Top Artificial Intelligence Jobs

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.

The role involves defining AI solution strategy and roadmaps, engaging with clients, conducting market research, and collaborating with engineering teams. Key responsibilities include managing solution roadmaps, competitive analysis, and developing go-to-market plans.

Design and deliver AI tools, contribute to technical roadmaps, implement LLM features, evaluate systems, and ensure robust model deployment.

The Principal, AI Architect leads the design and development of AI platforms, ensuring compliance and scalability while guiding engineering teams and influencing senior leadership through architectural decisions and strategy.

The GTM AI Engineer will design and build AI applications to enhance GTM activities, integrating AI systems with existing platforms to improve sales processes and automate tasks.

The Senior Category Manager - Technology will develop category strategies, lead sourcing initiatives, manage supplier governance, and drive technology spend optimisation, while collaborating with senior leaders in an AI-driven environment.

Lead the design and development of AI/ML-powered prototypes for space and missile defense, mentor junior engineers, and engage with stakeholders for innovative solutions.

Lead the design and development of AI/ML prototypes for space and missile defense, mentor junior engineers, and engage with stakeholders.

As a Senior AI Engineer, you will design and develop AI/ML prototypes, lead technical solutions, mentor junior engineers, and engage with clients to ensure project alignment. You'll also track project milestones and contribute to proposal writing and thought leadership.

Lead AI Solutions practice at Merkle, driving strategic AI implementation for Fortune 500 clients while managing a high-performing team and establishing industry partnerships.

The Principal AI Engineer will operationalize AI capabilities, build AI access platforms, manage deployment across environments, and design MLOps pipelines to support AI applications.

Oversee the end-to-end operation and governance of an AI platform, ensuring alignment with enterprise architecture and compliance regulations.

As an Account Executive at LTX Studio, you will manage the sales cycle, develop strategies to meet sales targets, build relationships, and collaborate with teams to improve product-market fit.

As AI Enablement Lead, you will automate workflows, drive AI adoption, and embed AI solutions across teams to enhance productivity at Mavens.

The Agentic AI Engineer will build autonomous AI systems, focusing on multi-agent orchestration, RAG pipelines, and LLM fine-tuning for edge devices.

The Data Engineer will develop data platforms, manage ELT pipelines, ensure data quality, optimize Snowflake performance, and collaborate with various teams to support AI initiatives.

Oversee AI adoption strategy, develop internal policies, and build AI solutions. Collaborate across teams and communicate progress to executives.

The AI Architect at Marsh will design and integrate AI capabilities into existing systems, drive technology evaluations, and document architecture for engineers and AI agents.

The AI Data Operations Manager will oversee AI data capture and data labeling operations, ensuring efficient workflows and high-quality datasets for mapping products and AI models.

The AI Strategist will lead enterprise customers in SEO and AI search strategies, driving measurable outcomes and collaborating closely with product and R&D teams to create impactful narratives.

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to develop analytics engines and collaborate with teams to enhance business value and communication of results.

Lead technical engagements with customers, developing AI solutions, optimizing workloads on GPUs, and collaborating cross-functionally to improve infrastructure efficiency.

The Senior Manager, PR will lead communications strategies to enhance awareness of AI applications across various industries, collaborate with leaders, and manage media relations for impactful coverage.

The Principal Consultant will lead strategic data modernization and AI programs for enterprise clients, providing architecture guidance and fostering client relationships. Responsibilities include advising on data platforms, overseeing project delivery, identifying business opportunities, and mentoring teams.

Lead the Knowledge Access Team in managing Confluence and adjacent platforms, optimizing data processes for AI integration, and improving content governance.