Find your next AI Engineering role

Accenture

As a Technical Architect in AI Infrastructure Architecture, you will act as a senior technical authority for Snowflake-based AI/ML and data platform infrastructure. You will shape the technical vision, reference architecture, standards, and implementation strategy for enterprise AI systems. This role involves evaluating complex choices across warehouses, secure data architecture, Snowpark, AI application enablement, feature/data pipelines, governance, observability, security, and cost optimization. You will guide senior architects to deliver resilient, scalable, and production-ready AI infrastructure, bringing industry experience across enterprise AI adoption, compliance, reliability, FinOps, and platform modernization to translate AI infrastructure trade-offs into measurable business value.

Accenture

Accenture is seeking an AI Infrastructure Architect to design and build custom AI infrastructure and hardware solutions. This role focuses on optimizing the performance, power consumption, cost, and scalability of the computational stack. You will advise on AI infrastructure technology, vendor evaluation, selection, and full-stack integration. The position involves hands-on engineering for enterprise-grade LLM, GenAI, and agentic AI components, with a focus on Azure platform engineering. You will translate high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations, bringing practical industry experience to ensure solutions are safe, scalable, and relevant. As a technical or engineering lead, you will contribute code, design decisions, reusable patterns, and documentation.

Accenture

As a Senior Engineer in AI Infrastructure Architecture, you will be responsible for the end-to-end architecture and engineering of optimized data and AI infrastructure for production machine learning and AI-enabled applications. This includes designing scalable warehouses, AI-ready data/feature pipelines, model-enablement patterns, and automation controls that meet client standards for security, compliance, and cost-efficiency. You will leverage your industry experience in enterprise AI adoption, platform modernization, and production reliability to mentor engineers and translate business requirements into robust AI infrastructure solutions.

Accenture

Accenture is seeking an AI Infrastructure Architect to design and build custom AI infrastructure and hardware solutions. This role focuses on optimizing the performance, power consumption, cost, and scalability of the computational stack. You will advise on AI infrastructure technology, vendor evaluation, selection, and full-stack integration. The position involves hands-on engineering for enterprise-grade LLM, GenAI, and agentic AI components, with a focus on Azure platform engineering. You will translate high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations, bringing practical industry experience to ensure solutions are safe, scalable, and relevant. As a technical or engineering lead, you will contribute code, design decisions, reusable patterns, and documentation.

Accenture

As a Principal AI Infrastructure Architect, you will be the firm's most senior technical authority on compute infrastructure for large-scale AI and machine learning systems. You will bring extensive experience as a lead and senior architect, with command over a broad landscape of technological options and the latest innovations. You have a proven track record of successfully designing and deploying large-scale infrastructure on which significant AI/ML solutions operate in production and demonstrably deliver business value. You will weigh and rationalize multiple viable architectures across compute, networking, storage, orchestration, and model serving, making authoritative decisions tailored to each client's situation, standards, and strategic objectives, and you will set the technical direction that senior and lead architects build upon. You will serve as a recognized expert across at least one hyperscaler cloud and be conversant across several, bringing deep, current knowledge of AI/ML services, accelerators, interconnects, and cost levers, while continuously scanning the horizon for promising emerging technologies. You will shape strategy and roadmaps, establish standards and reference architectures, mentor and elevate the architect community, and ensure the firm delivers AI/ML infrastructure that meets business SLAs, controls cost, scales to frontier workloads, and creates lasting business value.

Accenture

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. As a Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that are trained on extensive datasets, ensuring the models can effectively process natural language. The workday includes analyzing model performance, refining parameters, and collaborating with various teams to integrate these models into broader applications. Continuous innovation and problem-solving are key aspects, as the architect shapes the future capabilities of language-based artificial intelligence systems.

Accenture

As a hands-on AI/LLM Architect, you will be responsible for designing and building advanced AI systems for enterprises. This role involves a significant amount of architecture and engineering work across classical machine learning, generative AI, and agentic systems. You will translate requirements into architectural decisions, select design patterns, evaluate frameworks, and choose technologies that balance innovation with reliability. A key part of the role includes designing AI agent architectures, working with foundation models through fine-tuning and RAG, and engineering the AI context layer to ensure AI outputs are grounded and accurate. You will also design and validate systems against enterprise non-functional requirements like security, observability, and scalability, producing tangible engineering and architecture deliverables such as software components and detailed architecture artifacts.

