and production of high-quality marketing creative at Nextiva, leveraging AI tools. Manage a creative team, define standards, and ensure brand consistency while connecting creative efforts to business results.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.

Lead design, development, and production deployment of scalable ML systems across domains. Own end-to-end ML lifecycle, architect pipelines and serving, drive MLOps maturity, mentor engineers, conduct design/code reviews, and ensure monitoring, governance, and model reliability in production.

Lead technical vision and architecture for enterprise ML platforms and MLOps. Design training, feature, serving, and observability systems; establish ML lifecycle and governance; solve complex cross-team engineering problems; mentor senior engineers; evaluate emerging AI technologies; drive cost optimization, compliance, and organizational alignment.

Design, build, and deploy ML models and end-to-end pipelines; implement MLOps practices; deploy containers to cloud production; monitor model performance and drift; collaborate with engineers and product teams; optimize latency and throughput; write production-quality code and mentor junior engineers.

The Strategic Finance Manager will oversee financial forecasting, develop reporting packages, and enhance financial models while collaborating with executive teams on financial performance insights.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

Senior technical subject-matter expert responsible for Security Posture Management: define operating model, lead initiatives, assess and design controls, monitor KPIs/KRIs, report risks, drive remediation, and advise cross-functional teams to ensure compliance with regulatory and security frameworks.

As a Product Manager, you will work closely with engineering, collecting user feedback, prototyping ideas, and balancing user needs with technical constraints in AI-driven developer tools.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Support compensation program administration, analysis, and modernization through HR systems, automation, analytics, and AI-enabled tools. Partner with HR, Finance, and Technology to manage market pricing, job architecture, compensation cycles, data integrity, reporting, process improvements, governance, and stakeholder communications to ensure equitable, compliant, and scalable compensation programs.

Lead risk assessments across various technology landscapes, utilizing AI-driven tools to identify and manage security risks while collaborating with IT leaders to implement secure practices.

Founding GTM rep responsible for building and qualifying pipeline across enterprises and AI startups, managing inbound requests and outreach automations, re-engaging sign-ups, coordinating discovery calls with founders/CRO, tracking CRM and pipeline metrics, attending events, and proposing GTM experiments and partnerships.

Lead a team to deliver AI/ML solutions, manage projects, ensure compliance, mentor staff, and collaborate with business stakeholders.

The Cybersecurity AI Architect collaborates with cross-functional teams to design secure AI solutions, guides architecture governance, and promotes AI integration in cybersecurity.

Develop and implement AI models and algorithms using Azure technologies, focusing on full-stack development, AI solutions, and collaboration with stakeholders to optimize business processes.

Lead the IAM production reliability team, ensuring uptime, driving incident response, and enhancing systems with AI capabilities while improving operational resilience.