Artificial Intelligence Jobs in Tempe, AZ

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.

Lead vision, strategy, and delivery of AI-driven solutions across mortgage and home equity origination. Define roadmaps, build business cases, select vendors, and ensure model governance, compliance, and integration. Partner with data science, engineering, operations, risk, and stakeholders to launch AI capabilities, measure outcomes, drive adoption, and optimize product performance.

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.

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.

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

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.

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.

Designs, develops, and deploys AI-powered solutions in the Salesforce ecosystem. Builds Agentforce agents, Agent Actions, prompt templates, RAG grounding, Apex, LWCs, Flows, integrations, and CI/CD to automate coaching workflows and personalized student engagement while ensuring governance and monitoring.

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.

Lead an AI Agents and Automation product area: define strategy, build prototypes using agentic AI/LLMs, translate technical requirements, partner cross-functionally, monitor metrics, manage workstreams, and ensure product profitability and regulatory compliance in payments.

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.