Artificial Intelligence Jobs in Cary, NC

Leads technology cost transparency, service costing, recovery, transfer pricing, benchmarking, and investment optimization across a global Technology organization. Advises senior leaders through business cases, executive presentations, and data-driven recommendations. Uses Apptio, integrated financial and operational data, advanced analytics, AI, and automation to improve technology financial management, governance, accountability, and investment decisions.

Leads enterprise AI-first technology delivery transformation at MetLife. Defines operating models, roadmaps, governance, controls, adoption strategies, delivery metrics, and readiness practices for agentic software development. Partners with CIO organizations, DevSecOps, Platform Engineering, Architecture, Risk, Audit, and Legal to implement traceable, reviewable AI-assisted workflows in a regulated environment. Advises senior leaders, resolves cross-organizational ambiguity, and drives initiatives through measurable adoption and business value realization.

Leads the design and implementation of MetLife’s AI-first delivery practice. Runs AI delivery pilots, develops context libraries and agentic coding patterns, establishes spec-driven development and review standards, creates reusable enablement assets, and enables teams across GitHub Enterprise and CI/CD tooling. Partners with DevSecOps, Platform Engineering, Architecture, and Learning & Development to address toolchain gaps, measure engineering effectiveness, build practitioner networks, and scale adoption in a governed enterprise environment.

Designs and maintains MetLife Global Technology’s AI-first operating model, including team archetypes, role and accountability frameworks, human-agent governance, lifecycle architecture, decision rights, and transition plans. Collaborates with technology, risk, audit, architecture, and delivery leaders to create standards and reference artifacts that support adoption across CIO organizations. The role also facilitates implementation, incorporates field feedback, and evaluates operating-model effectiveness in regulated technology environments.

Own the end-to-end contracting lifecycle for strategic suppliers and third parties. Draft, review, negotiate, and execute complex technology, SaaS, cloud, data, professional services, and channel partner agreements. Manage contract workflows and records in Pramata CLM, develop templates and playbooks, address privacy and security requirements, monitor obligations and renewals, and provide risk-based recommendations. Partner cross-functionally with Procurement, Finance, IT, QARA, Product, and business leaders across global jurisdictions.

Leads BetaNXT’s enterprise AI product portfolio across DataXChange and InsightX. Owns discovery, market validation, roadmap development, requirements, commercialization, launches, adoption, performance measurement, governance, and client engagement. Partners with engineering, technology, risk, legal, sales, finance, marketing, and product leaders to embed AI capabilities into existing product roadmaps. Builds an AI product team, evaluates partners, and ensures secure, explainable, auditable, and production-ready solutions for regulated financial-services workflows.

Define and govern enterprise AI and agentic security architecture. Build controls for agent permissions, tool access, inter-agent trust, LLM threats, AI asset visibility, Shadow AI discovery, and AI security posture management. Embed automated security benchmarks throughout AI development and deployment pipelines, establish enterprise standards, review AI designs, and partner with platform engineering, MLOps, DevOps, IAM, and architecture teams to enable secure, compliant AI adoption.

As Lead Auditor for Data and AI at MetLife, you'll assess risks, lead audits, identify issues, and communicate findings on innovative initiatives.

Build and maintain AI billing, metering, consumption, and allocation data models. Reconcile usage and billing data across vendors, ensure data quality, and develop dashboards showing costs, utilization, trends, variances, and budget performance. Investigate anomalies and optimization opportunities while partnering with technology, finance, and business stakeholders on forecasting, governance, chargeback, cost transparency, and AI investment decisions.

Leads scientific client support teams, overseeing managers, service quality, resolution performance, metrics, backlog trends, resource allocation, and continuous improvement. Builds cross-functional partnerships, influences product and regional strategy, manages talent development, and provides project oversight. The role requires rotational 24/7 on-call availability and occasional client-site travel.

Manage end-to-end onboarding and implementation of Relias SaaS solutions for mid-market and enterprise healthcare customers. Lead technical setup, configuration, project planning, cross-functional coordination, risk mitigation, training, documentation, and customer relationships to ensure on-time launches.

Lead design and governance of AI-enabled development platforms and agent frameworks for citizen and associate developers. Define reference architectures, reusable patterns, guardrails, and embedded controls for security, compliance, explainability, and resiliency. Partner with engineering, security, and platform teams to validate solutions, drive adoption, and enable reuse through templates, components, and training.

