Find your next AI Engineering role

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

Salesforce is seeking a Software Engineer to join the brand-new Software Factory team. This team is responsible for industrializing software development by building a platform that enables coding agents to perform real work on the company's codebase. The role involves creating remote sandboxes for agents to run builds safely, developing orchestration for agent tasks triggered from various platforms like Slack and GitHub, and implementing observability to ensure the trustworthiness of agent output at scale. The team's strategy is to leverage existing off-the-shelf coding agents rather than building their own, focusing on the surrounding factory infrastructure. As one of the first hires, you will have significant influence in shaping this platform from the ground up, working closely with the CTO on architecture, build-vs-buy decisions, and future priorities, while delivering value to internal customers from day one.

$173k - $314k

Salesforce is seeking a Software Engineer, Senior Member of Technical Staff (SMTS), to design, build, automate, and operate reliable, secure, and scalable cloud infrastructure and production platforms. This role involves collaborating with software engineers, infrastructure teams, security partners, and product teams to enhance service availability, deployment reliability, operational efficiency, and developer productivity. The ideal candidate will possess strong experience in software development, public cloud and cloud-native technologies, infrastructure automation, CI/CD, observability, and production operations, with a practical, AI-first approach to engineering. This is an engineering-focused development role where automation and software development are expected to replace repetitive manual operations, requiring a methodical approach to ambiguous infrastructure and production problems and an understanding of system behavior across application and infrastructure layers.

$149k - $224k

Accenture

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer (FDE) to work embedded within client organizations, collaborating closely with their security and engineering teams. This role focuses on making AI systems secure, governed, and resilient in complex production environments. You will be responsible for reducing attack surfaces, ensuring production-safe AI deployments, and measurably improving security posture. Agentic coding is the primary method of delivery, utilizing AI co-authoring tools to build security tooling, detection systems, threat models, and governance frameworks. You will operate as part of a small, outcome-oriented team within Accenture’s Reinvention Delivery Engine (RDE) Pod, working in 90-day delivery cycles to own end-to-end outcomes across build, deploy, and optimize phases.

$70k - $235k

Accenture

Accenture Flex is seeking a Business Process Architect to collaborate with Meta's Infrastructure Hardware organization. In this role, you will identify process gaps, streamline workflows, and drive operational improvements by leveraging AI and existing Meta tools. You will work closely with business teams to understand current procedures, pinpoint inefficiencies, and design and implement AI-enabled solutions aimed at boosting productivity, reducing manual effort, and establishing more scalable processes. The ideal candidate will possess a strong combination of business process analysis skills, practical AI knowledge, and a hands-on approach to solution implementation. A background in hardware is not a prerequisite for this position.

$76k - $86k

NVIDIA is seeking a Senior Performance Compiler Engineer to join their open-source Triton compiler project. This role focuses on improving AI performance on NVIDIA GPUs by leveraging compiler technology. You will work on cutting-edge AI applications, including large language models and agents, accelerating both training and inference. The position offers a collaborative and supportive environment to push the boundaries of AI computing.

$184k - $288k

NVIDIA is seeking a Senior Software Engineer to join their DGX Cloud / Fleet Intelligence team. This role involves building agent-side systems to collect critical data like GPU health, host telemetry, inventory, attestation evidence, and BMC data across NVIDIA's extensive GPU fleet. The position offers an opportunity to contribute to open-source software used by a wide range of users, from developers to operators and customers working with NVIDIA GPU infrastructure. You will be part of a diverse and supportive environment focused on innovation and defining the next era of computing powered by AI and GPUs.

$152k - $288k

NVIDIA's Customer Success Business Insights team is seeking a Customer Success Insights Engineer to drive platform adoption through data and AI-native analytical solutions. This role will focus on understanding how customers, partners, and developers engage with NVIDIA platforms and identifying opportunities to accelerate their success. You will be instrumental in surfacing key insights and building the analytical foundation to support these efforts.

$168k - $322k

NVIDIA is seeking a Senior Software Engineer to join the DriveOS Infrastructure and Tooling team. This role focuses on building the software platform for autonomous vehicles and intelligent machines, emphasizing AI-enabled automation and first-principles thinking. You will develop tools to help engineering teams deliver reliable software and evidence for product risk, integrating intelligent agents, automated reasoning, and data-driven insights into development workflows to enhance efficiency and product quality. The position involves designing and implementing automation systems, developer tooling, and dashboards, while also shaping infrastructure roadmaps and consolidating tooling initiatives across a globally distributed organization.

