Top Artificial Intelligence Jobs

Designs, builds, deploys, and improves AI solutions and agentic workflows across the company. Responsibilities include evaluating AI tools, defining architecture, integrating systems, implementing guardrails, monitoring performance, documenting solutions, supporting training, and partnering with IT and Security on SOC 2 compliance. The role owns the technical AI roadmap and release readiness while enabling staff to adopt AI safely and effectively.

Designs and operates secure AI applications and backend microservices on AWS. Responsibilities include threat modeling, secure design reviews, vulnerability remediation, secure API development, AI guardrails, prompt testing, RAG pipelines, monitoring, audit logging, and incident readiness. The role collaborates with engineering, product, cloud infrastructure, and security teams to embed secure-by-design practices throughout the software development lifecycle.

Designs and builds secure, production-grade Generative AI and agentic AI applications using Python, LLMs, cloud services, and AI frameworks. Responsibilities include developing scalable AI pipelines, integrating Databricks data with AWS services, applying RAG and vector databases, evaluating models, implementing guardrails, researching emerging tools, improving application infrastructure, and guiding team members.

Leads the architecture, development, and deployment of production-grade agentic AI platforms. Builds multi-agent systems, RAG pipelines, fine-tuning applications, MCP servers, and full-stack applications using Python, Java, React, and microservices. Integrates vector and graph databases, develops prompt and intent logic, and collaborates with business subject matter experts to automate enterprise workflows. Provides technical leadership, mentors engineers, and ensures scalable, secure, production-quality AI solutions.

Design, develop, and productionize multimodal AI systems (VLMs, LLMs, reasoning models) and end-to-end ML pipelines for geospatial data. Build training/experiment frameworks, synthetic datasets, scalable inference, monitoring, and collaborate with research, engineering, and product teams to deliver Earth intelligence solutions.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Lead go-to-market and key account sales for Rubrik Agent Cloud, evangelizing agentic AI governance and security solutions. Drive revenue, qualify opportunities, close deals, gather customer feedback, align product roadmap with market needs, develop sales/marketing collateral, and deliver enablement across Rubrik and partners.

Design and build AI-powered prototypes and end-to-end LLM workflows using Claude, ChatGPT, and other platforms. Partner with Services leaders to prioritize opportunities, translate needs into roadmaps, integrate AI with internal systems, and help productionize solutions. Create documentation, run enablement sessions, and drive adoption across Global Services while collaborating with centralized AI engineering.

Design and prototype AI-powered solutions (LLMs, agents, prompts) to solve creative and operational problems, integrate AI with internal data and APIs, enable teams through documentation and training, and partner with engineering to productionize scalable workflows across Services.

Lead and support PET/CT scientific collaborations with KOLs, drive publications, grant and patent efforts, coordinate research and prototype evaluations with internal teams, and execute research contracts while keeping partners informed.

The Senior Analyst will develop AI and ML algorithms, optimize data systems, and present research findings. Requires extensive experience in model development, system architecture, and MLOps.

Design, build, deploy, and scale production AI applications and agents. Translate business problems into scalable AI solutions, develop backend services and APIs, integrate with enterprise data platforms, ensure observability, governance, and MLOps, and collaborate with cross-functional client teams.

Lead end-to-end design for AI platform features and agent experiences used in enterprise procurement. Develop reusable interaction patterns, shape the product vision for AI integration, collaborate with engineers, product managers, and customer-facing teams, conduct UX research, iterate based on feedback, and lead design reviews. The role requires strong visual and UX design, technical understanding of web applications, and proficiency with AI-powered prototyping tools.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Lead the vision and strategy for a major area of Zip’s AI Agent product. Partner with engineering, design, AI research, customers, and leadership to build agent and chat capabilities, define high-value use cases, and establish evaluations, guardrails, rollout gates, and feedback loops that ensure accurate, reliable, auditable experiences.

Design and build scalable backend services, data-processing workflows, APIs, databases, cloud infrastructure, and AI-powered systems. Lead architecture and technical strategy, own reliability and production operations, mentor engineers, and guide cross-team initiatives from design through deployment. The role focuses on transforming unstructured customer data into reliable structured outputs and developing LLM-powered and agentic workflows.

Cover California legal industry and adoption of legal tech and generative AI. Break news, produce enterprise features, cultivate sources across law firms, startups, regulators, and translate technical concepts for a professional legal audience.

Support GEOINT and Multi-INT intelligence production by applying advanced data science methods to GEOINT and supplementary data, develop analytical approaches to answer intelligence questions, lead the team and serve as government POC, and produce technical writing and briefings. Work collaboratively with scientists, engineers, and analysts; apply coding, visualization, ML, and GIS techniques.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

As a Senior Manager in Product Management, you will oversee AI-driven marketing and sales targeting strategies, integrating data and technology to enhance customer engagement. You'll manage product lifecycles, collaborate with cross-functional teams, and implement data-driven capabilities.

Lead the design and scaling of a payments orchestration platform: own routing, reconciliation, settlement, metrics (authorization, conversion, cost, GMV), payment integrations, analytics, fraud coordination, and partner management while working hands-on with engineering, finance, and operations.

Lead development and scaling of a payments orchestration platform: own routing, authorization, settlement, reconciliation, and integrations across processors and rails. Drive payments strategy, run data analysis and SQL-backed experiments, collaborate with engineering, finance, fraud, and BD, and optimize authorization, conversion, and unit economics.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

As a Customer Success Manager, you will lead initiatives to enhance customer outcomes, manage accounts, and collaborate with engineers to optimize our SaaS platform.

Lead reverse engineering and vulnerability analysis across full CNO capability development life cycles. Guide an Agile team to design, develop, test, validate, and deploy complex Windows/UNIX and embedded software solutions, leveraging AI/ML to inform operational parameters while supporting national security missions.