Top AI Jobs in Los Angeles, CA

Design and implement algorithms for autonomy capabilities in mission planning and decision-making, collaborating with teams on real-world applications. Responsibilities include testing and debugging systems and writing clean code.

The Senior Accountant will oversee accounting functions, manage month-end closes, perform technical accounting analysis, support audits, and ensure accurate financial reporting.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

The Senior Manager, Marketplace will scale the Metropolis Marketplace, manage B2C partnerships, and collaborate cross-functionally to drive growth and optimization.

The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

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.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

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.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

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.

The Principal AI Engineer will lead the development of AI systems, manage agentic delivery tools, define KPIs, and mentor engineers while ensuring effective integration and adoption across teams.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

Use advanced analytics, statistical techniques, and machine learning to extract insights from large datasets. Design data solutions and pipelines, build predictive models (R, MATLAB), and apply TensorFlow and Scikit-Learn for deep learning and NLP. Collaborate with teams and clients, deliver quality work, and adhere to firm standards.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

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.

The Director of Digital Assurance & Transparency will lead AI solution teams, manage full-stack AI solutions, ensure quality, and foster innovation while driving business growth.

Design and implement AI agents and Model Context Protocols to integrate enterprise systems (NetSuite, Zuora, Jira) with LLMs. Build secure, SOX-compliant automation and orchestration workflows, measure KPIs, and partner with Finance, IT, and Security to operationalize AI across enterprise applications.

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

The Software Engineer II will develop AI capabilities, implement workflows, manage integrations with LLM providers, and enhance the TrakSYS platform while ensuring security and reliability.