Jobs in United States

Ai Architect in United States

5,309 active opportunities · Updated October 2026

Explore current ai architect jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -93.7%

$125K – $161K/yr

Quick readStrong listing-quality and freshness signals

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is building a world-class customer education function — and we're looking for the person who will own it. As Learning & Development Specialist, you'll be the architect of how Drata customers learn: designing the programs, building the certifications, and creating the infrastructure that helps thousands of security and compliance practitioners get value from Drata faster a

GitRestAIGo
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📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -83.9%

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is seeking a highly motivated and experienced VC Partnerships Manager to join our Startups Go To Market team. You will play a critical role in managing relationships with top venture capital funds and startup accelerators, with the goal of providing exceptional support to the portfolio companies of these funds. We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups across stages with resources that help them get started with OpenAI APIs and build quickly, and provide access to OpenAI teams, community, and expertise to support their growth. This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for forming and managing partnerships with top venture investors, accelerators, and other partners in the startup ecosystem, as well as working across the OpenAI organization to help startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, marketing, support, and solutions architecture to help customers get the most out of our models. This role is based in our San Francisco office. We use a hybrid work model

AWSRestAIGo
S
📍 Chicago, Illinois, United States· Full-time
✓ Quality checkedCompany trend -93.3%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is transforming the future of data and we are looking for a dynamic Sr. Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimize, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions including Artificial Intelligence (AI) and Generative AI (GenAI). As a Delivery Manager, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, oversee seamless transitions, and act as a strategic advisor to your customers. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A DELIVERY MANAGER AT SNOWFLAKE, YOU WILL: Lead, develop, and mentor a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimization, development and delivery experts Play an active role in sourcing and screening potential candidates and managing the interview process Be a technical expert on all aspects of Snowflake

PythonSQLAIRuby
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📍 United States· Full-time· Remote
✓ Quality checkedCompany trend -92.7%

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Financial Systems Engineer at Vanta, you will own the end-to-end health and evolution of the tech stack, data, and system integrations across our Procure to Pay and FP&A verticals, and be a technical lead for procurement, planning, and finance data systems. Vanta's Financial Systems function builds, maintains, and supports the tools that Vanta's Finance & Accounting operate on. The team builds scalable, integrated, and high value solutions that enable Finance, Accounting, and RevOps to move quickly without trading away accuracy or auditability. Vanta's Finance Systems team is early, and Procurement and FP&A have historically had little systems representation. That makes this a rare chance to own foundational decisions rather than inherit them. You will be helping implement our first CPM tool, re-architect Zip end-to-end, and help build the finance data layer in Snowflake that everything downstream will run on, with the autonomy to set the standards the team builds on as we scale. What you’ll do as a Senior Financial Systems Engineer at Vanta: Own the architecture, configuration, and operational health of Zip (P2P) including workflows, integrations, customizations, and agentic buildout Serve as the internal lead implementing Vanta's first CPM tool, working with an implementation partner, and owning the product post-launch Partner with Data/Analytics to design the Finance and Accounting data model in Snowflake, translating FP&A and Accounting requirements into data plans and SQL models Architect and maintain integrations between NetSuite and adjacent systems (Salesforce, Stripe, Anrok, Tesorio, Workato

SQLRestAIGo
NR
📍 Atlanta, Georgia, United States· Full-time
✓ High-confidence listingCompany trend -75%

From $120K/yr

Quick readStrong listing-quality and freshness signals

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Associate Technical Success Manager (TSM) is a high-impact role responsible for the complete post-sales technical journey and expansion architecture within our enterprise customer base. In this role, you will act as the customer's ultimate technical champion. You will drive platform adoption and consumption while leading the technical architecture for expansion motion. By bridging the gap between hands-on technical implementation and strategic business value, you will ensure our largest enterprise customers unlock the full power of the New Relic platform, driving both value realization and new consumption opportunities. What you'll do 1. Drive Onboarding, Adoption & Consumption Guide Customers to Committed Consumption: Work alongside customers during the onboarding process, understanding their needs and guiding them through best practices to ensure prompt achievement of committed usage levels. Manage Mutual Activity Plans: Design and execute Mutual Activity Plans (MAPs) tied directly to customer business outcomes. Set clear milestones, celebrate customer achievements, and proactively address any implementation hurdles. Maintain Consumption Levels: Proactively engage with customers to mitigate churn risks by continuously demonstrating platform value and addressing technical concerns. 2. Champion Technical Architecture & Expansion Value-Driven Storytelling: Deliver tailored, high-impact product demonstrations that move beyond "feature-function

PythonJavaNode.jsAWS
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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -93.7%

$135K – $207K/yr

Quick readStrong listing-quality and freshness signals

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: As Senior Platform Operations Manager, you will lead the strategy, execution, and optimization of our marketing technology ecosystem. You will architect, implement, and manage the systems and integrations that power our go-to-market (GTM) engine, with a sharp focus on scalability, data integrity, automation, and lead orchestration. This role is pivotal in ensuring that marketing, s

RestMachine LearningAIGo
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -12.7%

We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure they achieve various performance targets on NVIDIA platforms. In this role, you will augment NVIDIA's performance and benchmark teams with a dedicated CSP-facing focus. You will drive work streams with CSP engineering teams to build shared understanding of platform performance characteristics, gather and incorporate their workload-specific feedback into NVIDIA's optimization priorities, and validate that performance targets are met in customer-representative configurations. Your cross-CSP visibility enables you to identify patterns and drive systemic improvements in documentation, configuration guidance, and tooling. What you'll be doing: Drive performance characterization work streams with engineering teams of key CSP/hyperscale customers — ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads Gather and synthesize CSP performance feedback — identify gaps between expected and actual throughput, and champion optimization priorities back into NVIDIA's CUDA, NCCL, driver, and firmware teams Ensure key open-source performance and stress tools (e.g., STREAM, GPU Burn, GPU BLAST) are updated and validated for the latest NVIDIA rack-scale systems, GPU architectures, and CPU platforms — so customers and internal teams have reliable baseline measurements from day one Work closely with CSPs to ensure their own performance and validation tooling reflects the latest GPU capabilities, memory hierarchy changes, and platform-specific tuning parameters Conduct cross-CSP performance comparison and pattern analysis — identify configuration, software, or workload differences that explai

