Artificial Intelligence Jobs in Tempe, AZ

Lead design and delivery of servicing readiness and operating models for a new Small Business Insurance segment. Define workflows, roles, inquiry handling, escalation paths, and enablement. Partner cross-functionally to launch, scale, and continuously improve processes using data and AI-informed tooling while managing stakeholders and executive communications.

Lead identification, assessment, and execution planning for AI/ML, automation, and process improvement initiatives. Perform process mapping, data analysis, SME interviews, KPI definition, and change management. Partner with business, finance, and risk stakeholders, prepare senior-management presentations, and support adoption and governance of scalable solutions.

Lead second-line oversight for payment network and partner compliance globally. Provide independent challenge to first-line teams on network rules, due diligence, monitoring, issue escalation, and remediation. Advise senior leadership, manage cross-functional responses to partner and regulatory requests, drive process automation and AI-enhanced workflows, and scale compliance programs across jurisdictions while maintaining strong stakeholder relationships.

Develop physics-informed AI surrogates and simulation-accelerating models for aerospace mechanical systems. Create scripted FEA/CFD datasets, integrate surrogates into engineering workflows, collaborate on R&D proposals, and advance NVIDIA physics‑accelerated AI tools for design and analysis.

Develop numerical models and experiments to simulate and improve manufacturing processes, support production transitions for new blade programs, implement AI/ML solutions, expand IP, and mentor site engineers while providing production design and troubleshooting support.

Manage end-to-end administration of equity compensation (options, RSUs, PSUs, XSP), coordinate cross-functional stakeholders, ensure accurate accounting and SEC reporting (Forms 3/4), support 10b5-1 trading plans, reconcile equity-related balance sheet accounts, prepare equity rollforwards, and drive process automation and controls.

Lead execution of enterprise pricing strategy and day-to-day pricing operations. Drive pricing tools, optimization platforms, analytics, AI/ML applications, and commercial workflows. Support field sales with proposals, agreements, approvals, and pricing guidance. Manage and develop a team of senior pricing analysts, lead cross-functional initiatives, and deliver measurable pricing and margin improvements.

Design and guide enterprise-scale, cloud-native solutions leveraging software engineering and AI. Provide technical leadership across SDLC, design mobile/cloud apps, integrate via APIs and data services, implement CI/CD and release/configuration practices, and architect end-to-end ML pipelines for cloud and edge deployment while aligning solutions with business objectives.

Lead and scale advanced manufacturing operations, owning safety, quality, delivery, cost, and customer satisfaction. Drive operational transformation through automation, digital manufacturing, AI/analytics, and continuous improvement. Oversee supplier quality, materials qualification, production planning, and workforce development while partnering cross-functionally to support capacity expansion and business growth.

Lead architecture and technical strategy for an agentic AI claims automation platform. Define end-to-end architecture, enable multi-agent workflows, integrate models and MLOps, ensure governance, resilience, observability, and cost efficiency, and mentor architects while aligning with enterprise AI standards.

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 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.

Join as a founding GTM team member to build and qualify pipeline, manage inbound chats/emails, run outreach automations, re-engage sign-ups, track CRM and metrics, and attend events to generate high-value relationships with developers, startups, and enterprises in the open AI ecosystem.

Manage the full eDiscovery lifecycle for litigation matters: scope and execute ESI collection, processing, review, and production. Use Relativity One, BrainSpace, iPro and other tools, ensure QC and metrics reporting, coordinate cross-functional stakeholders, mentor teams, and produce attorney-facing reports.

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 design and implementation of identity and access controls for human and non-human (agentic) identities. Build runtime controls, secrets workflows, policy-as-code, monitoring, and governance for AI agents. Embed IAM into AI development, integrate telemetry with SIEM/SOC, ensure GRC compliance, and recruit and lead a team to scale NHI/agentic IAM capabilities.

Research, design, and implement foundation models for machine-generated and graph data; develop distributed training and inference pipelines; collaborate with engineering and product teams to productionize models; evaluate new AI/ML techniques and drive MLOps, monitoring, and model optimization to improve scalability and reliability.

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.

Build, deploy, and maintain internal AI-powered applications and orchestration pipelines. Re-engineer business workflows for automation, define standards for reliability and observability, collaborate with IT/Security/DevOps, and mentor team members to drive company-wide AI adoption and measurable efficiency gains.

Design, build, fine-tune, evaluate, and deploy production-grade ML and LLM systems. Implement transformer models, RAG architectures, and agentic workflows; develop MLOps pipelines, containerized deployments, monitoring, and AI evaluation frameworks; collaborate cross-functionally and provide technical leadership and mentorship.

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.

Lead a small team to design end-to-end solution architectures for complex PBM initiatives. Ensure adherence to architecture principles, drive modernization, lead PoCs and technology deep-dives, advise App Dev on performance and technical roadblocks, and integrate APIs, microservices, cloud, streaming, and AI/ML automation into solutions.

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 maintain infrastructure and processes to govern and scale enterprise AI tooling. Integrate data feeds for usage and cost metrics, support LLM lifecycle management and benchmarking, implement AI governance guardrails, collaborate with architecture and cross-functional teams, and create enablement documentation.

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.