AI, ML & Data Research Jobs

Wells Fargo Markets is hiring a Vice President-level GenAI Agentic Engineer to design, build, and deploy production-grade agentic solutions that automate complex front-office Sales & Trading workflows. The role partners with product, data science, and business teams to deliver secure, scalable agent systems, emphasizing LLM integration, prompt engineering, state management, and regulatory compliance.

HPE is hiring an AI and Machine Learning Engineer to design, develop, and deploy ML models and algorithms for Hybrid Cloud products. The role focuses on data preparation, model training and evaluation, and collaborating with cross-functional teams to deliver scalable AI/ML solutions in a hybrid work model (≈2 days/week onsite).

Senior Machine Learning Engineer to research, develop, and deploy scalable ML systems for Splunk Observability Cloud, focusing on streaming anomaly detection, predictive intelligence, automated root-cause analysis, and integrating generative/agentic AI features. The role drives production-grade, cloud-native ML infrastructure and frameworks for model trustworthiness and resilience across hybrid and multi-cloud environments.

Senior AI Engineer responsible for designing, prototyping, and building production-ready AI and ML systems that power agentic commerce intelligence for a multichannel eCommerce platform. You will develop internal dashboards, operator tooling, data pipelines, and LLM/agent integrations while balancing rapid iteration with maintainability and scalable architecture.

As a Staff Software Engineer, AI at BlackLine you will develop and refine the company's fin‑tech AI platform by integrating production-grade LLMs, designing scalable AI system architecture, and collaborating with engineering and product teams to deliver AI solutions from prototype to production.

Design and build scalable, low-latency AI inference microservices for high-volume video processing and deploy production pipelines for Video Understanding and LLMs. Focus on throughput, cost-efficiency, performance optimization, and turning R&D into production-ready features while maintaining high engineering standards for AI-assisted code.

Join Alarm.com as a Data Scientist II on the Business Intelligence team to perform complex analyses, build customer models and neural networks, and create AI-powered tools that leverage LLMs. The role emphasizes independent research, problem solving, rapid learning of new tools, and cross-functional collaboration to drive business decisions.

Lead a team that builds large-scale simulated network environments and capture-the-flag (CTF) challenges to train and evaluate AI red-team and blue-team agents, advancing generative-AI-driven defensive capabilities. Drive design, implementation, and collaboration across research and engineering to improve agentic wargames and self-driven learning for security outcomes.

Lead strategy and execution for AI-native security products at Microsoft Security NEXT, driving incubation from zero-to-one and scaling to platform-wide adoption. Provide hands-on technical leadership across architecture, data, and models while ensuring responsible AI, safety, and operational readiness.

Join the M365 Copilot App Platform team as a Senior Software Engineer to design, build, and optimize scalable data pipelines and platforms that power analytics and AI across Microsoft 365 Copilot. The role focuses on delivering reliable, secure, and high-performance data systems, partnering with engineers, data scientists, and product teams to enable Copilot experiences across web, Windows, and Mac.

Senior AI Engineer to design and build core backend and AI systems for a modular, gRPC-based orchestration platform, focusing on high-performance Python services, LLM integration, and scalable data persistence using relational and vector databases. The role uses an AI-augmented "Vibe Coding" workflow to direct AI-generated code, perform expert review, and rapidly iterate on architecture while collaborating closely with the lead architect.

Lead development and maintenance of large enterprise application systems for a client member platform, driving architecture, project prioritization, and cross-team coordination. Apply machine learning and AI technologies (agentic chatbots, recommendation engines, hyper-personalization) alongside modern cloud, container, and DevOps tooling to deliver scalable solutions.

Lead the technical vision and multi-year architecture for AI-first security products at Microsoft, driving zero-to-one incubation and one-to-many platform scale. Provide hands-on technical leadership—prototyping, designing RAG and model routing solutions, and aligning cross-functional teams to deliver secure, responsible AI security experiences.

Senior Analytics Engineer to own one or more business domains and build end-to-end analytics solutions using a modern data stack; deliver reliable pipelines, dbt models, semantic layer definitions, and AI-enabled intelligence to power reporting and LLM interfaces. Hybrid role based in Louisville, KY, collaborating closely with the CDO and a small analytics team with a path to leadership.

Join the engineering team building Splunk Observability Cloud's intelligent backbone to research, develop, and deploy scalable ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. The role focuses on applying generative and agentic AI to productionize trustworthy, resilient AI features for cloud-native and hybrid environments.

Join the engineering team building core analytical components for Splunk Observability Cloud to research, develop, and deploy scalable ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. Provide technical leadership to apply Generative and Agentic AI, deliver production RAG/Agentic products, and establish frameworks for AI trustworthiness and resilience.

Principal AI Engineer for Microsoft Security NEXT to define multi-year strategy and roadmap for AI-first security experiences and platform. Lead zero-to-one incubation and one-to-many scale, provide hands-on technical leadership across architecture, data, and models, and drive responsible, production-ready AI features end-to-end.

Build and evaluate responsible generative AI systems for healthcare by developing LLM evaluation, observability, safety, data pipelines, and agentic AI components. Collaborate with clinical experts and product teams to deploy scalable, production-ready AI solutions that reduce clinician burden and improve patient outcomes.

The AI Solutions Engineer will design, develop, and deploy AI-powered applications and workflows to improve operational efficiency and customer experience across NEOGOV’s platform. The role partners with cross-functional teams to translate AI/ML capabilities into scalable, responsible solutions and leads projects from ideation to production.

Lead the design and delivery of Hearst’s Audience Targeting and Contextual Intelligence Platform by building scalable backend services, data pipelines, and integrations with the core publishing platform. Act as the technical owner of applications in the ecosystem, collaborating with frontend engineers, data scientists, and platform teams to deliver AI-enabled advertising technology.