$184k - $357k

We are seeking a Senior Compiler Engineer to develop intelligent compiler technologies for NVIDIA's accelerated computing stack. This role involves working at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations. You will design and build advanced compiler and verification systems to enhance developer productivity, system performance, and correctness. This includes developing compiler-oriented agents and workflows, building numerical validation and verification infrastructure, and collaborating with NVIDIA's compiler, runtime, library, and hardware teams to integrate new capabilities into production tools and products.

$152k - $242k

Accenture

As a Senior Engineer in AI Infrastructure Architecture for Snowflake, you will own significant portions of the end-to-end architecture and engineering of optimized data and AI infrastructure for production machine learning and AI-enabled applications. You will design scalable warehouses, Snowpark workloads, AI-ready data/feature pipelines, model-enablement patterns, automation, and operational controls that align with client standards, SLAs, security, compliance, and cost-efficiency expectations. You will bring industry experience across enterprise AI adoption, platform modernization, regulated data workloads, FinOps, and production reliability, while mentoring engineers and partnering with architects to translate business requirements into robust Snowflake-based AI infrastructure solutions.

Accenture

Shape the future of enterprise AI by leading Knowledge Graph strategy, architecture, innovation, and delivery across our most complex programs. You will own how demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You will lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You will define what staying at the forefront means for the practice, drive innovation, and translate it into new offerings. You will set the standards for how ontologies are designed, evaluated, and maintained across programs, and make the case to senior stakeholders, shaping the methodologies and data architectures that prove value at scale. You will lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement, partnering with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.

Accenture

Accenture is seeking motivated students for its Data & AI Internship Program. This internship offers a unique opportunity to gain practical experience by working on challenging Data & AI solutions for business clients alongside experienced IT specialists. Interns will contribute to projects for both Polish and international clients across various sectors, including banking, finance, transport, energy, and industry. The program is designed to foster knowledge and skill development in a dynamic digital environment.

Accenture

Accenture is seeking a Principal Software Engineer to join their Software & Platform Engineering team. This role involves working hand-in-hand with clients to build great digital products, requiring experienced engineers who can both execute hands-on and lead others. The position offers opportunities to work on products used by millions across various sectors, with access to training and a global network of experts. The role emphasizes applying great engineering to achieve great outcomes, focusing on value, efficiency, and low complexity. Beyond client work, engineers contribute to internal communities, shaping tech conversations and sharing knowledge.

Accenture

We are seeking a Backend Engineering Lead to join our Technology Engineering & Analytics practice at The Dock, Accenture's R&D and Global Innovation Center. In this role, you will be instrumental in designing, building, and delivering next-generation solutions, from initial prototypes to scalable production systems. You will take a leading role in technical discussions, focusing on developing and maintaining robust, secure, and scalable products by building essential APIs, databases, and business logic. Additionally, you will serve as a technical mentor, guiding junior developers and improving team-wide technical quality through code reviews and knowledge sharing. Engaging directly with clients and stakeholders, you will translate requirements into practical solutions and collaborate closely with Design, Product, Data, and DevOps teams to deliver user-focused products.

Accenture

Accenture is seeking an experienced Platform Architect to design, evolve, and unify its core platform ecosystem. This role involves defining the technical strategy across three critical pillars: Application Runtime Platforms, Developer Platform (DevOps), and AI Platform. The architect will be responsible for establishing technical vision, standards, and roadmaps, and for architecting scalable, highly available systems. This includes designing container orchestration, service mesh, API gateways, and distributed messaging pipelines, as well as developing self-service internal developer platforms, CI/CD pipelines, and automated testing. The role also emphasizes institutionalizing Site Reliability Engineering (SRE) practices, chaos testing, and unified observability, while guiding platform engineering squads and mentoring senior engineers.

$133k - $302k

As a Principal Software Engineer, you will set the technical direction for NVIDIA's global Developer Compute platform, which encompasses AI agent sandboxes and virtual desktop infrastructure. You will architect and build services to provision, stream, secure, and operate cloud-hosted compute environments at a global scale across AWS and Azure. These environments are designed to support both AI agents and the people who work with them. Your role involves partnering with engineering, IT, and security leaders across NVIDIA to transform AI and end-user workflows into reliable, high-performance platform capabilities, defining how agents and people access compute at the forefront of AI.

