Artificial Intelligence Jobs in Tempe, AZ

Underwrite build-to-rent acquisition opportunities, analyze market and proprietary data, generate offers, and prepare investment committee materials. The role manages BTR data collection, reporting, and market research while collaborating with investment, operations, and asset management teams. Responsibilities also include supporting project timelines and onboarding newly acquired residential portfolios.

Manages strategic relationships with enterprise managed service providers across North America. Develops partner business plans, drives practice growth, creates go-to-market strategies, identifies innovation opportunities, generates sourced demand, and supports subscription revenue growth. Oversees delivery quality, escalations, performance targets, account mapping, and partner pipeline development while collaborating with sales, services, and partner leadership teams.

Owns and executes enterprise risk automation product strategy and roadmap. Leads discovery, solution design, prototyping, implementation, integration, and enhancement of AI- and automation-enabled solutions. Partners with Technology, Data, Risk, and business teams to translate requirements into scalable capabilities, drive adoption, measure value, and build sustainable internal operating capabilities.

Leads financial planning, budgeting, forecasting, reporting, business intelligence, and finance transformation. Develops financial models, executive dashboards, KPI frameworks, and variance analyses while improving data governance, automation, and AI-enabled forecasting. Partners with executives and departments on strategic decisions, business cases, M&A, and performance improvement. Builds and manages a high-performing FP&A and analytics team.

Own Nextiva’s product marketing strategy, market thesis, customer and competitive insights, positioning, messaging, launch prioritization, and sales narratives. Lead a team of two to three product marketers, collaborate with Product, Sales, and executives, and ensure marketing initiatives support revenue growth. The role requires customer-facing research, commercial accountability, quantitative analysis, technical fluency, excellent writing, and hands-on leadership.

Supports the Production Control Tower by reviewing KYC and process-break reports, escalating issues, coordinating remediation, and identifying emerging risks. Assists with risk and control self-assessments, control testing, internal audits, monitoring enhancements, reporting, and control-process initiatives. The role requires applying risk taxonomies and control-design concepts, managing workstreams, resolving obstacles, and collaborating with stakeholders and external reviewers.

Design and operationalize security architecture, governance patterns, and technology guardrails for enterprise AI platforms, agentic systems, digital coworkers, and emerging technologies. Responsibilities include threat modeling, security design reviews, architecture diagrams, reference architectures, security requirements, AI security patterns, standards, and implementation guidance. The role partners with engineering, identity, application security, cloud, data, risk, and enterprise architecture teams to evaluate solutions and enable secure AI adoption.

Leads second-line oversight of PayPal’s global payment network and partner compliance programs. Responsibilities include independent challenge, partner due diligence, monitoring, risk identification, issue escalation, remediation, regulatory and network information requests, and executive advisory support. The role partners across Legal, Product, Risk, Sales, Partnerships, and Compliance to improve governance, automate workflows, and ensure adherence to Visa, Mastercard, regulatory, and contractual obligations.

Designs, develops, deploys, and supports production AI/ML solutions for healthcare operations. Builds scalable machine learning services, data pipelines, cloud applications, and MLOps workflows; implements CI/CD, monitors and optimizes deployed systems, evaluates emerging AI technologies, and collaborates with product, architecture, data science, and engineering teams. The role also mentors junior engineers and contributes to technical standards, code reviews, and architecture decisions.

Provides legal counsel to global sales and business teams on complex commercial transactions involving SaaS, hardware, and services. Drafts and negotiates contracts, advises on risk, supervises contracts managers, maintains legal playbooks, and supports contract lifecycle management processes. The role also provides regulatory guidance, negotiates international and government agreements, and helps scale legal contracting operations through process improvements and technology.

Design, develop, test, and maintain software applications, including next-generation cryptographic products. Collaborate with cross-functional teams to integrate solutions, troubleshoot issues, lead software development, apply technical standards, and identify AI-driven improvements. The role requires embedded-platform development, Rust and C/C++ experience, agile practices, technical leadership, and an active Secret clearance.

