Artificial Intelligence Developer in United States

About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Build intuitive experiences that help users discover, install, and use plugins to get more done. Make plugins easier to create, test, publish, update, and share. Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. Improve plugin reliability and interaction quality acros

We’re looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. What you'll be doing: You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s). Define product, technical vision and architecture Develop platform s

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to define and lead the strategy, roadmap, operating model, and growth of OpenAI’s B2B marketplace. You will build the scalable foundation through which customers discover, evaluate, adopt, and manage trusted third-party solutions built on and with OpenAI’s models. About the Role You are a senior marketplace and ecosystem leader with strong judgment, high ownership, and a track record of building scaled B2B platforms. You are comfortable moving between product design, commercial strategy, ecosystem development, and operations, and you can create clarity where there is no playbook. You bring the credibility to align senior internal and external stakeholders while moving quickly and executing at a high bar. Key Responsibilities Define the vision, strategy, roadmap, and success metrics for OpenAI’s marketplace. Own marketplace business performance across partner supply, customer demand, adoption, transaction volume, partner success, solution quality, and customer trust. Partner closely with product and engineering to shape discovery, listing, evaluation, procurement, billing, deployment, identity, governance, security, and measurement capabilities. Build a high-quality ecosystem of ISVs, developers, service providers, and other third-party solution partners. Design marketplace commercial models, policies, incentives, and partner economics with finance, legal, security, policy, and operations. Create scalable go-to-market motions across sales, co-sell, private offers, marketing, and customer success. Establish standards for solution quality, safety, compliance, performance, and lifecycle management. Build and lead the marketplace team and operating cadence, aligning cross-functional owners against clear priorities and outcomes. Qualifications 15+ years of experience in marketplaces, platforms, ecosystems, product, partnerships,

About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The API Platform turns frontier research into reliable capabilities that developers use to build transformative products and services for people around the world. API Safety's goal is to ensure safe deployment of frontier models in the API. We design APIs and systems that help developers share usage context, understand safety events, and apply safeguards tailored to the risk profile of the applications they are building. This work is critical to our frontier model launches and partners closely with teams across API, Integrity, and Safety Research. About the Role We're looking for product-minded software engineers to join a team that is addressing emerging risks at the frontier of model development while building novel solutions for real-world AI deployment. The day-to-day work ranges from solving production challenges to designing new product experiences and safeguards. The right candidate is comfortable balancing tradeoffs across developer experience, latency, reliability, and risk. In this role, you will: Design and build dashboards and APIs for safety controls and customer-facing observability. Develop scalable systems that extend trusted safety capabilities to new use cases, customers, and deployment environments. Partner with Safety Research and Integrity to build safeguards that mitigate emerging risks. Be responsible for the availability, latency, and scalability of safeguards across high-volume API traffic. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. Strong s

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models. Key Responsibilities Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges. Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . Build and optimize RAG systems , including hybrid search, multi-vector retrieval, and re-ranking pipelines. Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains. Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer. Design robust agent harnesses — governance, constraints, feedback loops, state/session management, and

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Recommended Qualifications: 6+ years of relevant experience in Apps Development or systems analysis role Extensive exp

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

The Applications Development Technology Lead Analyst is a senior level position responsible for building robust, high-performance, large-scale applications. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: * Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements * Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards * Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint * Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation * Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals * Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions * Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * 5 to 8 years of relevant experience in Apps Development or systems analysis role * Extensive experience system analysis and in programming of software applications * Hands-on experience in

The Applications Development Technology Lead Analyst is a senior level position responsible for building robust, high-performance, large-scale applications. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: * Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements * Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards * Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint * Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation * Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals * Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions * Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * 6 to 9 years of relevant experience in Apps Development or systems analysis role * Extensive experience system analysis and in programming of software applications * Hands-on experience in

The Applications Development Technology Lead Analyst is a senior level position responsible for building robust, high-performance, large-scale applications. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: * Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements * Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards * Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint * Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation * Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals * Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions * Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * 5-8 years of relevant experience in Apps Development or systems analysis role * Extensive experience system analysis and in programming of software applications * Hands-on experience in We

The Applications Development Technology Senior Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Lead the architecture, design, development, and delivery of enterprise UI applications. Strong hands-on experience with Angular and Ext JS for developing scalable and responsive user interfaces. Strong experience with Java and Spring Boot for designing and developing backend services and APIs. Experience deploying, supporting, and troubleshooting applications in ECS/containerized environments . Define application architecture, technical standards, reusable components, and development best practices. Provide technical leadership to development teams, including design reviews, code reviews, performance optimization, and troubleshooting . Strong understanding of CI/CD pipelines , including automated build, testing, deployment, and release processes. Hands-on experience with GitHub , including source-code management, branching strategies, pull requests, code reviews, and integration with CI/CD pipelines. Strong knowledge of open-source technologies and frameworks , with hands-on implementation experience. Ability to evaluate and select appropriate open-source libraries, frameworks, and tools , considering security, licensing, maintainability, vulnerabilities, and enterprise standards. Drive application modernization, technical improvements, and adoption of engineering best practices. Work closely with architects, developers, infrastructure teams, product owners, and business stakeholders to deliver solutions successfully. Prov

About us Graphcore is one of the world’s leading innovators in artificial intelligence compute. We are developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and support the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world’s most transformative technologies. Together, we share a bold vision to enable advanced artificial intelligence and ensure its benefits are accessible to everyone. Graphcore brings together AI researchers, silicon designers, software engineers and systems architects to solve complex technical challenges and deliver innovative computing solutions. Job Summary The Principal Electrical Engineer will be a technical authority within Data Center Engineering, leading the architecture and delivery of safe, resilient and scalable electrical infrastructure for high-density AI computing environments. Working with internal teams, data center developers, utilities, consultants and equipment partners, this role will guide projects from early technical studies through design, construction, commissioning, operation and lifecycle improvement. The successful candidate must reside in, or be willing to relocate to, Austin, Texas. Approximately 10% travel may be required. The Team The Data Center Engineering team is responsible for defining and enabling the infrastructure needed to deploy and operate Graphcore’s computing systems at scale. The team works across electrical, mechanical, thermal, controls, systems and operational disciplines, collaborating with external engineering and construction partners to deliver reliable, efficient and maintainable data center environments. Responsibilities and Duties Act as the technical authority for electrical engineering across data center infrastructure projects, from the utility or on-site power source through to the IT rack. Lead electrical archit