Accenture

As an operational AI/LLM Architect, you will be at the forefront of designing and developing advanced AI systems that power modern businesses. This is a highly technical and hands-on role where you will spend most of your time architecting and engineering real-world AI solutions across traditional machine learning, generative AI, and agentic systems within active client engagements. You will translate business needs into concrete architectural decisions, selecting appropriate design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making technology choices that balance innovation with enterprise-grade reliability. You will design and develop AI agent architectures, including multi-agent orchestration, tool use, skills, and memory systems, while working directly with foundation models through fine-tuning, Retrieval-Augmented Generation (RAG), and custom model integration. A significant part of your work will also involve designing and implementing the AI Context Layer that makes these systems truly intelligent in production. You will connect enterprise knowledge bases, structured and unstructured data sources, and specific business content to ensure generated responses are reliable, relevant, and aligned with client objectives. You will design and validate systems against enterprise non-functional requirements, including security, observability, governance, performance, and scalability. A key deliverable of this role is the production of concrete architectural and engineering artifacts. This means you will develop and own software components as a practitioner, building, integrating, and testing AI system modules, while producing detailed architecture documents such as Architecture Decision Records (ADR), component diagrams, data flow diagrams, and integration specifications that will serve as a reference for engineering teams. You will collaborate with multidisciplinary teams of Data Engineers, ML Engineers, and application developers. This position offers an excellent opportunity to develop deep expertise across the entire AI architecture stack, refine your engineering instincts on complex and concrete problems, and build a career path towards a Lead Architect or Principal Architect role.

Accenture

As a Senior AI/ML Computational Scientist, you will be responsible for designing, building, and operationalizing AI and ML solutions for enterprise clients. This involves a blend of custom models and cloud/third-party AI services to achieve production-ready outcomes. Your work will cover the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and LLMs), and designing scalable data and MLOps/LLMOps pipelines for both training and production environments. You will also ensure the quality, value, and reliability of deployed systems.

Accenture

As an AI/ML computational scientist, you will design, develop, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with third-party and cloud AI services to deliver production-ready results. Your role will span 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 pipelines and MLOps/LLMOps for training and production, ensuring the quality, value, and reliability of deployed systems.

Accenture

As a hands-on Engineer in AI Infrastructure Architecture, you will design, build, automate, monitor, and optimize AI/ML infrastructure on Microsoft Azure for reliable, scalable, and cost-effective model development and production workloads. You will work on moderately complex infrastructure components under guidance from senior architects and engineers, contributing to GPU/accelerated compute environments, model deployment pipelines, observability, security, and operational reliability for AI-driven business solutions.

Accenture

As a hands-on Engineer in AI Infrastructure Architecture, you will design, build, automate, monitor, and optimize AI/ML infrastructure on Microsoft Azure for reliable, scalable, and cost-effective model development and production workloads. You will work on moderately complex infrastructure components, contributing to GPU/accelerated compute environments, model deployment pipelines, observability, security, and operational reliability for AI-driven business solutions.

Accenture

Accenture is seeking an API Integration Developer to design, develop, and maintain integrations between Adobe Workfront and other business applications. This role focuses on leveraging REST APIs, automation platforms, and end-to-end integration solutions to optimize workflows and enhance operational efficiency. The ideal candidate will possess strong experience in API development, data transformation, scripting, and integration architecture, with the ability to manage client relationships, translate business requirements into technical solutions, troubleshoot complex issues, and identify opportunities for process automation and continuous improvement. Experience with Adobe Workfront Fusion is a requirement.

We are seeking software engineers to develop next-generation high-speed interconnect technologies for GPU and high-performance computing servers. This role involves close collaboration with hardware architects, silicon designers, and platform software experts to drive innovation in factories and data centers. The ideal candidate will possess strong C++ programming skills, a deep understanding of networking concepts, systems software fundamentals, and current hardware architecture. Excellent communication and meticulous engineering practices are essential for providing robust and efficient solutions to validate and test next-generation processors.

$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

Parloa is shaping the foundation of a new era in customer experience with agentic AI, where customer support becomes meaningful exchange rather than just transactions. We have powered over one billion interactions for global enterprise brands. As Manager, Agent Architecture, you will build and lead a team that transforms customer service with AI Agents, while also staying hands-on in the build yourself. You will hire, coach, and set goals for Agent Architects, owning the quality of every AI Agent they ship, with a significant portion of your capacity dedicated to live customer engagements. This is an opportunity to lead at the forefront of enterprise AI, where credibility is earned through direct contribution alongside your team.

$160k - $180k

NVIDIA is seeking a founding Director to establish and lead its Forward Deployed Engineering (FDE) organization for open models, specifically focusing on NVIDIA Nemotron and NVIDIA Cosmos across North America. The core mission is to transform open-source models into production-ready AI solutions tailored to specific domains, leveraging NVIDIA's partner ecosystem. This role involves setting the strategic direction for North America, building and scaling the FDE team, and fostering strong relationships with partners, customers, and NVIDIA leadership. The FDE team will work collaboratively with top partner engineering and research teams, co-leading joint customer engagements and developing best practices to ensure partner success and scalability. The ultimate goal is to empower organizations to build, own, and operate their AI on open-source models.

$320k - $489k

We are seeking a Senior Forward Deployed Engineer to lead technical engagements with partners and customers, focusing on NVIDIA's open model portfolio. The primary mission is to transform open models into production-ready AI solutions tailored to specific domains, covering the entire lifecycle from post-training to harness optimization. This role involves collaborating closely with NVIDIA's partner ecosystem, co-leading customer engagements, and developing resources that enable partners to scale their AI initiatives. You will work hands-on to build custom AI solutions, from initial customer conversations through to production deployment, ensuring models are optimized for performance and cost-effectiveness.