$248k - $391k

Our team builds AI-driven software systems for Circuit Design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation. We are seeking an Applied Machine Learning Engineer to join our integral team in the Circuit Solutions Group. You will work within a multi-functional team on various projects involving pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and Spice correlation. This role involves researching and implementing frontier solutions in electronic design automation and building innovative agentic AI solutions for VLSI design problems. You will be responsible for analyzing problems and datasets, validating hypotheses, and designing and building models and algorithms to achieve desired quality of results.

$152k - $265k

Accenture

Accenture is a leading global professional services company that helps organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. We combine our strengths in technology and leadership in cloud, data, and AI with unmatched industry experience, functional expertise, and global delivery capabilities. Our broad range of services, solutions, and assets enable us to help clients reinvent and build trusted, lasting relationships, creating tangible value at speed and scale.

Accenture

As a Data Platform Engineer, you will contribute to the development and refinement of the data platform blueprint and design, ensuring all relevant components are effectively incorporated. This role requires close collaboration with Integration Architects and Data Architects to maintain seamless integration across various systems and data models. You will actively engage in aligning platform strategies with organizational goals, facilitating smooth data flow and interoperability, and supporting the overall architecture to meet evolving business needs.

Accenture

As a Data Platform Engineer, you will be instrumental in shaping the data platform's future by assisting with its blueprint and design, encompassing all relevant components. You will collaborate closely with Integration Architects and Data Architects to ensure seamless integration between various systems and data models. Your role involves refining and enhancing the overall data architecture, ensuring all components function harmoniously to meet organizational data needs and objectives throughout the data platform lifecycle.

Accenture

Accenture is a global professional services company that helps organizations build their digital core, optimize operations, and accelerate growth. We are a talent- and innovation-led company with a strong focus on technology, cloud, data, and AI. We combine our technological strengths with industry experience and global delivery capabilities to help clients reinvent themselves and build lasting relationships. Our success is measured by the value we create for our clients, employees, shareholders, partners, and communities.

Accenture

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Accenture

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Accenture

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Accenture

This role focuses on assisting with the data platform blueprint and design, encompassing relevant data platform components. The Data Platform Engineer will collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. The position involves understanding business requirements, data mappings, creating and maintaining data models through different stages using data modeling tools, and handing over physical design/DDL scripts for implementation. The role requires ensuring the performance and quality of deliverables, driving discussions with client teams to understand business needs, and developing data models that fit those requirements. It also includes driving discovery activities, design workshops, creating data modeling deliverables, and supporting solution blueprint development, scoping, and estimation.

Accenture

We are seeking an experienced Large Language Model Architect to join our AI LLM Technology Architecture team. This hands-on engineering role focuses on designing, building, integrating, testing, and operationalizing enterprise-grade LLM, GenAI, and agentic AI components for client engagements. You will own platform-specific engineering on Snowflake, translating high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations. Bringing practical industry experience, you will identify domain data, process constraints, and adoption risks while designing safe, scalable, and relevant GenAI solutions. As a technical lead, you will contribute code, design decisions, reusable patterns, and engineering documentation.

Accenture

We are seeking a Large Language Model Architect to design and build enterprise-grade LLM, GenAI, and agentic AI components for client engagements. This hands-on engineering role involves translating high-level architecture into production-quality code, focusing on LLM-driven applications, RAG pipelines, and multi-agent workflows. You will leverage practical industry experience to identify domain data, process constraints, and risks, ensuring GenAI solutions are safe, scalable, and relevant. As a technical lead, you will contribute code, design decisions, reusable patterns, and documentation.

Accenture

We are seeking a Large Language Model Architect to design and build enterprise-grade LLM, GenAI, and agentic AI components for client engagements. This hands-on engineering role involves translating high-level architecture into production-quality code, focusing on LLM-driven applications, RAG pipelines, and multi-agent workflows. You will leverage practical industry experience to identify domain data, process constraints, and risks, ensuring GenAI solutions are safe, scalable, and relevant. As a technical lead, you will contribute code, design decisions, reusable patterns, and documentation.

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

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

We are seeking an AI Infrastructure Architect to design and build custom AI infrastructure and hardware solutions. This role involves optimizing the performance, power consumption, cost, and scalability of the computational stack. You will also advise on AI infrastructure technology, vendor evaluation, selection, and full-stack integration. The ideal candidate will serve as the definitive technical authority for end-to-end AI architecture, owning the complete AI platform architecture across various AI domains. You will operate at an executive level, translating business goals into a technical vision and implementation roadmap, and bringing practical industry experience to ensure AI architectures meet domain realities and regulatory expectations.

