Top Artificial Intelligence Jobs

Design, develop, and maintain Python applications and AI agents, integrate AI solutions with APIs and data sources, build Power BI dashboards, prepare and model data, collaborate with stakeholders, document systems, and troubleshoot and improve analytics and automation solutions.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.

Design and deliver AI-enhanced product features, collaborate with engineering and customers, lead cross-functional initiatives and product strategy, gather requirements into roadmaps, and build customer relationships to drive enterprise-scale value.

The AI Integrator role focuses on program coordination, facilitating communication on AI initiatives, and aiding in strategy development for GTE & GSE, enhancing collaboration and knowledge sharing across engineering teams.

Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.

Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Turn messy business requirements into production systems, integrate with Workday/Notion/case tools, ensure data governance and security, design multi-model LLM reliability controls, and operate full lifecycle including CI/CD, monitoring, and incident fixes while partnering with non-technical stakeholders.

Lead the AI/ML Engineering team to transform healthcare claims processing, driving automation and operational intelligence across claims systems.

Own AI features end-to-end from ideation to production for partner brands. Build evaluation, regression, and monitoring systems; embed with customers; codify playbooks and reliability infrastructure to safely ship GenAI/agentic systems at scale in a regulated environment.

Lead the evolution of HR tech by integrating Workday with AI-driven solutions, developing automated workflows, and ensuring user experience across HR systems.

Lead end-to-end operational delivery for Toast Embedded Finance (banking, lending, payments, collections, leasing, spend). Own SLA and quality performance, build dashboards and capacity models, and partner with Product/R&D to remove manual work. Drive an AI transformation to implement LLM-based agentic workflows and automation, upskill teams, manage 30+ managers, and provide executive-level strategy to turn Operations into a growth engine.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and troubleshoot AI-driven detection models, automation playbooks, API integrations, and threat-hunting for customers. Provide training, mentorship, and customer-facing collateral while optimizing detection efficacy and integrating Falcon into customers' security workflows.

Own and maintain Wasabi's end-to-end revenue forecast and master model across products, regions, sales pods, and cohorts. Build what-if scenarios, reconcile ARR/bookings/billings/GAAP revenue, produce regular review packages, and lead variance walks. Partner with FP&A, Accounting, Sales Ops, BI, and Data Science; design quota structures; support annual planning; and use AI and ML-driven inputs to automate workflows and improve forecast accuracy.

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

Define and advance data and platform architecture for Performance & Platform Management. Establish scalable patterns for data, AI, and API integrations; integrate AI/ML insights into operational workflows; partner with product, engineering, and business stakeholders; support SDLC and governance to ensure performance optimization, measurement foundations, and enterprise visibility.

The Engineer Principal will lead spacecraft testing operations, mentor team members, develop test strategies, and manage integration processes, focusing on spacecraft systems and subsystems.

Lead and scale a sales team targeting AI startups and digital-native companies to drive new logo acquisition and expansion. Own revenue targets, recruit and coach sellers, position Cloudflare products (Workers AI, R2, network security) to technical buyers, and partner with Product, Growth, and Marketing to convert self-serve developer usage into enterprise deals. Act as executive sponsor for startup and VC relationships and operate at the intersection of PLG and top-down enterprise sales.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

Lead AI transformation of compliance technology within Aladdin by designing and deploying LLM/agentic AI solutions, RAG/vector search systems, and scalable Java-based distributed platforms. Partner with product, compliance, and engineering to build fault-tolerant, cloud-native systems, define AI roadmaps, and deliver next-gen compliance rule engines and automation at enterprise scale.

Lead the Scheduling product roadmap, shipping mobile calendar and AI-native scheduling features. Balance platform reliability and new capabilities, partner with Engineering/Design/GTM, and drive metrics across booking volume, calendar utilization, and AI engagement to increase GMV and provider retention.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead and mentor a data engineering team to design, build, test, and deploy cloud-based, AI-enhanced risk management data solutions. Collaborate across Agile teams and product managers, implement big-data and streaming systems, perform unit tests and code reviews, and drive technology adoption and performance tuning.

Lead a team building cloud-native, full-stack microservices and AI-enhanced risk management solutions. Design, deliver, and mentor on scalable AWS-based systems using modern web stacks and generative AI tooling to meet regulatory and business needs.