Top Artificial Intelligence Jobs

The Executive Director will lead AI integration into financial advisor platforms, overseeing product vision, strategy, and lifecycle while ensuring compliance and driving business outcomes.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

The AI Platform Engineer will build a firmwide AI Development Platform, focusing on scalable and secure solutions, implementing AI capabilities, and improving productivity across the organization.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.

The Principal Architect will lead AI/ML solutions, mentor teams, and collaborate with clients to design and deliver scalable systems using Google Cloud technologies, ensuring compliance with ethical standards.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

As the Strategic AI Adoption Lead, you will drive customer activation and success by designing strategies and building communities for AI solutions. You'll customize training and workshops to ensure measurable business outcomes, fostering deep relationships with stakeholders to enhance user engagement.

The role involves owning deployment success, building champion communities, leading workshops, and refining training materials based on customer needs to drive AI adoption.

Lead AI transformation for strategic Fortune 100 accounts, manage customer portfolios, and develop relationships, driving ROI and cross-functional initiatives to realize AI's impact on business.

As a Software Engineer focused on generative AI, you will design scalable AI services, optimize APIs, and collaborate with cross-functional teams to enhance enterprise-wide transformation.

Own activation and platform success across an enterprise customer portfolio: design and deliver custom AI solutions, run workshops and champion programs, build power-user communities, track adoption and ROI, and collaborate cross-functionally to scale AI adoption.

Lead and apply AI in MarTech & AdTech, designing scalable marketing solutions, governing AI practices, and enhancing efficiencies in marketing platforms.

Lead AI transformation for Fortune 50-100 clients, managing strategic partnerships, guiding ROI initiatives, and driving enterprise-level AI adoption with executive teams.

Lead AI transformation for Fortune 100 clients, managing relationships and driving substantial ROI through change management and strategic insights. Facilitate cross-functional programs and scale transformation best practices.

As the AI transformation lead, you'll drive strategic change in Fortune 100 companies, enhancing AI adoption, managing C-suite relationships, and leading large-scale transformations with measurable ROI.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Design and build backend systems for AI workflows, optimize solutions using Python, integrate AI/ML tools, and collaborate with teams for enterprise applications.

The Senior Product Manager will lead the strategy and execution of AI-powered recruiting products, collaborating with engineering and design teams to enhance user experience and drive product strategy based on user feedback and data analysis.

Design, develop, test, and deploy scalable software solutions and AI assistant capabilities. Integrate generative AI/LLM frameworks, vector databases, and cloud services. Collaborate across teams, provide technical guidance, mentor junior engineers, and apply prompt engineering and responsible-AI guardrails.

Lead design, build, and deploy scalable Generative AI and ML systems into production. Implement LLM integration, prompt engineering, RAG, conversational interfaces, model monitoring, evaluation frameworks, APIs, inference optimization, and collaborate to productionize forecasting and ML models.

Lead end-to-end delivery of Voice AI projects: scope, plan, track, and hand off production. Align product to customer needs, set and monitor metrics, manage scope, resources, budgets, testing, and client communications while working closely with engineering and data teams.

Serve as the presales technical expert for ML capabilities: lead discovery, architect ML solutions, run demos/workshops/proofs-of-concept, coordinate cross-functional teams, and inform product direction based on customer feedback.

Lead the development of large-scale video foundation models for humanoid autonomy, focusing on training strategies and model evaluation for real-world applications.

The Senior Digital Solutions Analyst will support AI program integration at Northeastern University, engage stakeholders, and ensure user-centered solutions through training and ongoing improvements.