Leads the design, development, deployment, and scaling of production AI/ML solutions for healthcare. Builds cloud-based machine learning systems, data pipelines, feature workflows, and MLOps processes including CI/CD, monitoring, drift detection, retraining, and governance. Provides architecture guidance, technical leadership, mentorship, and cross-functional partnership while applying NLP, deep learning, computer vision, foundation models, and other advanced AI techniques.

Own the strategy, roadmap, and delivery of enterprise IAM data products supporting access governance, privileged access, authentication, authorization, analytics, reporting, and AI-driven identity services. Lead product prioritization, data architecture and governance, dashboards, risk intelligence, regulatory readiness, and cross-functional execution with cybersecurity, engineering, risk, compliance, audit, and business stakeholders.

Leads Vanguard’s financial planning methodology and R&D team, shaping advice offerings across advised and self-directed experiences. Evaluates and deploys planning tools, partners with product and technology teams, oversees solution evolution, and builds relationships with internal and external providers. The role also develops and manages financial planning experts while driving complex initiatives and innovative, technology-enabled advice solutions.

Leads technology and cybersecurity risk management through emerging-risk identification, independent assessments, testing, advisory, remediation planning, risk metrics, and executive reporting. Reviews technology strategies and architectures, develops assessment frameworks and tools, supports incident response, and mentors junior staff. Partners with stakeholders across regulated financial services organizations to reduce risk and manage strategic initiatives.

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.

Leads rebate financial strategy and drug profitability for a $70B+ portfolio. Oversees financial planning, forecasting, assumptions governance, profitability analytics, scenario modeling, trade capacity modeling, finance transformation, and executive decision support. Partners with senior Finance, Trade, Underwriting, and Operations leaders to optimize margins and profitability, while building high-performing teams and advancing analytics, automation, AI, and technology adoption.

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.

Lead enterprise AI security architecture strategy, standards, governance, reference architectures, and reusable security patterns for AI platforms, agentic systems, digital coworkers, RAG architectures, and emerging technologies. Conduct architecture reviews, guide complex technical decisions, evaluate AI technologies, influence senior stakeholders, lead cross-functional working groups, and mentor architects. The role combines strategic leadership with hands-on architecture design and technical execution across identity, cloud, application, API, data, DevSecOps, and observability domains.

Leads product security initiatives focused on securing AI-assisted software development, AI-enabled products, and agentic systems. Designs scalable security controls, improves vulnerability detection and remediation, partners with architecture, engineering, product, and platform teams, and provides technical direction and mentorship across PayPal.

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.

Supports IT, data science, and AI projects in AWS. Assists with troubleshooting hardware, software, and networking issues; system updates; software installation, configuration, and testing; employee technical support; process documentation; and system log maintenance. Collaborates with development and security teams while gaining mentorship and practical experience in IT support and administration.

Design and deliver enterprise AI solutions using agentic AI, LLMs, NLP, RAG, multi-agent systems, and tool orchestration. Partner with stakeholders to identify high-value use cases, define success metrics, and focus on business outcomes. Build scalable, reliable, explainable, and governed systems with evaluation, monitoring, and guardrails. Advise teams on responsible AI adoption, contribute to strategic best practices, and mentor colleagues.

The job description provides limited role details. The AI Fullstack Engineer will presumably help develop AI-powered software solutions for higher education institutions, supporting administrative automation, student engagement, and data-driven decision-making. Specific responsibilities, technologies, qualifications, experience requirements, compensation, travel, and clearance information are not provided.

Leads enterprise strategy, governance, and implementation of Agentic AI across semiconductor new product development. Builds AI-enabled design platforms, reusable engineering agents, knowledge repositories, and governance frameworks spanning analog, digital, verification, layout, testing, packaging, and systems engineering. Drives cross-functional transformation, establishes productivity and quality metrics, oversees AI lifecycle management, and delivers measurable improvements in development speed, engineering efficiency, IP reuse, and design quality.