Top Artificial Intelligence Jobs

The AI Data Strategist role focuses on defining data requirements to drive model improvement across robotic platforms, emphasizing data collection priorities, evaluation frameworks, and lifecycle observability.

Design and implement production-grade multi-agent LLM systems and agent workflows for advisor-facing tools. Build distributed, observable services (model serving, vector DBs, RAG) with memory/state management, validation, and compliance. Partner with product and engineering to optimize for latency, cost, and reliability, and establish evaluation frameworks to ensure grounded, auditable AI-driven insights for portfolio and advisor workflows.

The Venture Capital Associate role involves sourcing and managing investment opportunities, conducting due diligence, and engaging with portfolio companies to drive growth in innovative sectors related to mobility.

Design, develop, and maintain scalable RESTful APIs for generative AI-powered Android applications, optimizing performance and collaborating with teams.

The AI Engineer will develop AI applications and systems, optimize workflows, manage memory and context, and collaborate with teams to integrate AI solutions into products.

Join OPPO as an AI/LLM Test Engineer to evaluate and test the performance of Large Language Models, develop automated test frameworks, and collaborate on AI quality assurance and ethics. The contractor role supports LLM evaluation and validation with focus on automation and performance testing.

Lead and grow the Platform & AI Infrastructure team, set product and technical strategy, write and review code, build shared services (authn/authz, RBAC, FGAC, audit trails), and design and operate reliable AI/LLM infrastructure. Mentor engineers, hire, and embed AI where appropriate to accelerate the product while maintaining compliance.

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

Responsible for developing an AI Agent platform to enhance business productivity, integrating AI with core processes, and leading system architecture design.

Seeking a Senior React Engineer to drive front-end initiatives, collaborating with multiple teams to build scalable applications while contributing high-quality code.

Lead and inspire a small team in AI research focused on autonomy and knowledge capture related to semiconductor equipment. Responsible for project roadmap and development of software modules.

Sole owner of finance operations: manage GL, AP/AR, payroll, month-end close, reconcile pass-through media spend, monitor cash flow and runway, implement scalable accounting systems, build financial models, and prepare financials for future fundraising.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

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.

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.

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.

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.

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.

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.