Top Artificial Intelligence Jobs

Lead the development and implementation of the C3 AI Defense and Intelligence product suite, focusing on customer interaction, strategic direction, and marketing strategies. Collaborate with teams for successful product launches and communicate effectively with clients and industry leaders.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

As an Applied AI Engineer, you will develop ML solutions for clients, optimize AI models, and collaborate with teams to meet business needs.

Design, build, and operate production-grade LLM systems and multi-agent AI workflows. Own prompt architecture, RAG pipelines, cloud-native AI infrastructure, monitoring, and reliability to deliver scalable member-facing and operational solutions.

Design and operationalize enterprise cloud data and AI solutions. Lead LLM/MCP integration, data lake/warehouse alignment, governance, standards, optimization, and mentor teams to deliver scalable, secure AI-driven capabilities.

The VP II will lead product management of AI-driven advisor solutions, overseeing the entire product lifecycle, vendor relationships, and compliance, aiming to improve advisor productivity and client outcomes.

Lead modernization of LPL's Product Development and Software Development Lifecycles using AI workflows, improve cycle times and developer experience, and enhance productivity through cross-functional collaboration.

The Senior Software Engineer will design and implement a data platform, build ML pipelines, automate processes, manage governance, and improve user experience for data engineers and analysts.

Lead enterprise strategy, platform, and delivery of production-grade agentic AI systems. Define architecture, governance, and success metrics; build teams; partner with cross-functional stakeholders to embed autonomous agents into regulated, high-availability healthcare workflows.

The Senior Analyst will enhance AI marketing strategy using LLMs, analyze data for strategic insights, and improve marketing initiatives.

Design, build, and productionize Generative AI applications (document intelligence, RAG, semantic search). Implement LLM fine-tuning, vector search, agentic workflows, and MLOps on GCP; collaborate with clients to translate requirements into scalable, reliable AI services.

The Principal AI Architect will design and implement AI frameworks, ensuring compliance and security for institutional clients, while leading technical validations and architecting client projects.

Lead strategy, roadmap, and execution for voice automation using generative AI. Define product requirements, integrate LLMs/ASR/TTS and third-party tools, measure outcomes, and drive adoption across patient, provider, and internal journeys.

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

Seeking Data Scientists and Senior Data Scientists to innovate with Generative AI for marketing. Responsibilities include developing tools for content generation and audience insights. Senior roles will mentor and lead projects.

This role focuses on developing AI solutions for investment professionals, enhancing efficiency and research quality through modern AI technologies, specifically LLMs and agentic systems.

Develop LLM-powered solutions, improve developer productivity, automate mundane tasks, and establish best practices for AI integration.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

Drive adoption and integration of generative AI and legal technologies across practice groups. Design AI-enabled workflows, run trainings and pilots, gather attorney feedback, monitor usage, and support change management and knowledge initiatives to improve legal service delivery.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

The role involves providing strategic direction and operational leadership for AI/ML and analytics solutions, managing teams and resources, collaborating with business strategies, ensuring excellence in project delivery, and driving compliance with organizational standards.

The AI Automation Engineer will design and implement AI-driven automation solutions across various business functions, ensuring efficiency in workflows and collaboration with stakeholders.

The role requires designing and optimizing large scale networks, particularly in AI/HPC, while analyzing performance metrics and enhancing systems for training and inference workloads, including significant travel for buildouts.

The Principal Software Engineer will architect, design, and develop AI-powered solutions, collaborate across teams, and ensure high-quality delivery of projects.