Artificial Intelligence Jobs in Tempe, AZ

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.

Leads prepaid debit card fraud risk management, including fraud strategy, controls, loss performance, trend monitoring, root-cause analysis, and mitigation. Manages and develops fraud analyst experts while partnering with product, operations, technology, compliance, payment networks, issuing banks, and regulators. Supports launches, audits, client proposals, escalations, and executive reporting. Promotes responsible use of AI, machine learning, analytics, visualization, and data storytelling to improve fraud outcomes.

Leads Blue Yonder’s CPG strategic advisory practice, overseeing supply chain assessments, maturity evaluations, transformation roadmaps, and strategic services. Builds executive client relationships, advises C-level stakeholders, develops go-to-market strategies, shapes industry-specific solutions, and leads cross-functional teams. Identifies market trends and opportunities while ensuring measurable business value, client satisfaction, and high-quality advisory delivery.

Manage end-to-end operational improvement and workflow optimization projects. Analyze root causes and performance metrics, document requirements, develop project plans, create training and communications materials, update knowledge repositories, implement scalable procedures, reduce manual workarounds, and support technology launches. The role partners with business and technical stakeholders, manages change across multiple projects, mentors colleagues, and ensures compliance with applicable laws and regulations.

Develops and maintains profitable vehicle transportation lane pricing across automotive customer segments. Responsibilities include benchmarking rates, building pricing models and dashboards, auditing rate and billing data, supporting bids and contract pricing, forecasting margins, identifying revenue leakage, and recommending rate changes. The role partners with Sales, Operations, Finance, Data Science, and Engineering while governing rate structures, documenting methodologies, and improving pricing automation and data quality.

Build and lead Axon’s enterprise crisis management program, including preparedness frameworks, governance, playbooks, escalation procedures, executive reporting, crisis coordination, tabletop exercises, and post-incident reviews. Partner cross-functionally with Global Security, Legal, HR, IT, Communications, Manufacturing, and executive leadership to strengthen organizational resilience. Improve crisis management through technology, automation, dashboards, metrics, and data-driven insights while translating lessons learned into sustainable program enhancements.

Leads the enterprise AI governance program, overseeing AI risk assessments, controls, policies, regulatory alignment, committee governance, and executive reporting. Partners with cybersecurity, privacy, legal, compliance, technology, and business teams to enable responsible AI adoption, strengthen governance processes, document risk decisions, and mature the operating model. The role also leads and mentors teams while serving as a credible challenge partner across the organization.

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.

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 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.

Leads finance for onsemi’s Power Solutions Group, serving as strategic advisor to executives and owning the financial narrative, P&L performance, forecasting, capital allocation, investment governance, and resource planning. Partners across product, sales, operations, supply chain, engineering, and corporate finance to shape strategy and improve execution. Establishes strong controls and reporting integrity while advancing AI, automation, and analytics across finance operations.

Leads technology development for composite wind blade design, materials, manufacturing, tooling, and automation. Owns maturation from early research through production implementation, establishes technology roadmaps and stage-gate processes, and applies AI/ML to engineering and manufacturing challenges. Builds technical teams, manages budgets and partnerships, directs modeling and validation, supports production transitions, develops business cases, and protects intellectual property. The role collaborates globally with engineering, operations, quality, suppliers, customers, universities, and technology partners.

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.

Provides hands-on technical leadership for enterprise AI security and supporting infrastructure. Responsibilities include designing AI security frameworks, reference architectures, threat models, privacy controls, secure pipelines, and proof-of-concept implementations. The role applies MITRE ATLAS, NIST, and emerging AI standards; secures hybrid and cloud environments using Zero Trust; conducts assessments; supports governance, compliance, audits, and risk management; and advises cross-functional engineering, legal, privacy, architecture, and business teams.

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.

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.

Designs, develops, and deploys AI-powered Salesforce solutions using Agentforce, Apex, Lightning Web Components, Flows, APIs, prompt engineering, and Retrieval-Augmented Generation. Builds autonomous agents and intelligent coaching workflows, integrates Salesforce with external systems, configures CI/CD pipelines, monitors agent performance, and applies enterprise security, governance, and responsible AI standards. Collaborates with architects, stakeholders, product owners, and operations teams in an Agile environment to automate administrative work and improve personalized student engagement.

Own enterprise AI adoption by developing change strategies, measuring engagement and behavioral change, designing role-based training, leading employee communications, maintaining the AI Hub, and assessing workforce readiness. Partner with HR, communications, IT, Microsoft, executives, and regional teams to build trust, improve AI literacy, and sustain adoption across a global workforce.

Lead the product strategy for Ester, an AI product. Manage product development, collaborate with engineering, enhance user experience, and drive product launches while analyzing data to refine offerings.

Own concurrent healthcare customer implementations from contract handoff through stabilization. Manage stakeholders, phase gates, status reporting, discovery, workflow mapping, UAT, training, defect triage, and go-live reviews. Diagnose root causes using data and translate operational findings into AI agent configurations, routing rules, extraction fields, and escalation paths. The role combines project management, process design, customer partnership, and structured problem solving without production coding.

Design, build, deploy, and optimize production AI systems, including LLM integrations, RAG pipelines, embeddings, vector search, predictive models, and inference systems. Collaborate with product and engineering teams to translate business needs into scalable solutions for recommendations, risk scoring, forecasting, and workflow automation. Own data pipelines, monitoring, evaluation, security, privacy, documentation, and continuous model improvement across cloud environments.

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.

The Forward Deployed Engineer interfaces directly with customers to assess and resolve security issues, delivering tailored AI and data-driven solutions, while documenting processes for broader application across customers.

Lead enterprise AI strategy, governance, and adoption; partner with business and technical leaders to prioritize use cases, measure value and risk, and guide secure, responsible implementation of AI solutions while managing and developing AI talent.

Build and deploy scalable AI and machine learning solutions across business functions, from ideation through production. Lead architecture, MLOps, RAG, prompt engineering, model optimization, integrations, monitoring, observability, and responsible AI governance. Partner with infrastructure, security, data engineering, and business teams while mentoring junior engineers and driving enterprise AI adoption on Azure.