Accenture

We are seeking an experienced Large Language Model Architect to join our AI LLM Technology Architecture team. This hands-on engineering role focuses on designing, building, integrating, testing, and operationalizing enterprise-grade LLM, GenAI, and agentic AI components for client engagements. You will own platform-specific engineering on Snowflake, translating high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations. Bringing practical industry experience, you will identify domain data, process constraints, and adoption risks while designing safe, scalable, and relevant GenAI solutions. As a technical lead, you will contribute code, design decisions, reusable patterns, and engineering documentation.

Accenture

We are seeking a Large Language Model Architect to design and build enterprise-grade LLM, GenAI, and agentic AI components for client engagements. This hands-on engineering role involves translating high-level architecture into production-quality code, focusing on LLM-driven applications, RAG pipelines, and multi-agent workflows. You will leverage practical industry experience to identify domain data, process constraints, and risks, ensuring GenAI solutions are safe, scalable, and relevant. As a technical lead, you will contribute code, design decisions, reusable patterns, and documentation.

Accenture

As a Technical Architect in AI Infrastructure Architecture, you will act as a senior technical authority for AWS-based AI/ML compute infrastructure, shaping the technical vision, reference architecture, standards, and implementation strategy for large-scale AI systems. You will evaluate complex choices across compute, networking, storage, orchestration, model serving, observability, security, and cost optimization, while guiding senior and lead architects to deliver resilient, scalable, and production-ready AI infrastructure. You will bring industry experience across enterprise AI adoption, compliance, reliability, FinOps, and platform modernization to help clients translate AI infrastructure trade-offs into measurable business value.

Accenture

We are seeking a Large Language Model Architect to lead the technical vision and implementation of end-to-end AI architecture on Snowflake. This role involves owning the complete AI platform, encompassing classical machine learning, generative AI, LLM applications, RAG, agentic systems, and more. You will operate at an executive level, translating business goals into a coherent technical strategy and a phased AI implementation roadmap. Practical industry experience is crucial to ensure AI architectures address domain realities, regulatory expectations, and measurable business outcomes. You will also lead and integrate work across multiple domain architects and subject matter specialists, ensuring the overall AI solution is cohesive and enterprise-ready.

Accenture

We are seeking an experienced Large Language Model Architect to join our AI LLM Technology Architecture team. This hands-on engineering role focuses on designing, building, integrating, testing, and operationalizing enterprise-grade LLM, GenAI, and agentic AI components for client engagements. You will own platform-specific engineering on Snowflake, translating high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations. Bringing practical industry experience, you will identify domain data, process constraints, and risks to design safe, scalable, and relevant GenAI solutions. As a technical or engineering lead, you will contribute code, design decisions, reusable patterns, and documentation.

Accenture

We are seeking an experienced Large Language Model Architect to join our AI LLM Technology Architecture team. This hands-on engineering role focuses on designing, building, integrating, testing, and operationalizing enterprise-grade LLM, GenAI, and agentic AI components for client engagements. You will own platform-specific engineering on Snowflake, translating high-level architecture into production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows, and AI platform integrations. Bringing practical industry experience, you will identify domain data, process constraints, and adoption risks while designing safe, scalable, and relevant GenAI solutions. As a technical lead, you will contribute code, design decisions, reusable patterns, and engineering documentation.

Accenture

We are seeking a Large Language Model Architect to design and build advanced AI solutions. This role involves architecting large language models capable of processing and generating natural language, including designing neural network parameters trained on extensive unlabeled text data. You will own the complete AI platform architecture, integrating classical machine learning, generative AI, LLM applications, RAG, and agentic systems. This position requires operating at an executive and senior stakeholder level, translating business goals into a coherent technical vision and a sequenced AI implementation roadmap. Practical industry experience is essential to ensure AI architectures address domain realities, regulatory expectations, security constraints, and measurable business outcomes.

Accenture

We are seeking a Large Language Model Architect to design and build enterprise-grade LLM, GenAI, and agentic AI components for client engagements. This hands-on engineering role involves translating high-level architecture into production-quality code, focusing on LLM-driven applications, RAG pipelines, and multi-agent workflows. You will leverage practical industry experience to identify domain data, process constraints, and risks, ensuring GenAI solutions are safe, scalable, and relevant. As a technical lead, you will contribute code, design decisions, reusable patterns, and documentation.