Top Artificial Intelligence Jobs

Lead and scale AI engineering and solutions for BFSI, focusing on software development lifecycle transformation and regulatory compliance. Drive platforms' architecture, client delivery, and talent development to enhance organizational growth and innovation.

Manage and lead a software engineering team to develop AI capabilities for Figma's products, driving innovation and mentoring talent.

Design, implement, validate, and deploy advanced machine learning and statistical models across the data science pipeline. Collaborate with product and engineering, mentor peers, translate research into production, and deliver high-impact business insights using large-scale and distributed data platforms.

Design, build, and deploy production AI solutions (agents, copilots, RAG) that integrate with Snowflake and dbt, automate workflows, and deliver measurable ROI across the enterprise.

As a Software Engineer on Proactive Insights, you will build AI-powered features across the full stack, collaborating with Product and Design to innovate analytics tools for users.

Responsible for defining and executing AI and data product vision for a Legal ERP platform, ensuring alignment with customer needs and cloud strategy.

Lead design, development, deployment, and operationalization of ML and LLM-based solutions in a secure DoD environment. Implement MLOps/CI-CD, containerized deployments, monitoring, risk assessments, and Responsible AI practices while mentoring junior engineers and collaborating with stakeholders on data privacy and mission requirements.

As an AI Engineer, lead a team to design and deploy AI-driven solutions on Google Cloud Platform, managing AI agents and promoting best MLOps practices.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Lead the visual design evolution of Hazel brand, collaborating across teams to ensure cohesive brand expression and translate AI capabilities into visual storytelling.

Drive product strategy and execution for Cloud Provider and AI Networking segments. Collaborate with teams to define product requirements, assess market opportunities, and develop go-to-market strategies for Tier 1 and Tier 2 customers.

Define and build internal AI tooling strategy: prototype, deploy, and maintain LLM-powered systems and agents for information retrieval, document analysis, workflow automation, and developer assistance. Drive end-to-end lifecycle, evaluation, observability, and best practices across the company as the first AI-focused engineer on the Internal Software Tools team.

Design and build agent infrastructure and orchestration for AI-driven products; implement observability, tracing, evals, guardrails, and tooling to deploy, monitor, and improve LLM-based systems in production.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

The Senior Manager, AI Performance & Operations is responsible for the performance and improvement of AI workflows, incident response, designing evaluation systems, and stakeholder communication.

Design, develop, and deploy AI-driven healthcare solutions, conduct evaluations, mentor junior engineers, and ensure compliance with healthcare standards.

Develop and optimize a deep learning compiler stack (using LLVM/MLIR) that lowers neural networks from frameworks (PyTorch/TensorFlow/Caffe) to efficient code for embedded/special-purpose platforms, implement NN operation kernels, create optimization and scheduling strategies for multicore/DSP/accelerators, benchmark performance, and collaborate with hardware designers and partners.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

The Solutions Architect will serve as a technical advisor, guiding customers through the integration and deployment of AI technology, with a focus on developing scalable architectures and ensuring successful adoption of Claude systems.

As a Solutions Architect, you will advise government agencies on integrating LLM solutions, guiding them through the adoption process and ensuring technical alignment with business goals.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Develop a deep-learning compiler stack that converts neural network descriptions into optimized code for embedded and special-purpose platforms. Implement and optimize NN operations, use LLVM/MLIR, benchmark on DSPs/accelerators, devise multiprocessor partitioning/scheduling, validate runtimes, and collaborate with hardware designers and partners.

Lead a team of Growth Account Executives to drive revenue growth and retention with startup customers, establish processes, and mentor team members.

Serve as the global go-to-market owner for Tenable AI Exposure: define positioning and messaging, influence product roadmap with customer insights, lead product launches, create sales and marketing assets, enable demand generation and sales, engage practitioner and enterprise communities, and collaborate cross-functionally to drive adoption and growth.

Support AI capability and adoption through prompt engineering, structured experimentation, testing custom GPTs, documenting prompt libraries and exemplars, coaching users, prototyping lightweight AI workflows, and contributing enablement materials.