Artificial Intelligence Jobs in North Las Vegas, NV

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.

The role involves leveraging Microsoft Dynamics technologies to solve client business issues, managing projects, and delivering solutions in a consulting capacity.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

Lead large-scale Microsoft Dynamics 365 CRM projects, provide strategic guidance, innovate processes, and coach teams while engaging senior clients to achieve operational excellence.

As a Manager, you will supervise teams, manage client engagements, and facilitate the implementation of Dynamics 365 ERP Finance. This includes analyzing complex business issues and ensuring adherence to methodologies and standards.

Lead the design and implementation of Microsoft Dynamics ERP solutions, manage large-scale projects, and innovate processes to enhance operational efficiency and client outcomes.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Evaluate AI coding agents end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide opinionated feedback, distinguish response quality levels, and help define standards for great AI-developer interactions. Participate in take-home evaluation and interview as part of a rolling, project-based engagement.

The AI Engineer/Analyst evaluates AI tools, builds enterprise AI solutions, ensures compliance, and drives AI adoption across teams.

The Software Engineer will design, build, and maintain features across platforms utilizing C#, ASP.NET Core, SQL, and React or Angular, while engaging with AI tools within a collaborative team environment.

The Quality Engineer, AI-Native designs and maintains automated tests for APIs and UIs, ensuring quality in AI-generated code delivery, collaborating closely with engineers and managing CI/CD processes.

The Manager, AI-Native Software Engineering leads a software engineering team, ensuring effective delivery and team development while integrating AI tools into workflows.

Design and ship scalable full‑stack applications using React, Node, and TypeScript; integrate LLMs and AI services (RAG, embeddings, vector search); build supporting data/retrieval layers; measure and optimize AI feature quality, latency, and cost; collaborate with cross‑functional teams and DevOps; maintain secure, testable code and share AI/web technology best practices.

Lead and grow an AI Data Application team to build web platforms and services for metadata storage, dataset generation, and data search. Define technical vision, integrate with ML teams, guide AI adoption in frontend, and deliver APIs and query federation solutions to accelerate ML development.

Provide legal counsel and governance for enterprise AI adoption, monitor global AI and data privacy regulation, draft and negotiate AI and data contracts, support AI policy development, conduct DPIAs, advise on AI risks (bias, IP, employment), and collaborate with cross-functional teams on compliance, incident response, and training.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.