$184k - $357k

Accenture

Accenture is seeking a hands-on GCP Senior Data Engineer to join their Google Cloud Business Group. This role involves modernizing data ecosystems, building real-time analytics, and scaling AI solutions on Google Cloud Platform (GCP). You will work directly with clients and senior architects, contributing to end-to-end project execution by designing and implementing modern data and AI solutions. The position offers opportunities to apply technical skills, learn advanced Data & AI patterns, and support delivery teams.

$94k - $266k

NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role involves deep technical expertise in embedded firmware, Linux kernel development, and middleware development, combined with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment.

$184k - $357k

NVIDIA is seeking a Senior Software Architect to join our GPU Communications Libraries and Networking team. This role involves co-designing next-generation data center platforms and scalable communication software crucial for advancing Deep Learning and High Performance Computing (HPC). You will investigate and identify communication performance bottlenecks, design and implement new communication technologies, and explore innovative hardware and software solutions for future platforms. This is an opportunity to break performance barriers and deliver cutting-edge technologies that power AI and HPC workloads at massive scales.

$184k - $357k

NVIDIA is seeking a motivated Deep Learning engineer to integrate advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, and SGLang. You will work with the team that created communication libraries like NCCL and NVSHMEM, and technology like GPUDirect, to scale Deep Learning and HPC applications. Your work will directly impact AI application performance by improving communication between GPUs, making AI toolkits easier for the community to use. This role offers an outstanding opportunity for someone with an AI background to advance the state of the art in this space.

$184k - $357k

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 Senior Systems Software Engineer to focus on GPU Performance at Scale. In this role, you will drive innovation in AI and GPU computing by contributing to world-class computing hardware and software. You will provide insights into large-scale system composition and tuning for high-performance compute runs, collaborating with researchers, developers, and customers to create improved workflows and develop new solutions. You will also engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.

$184k - $357k

OpenAI

Dots is building personal AI agents designed to help users make progress on their goals, even when they are not actively using tools like ChatGPT. These agents are capable of learning user preferences, maintaining context across interactions, operating across different applications, and utilizing cloud computing resources to perform tasks. The team combines product engineering, design, and research to transform advanced AI model capabilities into practical, everyday user experiences. Engineers on this team play a crucial role in shaping both the product itself and the underlying systems, from initial prototyping through to launch and ongoing iteration. This role focuses on building the product experiences for Dots, from the user interface to the backend services that power them, helping to define how users delegate tasks to their personal agents, monitor progress, and collaborate with them over time. It involves hands-on product development and the systems engineering required to ensure persistent, asynchronous agent experiences are reliable.

$347k - $385k

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Assort Health is building a continuous conversation for every patient, an AI agent that remembers patient context and carries it through their healthcare journey. The company has developed a large proprietary dataset in healthcare, experienced significant growth, and secured substantial funding. They are seeking driven, product-minded engineering interns to join their team at an exciting stage. Interns will gain hands-on experience with cutting-edge generative AI and voice/transcription models, working on meaningful projects from zero to one in a dynamic startup environment. This role offers the opportunity to make a significant impact on making healthcare administration more efficient.

$110k - $125k

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Their work integrates model training, inference algorithms, and serving systems, optimizing all three for reduced cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your solutions against realistic serving workloads, such as long-context and agentic traffic.

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Our work spans model training, inference algorithms, and serving systems, aiming to reduce generation cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your ideas against realistic serving workloads, such as long-context and agentic traffic. Projects are designed to address key research questions in speculative decoding, leading to faster generation on frontier models, drafters that adapt to changing workloads, and robust evaluation under real traffic.

Pallet is building AI Agents to transform the physical economy, a $12 trillion global industry. We are seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customer teams to understand critical workflows, design integrations, debug production systems, and implement AI-powered solutions in complex environments. You will own deployments from discovery to launch, acting at the intersection of engineering, product, and customer operations, and will spend time with customers both remotely and onsite.

$135k - $180k

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Senior Research Scientist to join this dynamic team and contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$101k - $273k

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

Supabase is seeking a Python SDK Engineer to join their SDK team. This role focuses on enhancing how developers interact with Supabase through Python, ensuring the SDK is a library that Python developers genuinely enjoy using. You will work on building and evolving the Python SDK across various Supabase services, including database, auth, storage, realtime, and functions, with both synchronous and asynchronous APIs. The position involves proactive development, identifying and building missing features, and contributing to the open-source community. A key aspect of this role is owning the typing experience for the SDK, ensuring it's fully typed and checker-friendly, and maintaining compatibility across diverse Python environments and frameworks. You will also be responsible for tracking platform changes and reflecting them in the SDK, designing public APIs, and making the SDK legible to AI coding agents.

Snorkel AI is seeking Forward Deployed Researchers to partner with frontier AI labs on challenging data problems. This customer-facing role requires deep technical and research expertise to help design complex data and environments that enhance frontier model performance. You will act as a thought partner, working at the intersection of research, technical strategy, and customer collaboration. Your responsibilities will include scoping training data needs, designing RL environments, developing evaluation frameworks, analyzing model behavior, and translating customer objectives into technical plans.

$160k - $400k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k