Lead platform and architecture strategy for a unified actuarial platform, defining full-stack standards, UX and API strategy, cloud-native infrastructure, CI/CD and IaC, microservices and DevSecOps practices, and integrating GenAI and Copilot. Own performance, scalability, production operations, technical governance, and mentor engineering teams.

Lead Verizon’s AI infrastructure networking product growth strategy from market identification through commercialization and revenue expansion. Develop ecosystem partnerships with hyperscalers, GPU providers, data center operators, colocation providers, OEMs, and infrastructure partners. Build pricing models, business cases, capacity commitments, and multi-year agreements for optical, fiber, programmable networking, and data center connectivity services. Collaborate with engineering, finance, legal, sales, and product teams while tracking pipeline, contracts, revenue conversion, and partner performance.

Develop AI and machine-learning software on an agile Scrum team supporting mission-critical systems. Apply optimization, signal processing, control theory, probabilistic modeling, neural networks, classification, and dimensionality-reduction techniques. Program primarily in MATLAB, Python, or R, use Git for version control, and potentially deploy solutions with Docker, Kubernetes, Linux, embedded systems, and GPU programming. The role is fully onsite in Morrisville, North Carolina, follows a 9/80 schedule, requires U.S. citizenship, and requires obtaining a Top Secret/SCI clearance with a counterintelligence polygraph.

Develop AI and machine learning software on an agile Scrum team supporting mission-critical systems. Apply optimization, signal processing, control theory, probabilistic modeling, neural networks, classifiers, and dimensionality reduction. Build and deploy algorithms using high-level programming languages, version control, and potentially containerized, distributed, embedded, GPU-enabled environments. The role is fully onsite in Morrisville, North Carolina, with a 9/80 schedule and approximately 10% travel.

Lead product strategy, operating model, and portfolio execution for Composite AI capabilities. Align roadmaps, define technical requirements, embed Responsible AI and governance, coordinate across Architecture, Data & Analytics, and LOBs, and drive adoption, metrics, and product management maturity across a federated model.

Two-year international rotational program for early-career engineers working across R&D teams on software and AI solutions. Responsibilities include developing innovative network and communications products, collaborating with Agile teams, communicating design and project progress, resolving issues, learning new technologies, and adapting to changing priorities. Participants may complete temporary assignments in other countries or locations before continuing their careers with VIAVI.

Develop and maintain high-quality technical manuals, guides, specifications, and related documentation. Lead information sessions with subject matter experts, align content with user needs and product requirements, improve existing materials, manage documentation projects, incorporate usability-testing feedback, and coordinate with design teams on visuals and diagrams. Apply documentation tools, industry standards, and best practices to improve clarity, usability, and content quality.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Leads the architecture and development of scalable AI-powered developer platforms, including code review systems, cloud agent hosting, knowledge bases, and developer experience tools. Provides technical vision, establishes AI agent and framework standards, implements security and governance controls, defines success metrics, partners with organizational leaders, and mentors software engineers. The role combines hands-on engineering with principal-level technical leadership across APIs, services, web and desktop tools, CLI applications, and build integrations.

Provides technical leadership and architectural vision for scalable AI-powered developer platforms, tools, and services. Responsibilities include designing AI agent architectures, REST APIs, microservices, Kubernetes-based services, security and governance protocols, measurement strategies, and developer experience tools. The role partners with leadership, builds complex systems hands-on, mentors engineers, leads architecture reviews, and establishes standards for AI-assisted development across Epic.

Lead the AI and automation Center of Excellence: intake, prioritize, design, build, deploy, and measure AI-enabled workflow automations. Hands-on delivery using enterprise tools, partner with IT/security/legal, enable stakeholders, and scale via governance, reusable patterns, and a growing team.

Design, implement, and maintain gameplay AI systems for Fortnite. Collaborate with designers, artists, and engine teams to prototype, iterate, optimize, and debug AI features across platforms, ensuring high-quality player experiences.

Lead enterprise AI and data strategy, roadmap, governance and delivery to move proofs-of-concept into scalable, compliant production solutions. Build teams, platforms, reusable patterns, and adoption practices; partner with business, IT, security, legal and quality to ensure measurable value, regulatory alignment, and responsible AI practices.