Cloud Jobs

We are seeking a Senior AI Engineer to join our Engineering team. In this role, you'll design retrieval architectures, build AI-powered agents, and own production deployments that serve health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to work at the intersection of cutting-edge AI and real-world impact, in a fast-paced, collaborative environment. This is a remote-first role that may require occasional travel for team meetings and company events.

$135k - $170k

Anduril Industries is seeking an Applied LLM Systems Engineer to design, build, and operate production AI systems that enhance the creation, transformation, validation, maintenance, and delivery of technical documentation. This role focuses on building AI-assisted authoring, automated publishing, and multi-agent coordination tools for the Technical Publications pipeline. It requires a systems-engineering approach for someone experienced in delivering production AI systems, understanding evaluation and rollback, and managing probabilistic systems in enterprise environments with strict requirements. The goal is to expand system capability while optimizing token usage, context efficiency, and cost at scale.

$191k - $254k

Accenture

Accenture's Cloud Advisory practice is seeking a senior technology leader to drive FinOps automation at scale using AI. This role involves defining target architectures for agentic AI in FinOps, establishing policy-as-code references, and standing up reusable agentic components and pipelines. You will lead teams to implement FinOps automations across multi-cloud client portfolios, operationalize Accenture's AI standards, and embed security controls within agentic workflows. The position also requires defining KPIs, publishing executive dashboards, and contributing to sales pursuits. Travel may be required based on business and client needs.

$163k - $414k

Cohere

Cohere is seeking a Staff Forward Deployed Engineer to bridge the gap between frontier AI capabilities and complex customer realities. This role involves architecting high-performance, resilient machine learning systems within enterprise environments, acting as the primary technical liaison between Cohere's core engineering teams and strategic partners. You will own the architecture for customer-specific inference challenges, ensuring our large language models operate reliably, securely, and at peak performance within client infrastructure. The goal is to achieve exceptionally low latency, high throughput, and seamless resilience in production deployments.

$240k - $415k

Glean is seeking recent university graduates with a passion for software engineering to join our team. As a University Graduate Software Engineer, you will participate in designing, developing, and maintaining software solutions that power our products and services. You will own impactful infrastructure problems from inception to production launch, write design documents and robust code, and collaborate with a strong team to prioritize projects. Team placements will be made based on interest and open roles, with opportunities in Backend, Product, and ML Engineering.

$115k - $150k

Turing's Enterprise AI unit operates with the speed and focus of a startup, building advanced AI solutions for leading enterprises. As a Forward-Deployed AI Engineer, you will be at the forefront of applied AI in the workplace, shaping how AI is integrated into critical business workflows. You will own outcomes end-to-end, from identifying high-value customer problems and shaping architecture to building production systems and collaborating directly with senior client leaders. This role involves developing generative AI solutions that drive measurable impact and ROI within large institutions, offering an intellectually challenging environment for those seeking difficult, high-impact work.

$200k - $250k

The Knowledge Architecture team at CoreWeave is responsible for how the Product and Engineering organization captures, structures, and shares information. This team builds internal documentation, onboarding content, and technical education programs to help engineers find answers and become productive quickly. They also establish standards and create the ontology infrastructure to maintain knowledge accuracy as the company scales. As a Knowledge Architect, you will contribute dedicated documentation and knowledge infrastructure capacity, writing and maintaining technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides. You will also build and maintain onboarding content for new engineers and work with subject matter experts to capture undocumented knowledge.

$134k - $179k

Accenture

As a hands-on AI Infrastructure Architect, you will be responsible for designing and optimizing the AI and machine learning infrastructure that powers real-world applications. You will work alongside senior architects and engineers, applying your skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their underlying infrastructure. This role involves architecting and optimizing infrastructure components, writing and reviewing code and deployment scripts, designing and tuning compute resources like GPU clusters and distributed training environments, and deploying AI systems into production. You will also build and optimize data pipelines, monitor system health across InfraOps and MLOps, and troubleshoot complex issues. Additionally, you will mentor junior engineers, contribute to architectural decisions, and help establish best practices, making meaningful contributions to infrastructure that enables AI-driven business outcomes.

Accenture

As an AI/ML Computational Scientist Manager, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will encompass the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems. This position requires formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, and engaging in research and development of new AI and high-performance compute algorithms.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves providing architectural direction and leadership, influencing vision with product managers and engineering teams, and solving complex problems. You will lead design sessions, conduct code reviews, and mentor team members to foster a learning culture and ensure successful project contributions.

Accenture

Accenture is seeking a senior engineer to join their AI-native engineering team. This role involves partnering directly with client technology leaders to design, build, and operate production systems where AI is a core engineering capability. You will own the entire technical solution from architecture through production, working across application and product engineering, APIs, services, data, cloud infrastructure, DevSecOps, security, observability, and AI. The position emphasizes engineering with AI, using AI-native development techniques throughout the software lifecycle to improve delivery and operations, and leading multidisciplinary teams to set technical direction and drive adoption of AI-native engineering practices within enterprises.

$94k - $316k

Accenture

Accenture Song accelerates growth and value for clients through sustained customer relevance, spanning ideation to execution across growth, product, experience design, technology platforms, creative, media, marketing strategy, and campaign orchestration. We operate AI-first, actively using AI in our processes and client solutions. This role involves bringing an AI-first lens to client engagements, using AI to accelerate discovery, map user journeys, and model ROI. You will lead the implementation of cloud migrations and Adobe technologies to drive business value, acting as a trusted advisor throughout the transformation journey. The role also requires architecting scalable, secure cloud-based solutions and using AI tools, including generative design and LLM-assisted architecture review, in your own design process.

$133k - $302k

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms.

$184k - $357k

NVIDIA is seeking a Systems & Software Engineer to build and manage reliable, large-scale infrastructure platform services. This role involves creating and supporting automation for infrastructure management, specifically for EDA platforms running on NVIDIA hardware. You will be responsible for designing, building, deploying, and running infrastructure services, managing their software lifecycle, and developing automation to eliminate manual tasks and enable scaling. The role also includes defining internal service level objectives and error budgets as part of an observability strategy, practicing incident prevention and response, and consulting with peer teams on systems design best practices.

$184k - $357k

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, specifically the Mission Control group, is responsible for quality assurance, release management, and incident management across the systems that power Anduril's factories. This role will be a senior technical anchor, building automated system integration tests to ensure the quality of product lines as they move through various enterprise systems. The goal is to create a robust testing framework that simulates production environments and empowers engineers and operators to verify quality themselves, leveraging AI to enhance test authoring, maintenance, and triage.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and personal preferences. This AI-driven healthcare platform aims to revolutionize patient interactions, moving beyond the current system's forgetfulness. The company has experienced significant growth, with substantial funding and recognition, and is seeking individuals passionate about making healthcare more accessible.

$190k - $240k