PythonArtificial IntelligenceAI
C
📍 United States· Remote
✓ Quality checkedCompany trend +340.2%

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a Principal Software Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond hands-on coding—you will define technical strategy, establish architectural standards, and guide multiple teams in building secure, scalable, and cost-effective AI platforms across AWS (Bedrock) and Google Cloud (Vertex AI API). You will partner with product, security, compliance, and enterprise architecture teams to ensure solutions meet business objectives, regulatory requirements, and performance goals. The ideal candidate combines deep technical expertise with leadership skills—capable of influencing cross-org architecture decisions, mentoring engineering teams, and driving responsible AI practices in production. Key Responsibilities Lead end-to-end platform delivery of highly scalable, secure AI services and applications leveraging AWS Bedrock (Foundation Models, Knowledge Bases, Agents, Guardrails) and Google Cloud Vertex AI (Gemini via Vertex AI API, Agent Builder, Vector Search, Search & Grounding) Architect and implement Retrieval-Augmented Generation (RAG) solutions, integrating proprietary data from sources like Amazon S3 and Google Cloud Storage/BigQuery, and using Bedrock Knowledge Bases and/or Vertex AI Search & Groundi

AWSAzureDockerKubernetes
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📍 Hazelwood, Macau S.a.r., United States
✓ Quality checkedCompany trend +32.9%

Experienced Simulation Software Engineer - Training Systems Company: The Boeing Company The Boeing Company is looking for an Experienced Simulation Software Engineer - Training Systems to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . The Government Training Team develops innovative simulation software solutions that advance pilot readiness and mission success. This Software Engineer role involves designing, architecting, and developing simulation models, virtual environments, and frameworks, while collaborating with stakeholders to optimize overall simulation performance. Responsibilities include simulation validation, integration, and modernization of legacy software within a secure Agile development environment. The role requires strong expertise in C++, with additional knowledge of Python, containerization, and cloud-based technologies. Familiarity with emerging software engineering methods and prior aviation or engineering experience are highly valued for contributing to this fast-paced, mission-focused team. At The Boeing Company, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Position Responsibilities: Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms, and frameworks to enhance test performance, safety, and durability of software and hardware throughout the entire product lifecycle Partners with stakeholders to identify simulation r

PythonAWSAzureDocker
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -12.7%

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent engineering manager to own and deliver an end to end manageability stack for Data Center Systems. We are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build OpenBMC based manageability software stack for NVIDIA’s next generation Data Center Compute Systems. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you’ll be doing: Own and deliver OpenBMC based manageability stack for next generation Data Center Compute Systems. Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. Manage and lead a distributed team of software engineers to deliver firmware stack with high quality. Work with data center architects and cloud customers for correct requirements and scope implementation to ensure speed of light product development. Work closely with cross functional teams to ensure scalable manageability architecture for all data centers products Drive efficiency, reliability and optimization in firmware architecture from a data center view point. Work closely with customers and internal teams to resolve issues at Speed of Light. What we need to see: BS, MS, or PhD in EE/CS or related field o

PythonGitAIProject Management
A
📍 Seattle, Washington, United States
✓ Quality checkedCompany trend -100%

Position summary: The Senior Security Engineer position will be part of the Enterprise Security organization consisting of IAM professionals across several technologies. This specific position will have a specialized role in directory services and SaaS applications! It will focus on large implementations of Entra ID with integrations with other directories, IDPs, applications, and automated workflows. We give technical direction, administer tools, and provide support for various security technologies. We participate in driving Enterprise Security projects that use our cloud directory services for various internal and external Adobe services. We work with other specialists, architects, security teams, and software engineer teams across Adobe and collectively provide services, guidance, and strategies that protect services and data as well as adhere to various global government regulations. You will work with business customers, management teams, infrastructure teams, development teams, project managers, and other security teams to help implement the vision, structure, standards, and plan solutions that support the future architecture. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists! You will also be surrounded by colleagues who are committed to helping each other grow through our Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe is the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. Primary Responsibilities May Include, but Are Not Limited To: Managing deep an

PythonAWSLinuxAI
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📍 Remote, United States· Remote
✓ Quality checkedCompany trend -12.7%

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers. Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, b

PythonKubernetesAI
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -12.7%

NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by extraordinary technology—and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world’s best talent! We are seeking a deeply technical Product Manager to shape the enterprise software stack for next-generation AI factories, built on NVIDIA’s industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises! What you'll be doing: Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry. Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market. Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA. Establis

KubernetesArtificial IntelligenceAI
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -12.7%

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as &#34;the AI computing company.&#34; We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. We are seeking an experienced senior leader with strong technical depth, broad system perspective, and a proven ability to lead large teams through complex product cycles. This role is onsite in Santa Clara, CA, USA. If you're creative and autonomous, we want to hear from you! What you'll be doing: Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems. Own HGX platform as a lead for Firmware and System software readiness working across the organization. Define and drive the long-term firmware roadmap, balancing architectural innovation with product execution and delivery milestones. Drive architecture strategy across BMC, MCU, platform software, manageability, health management, and data center firmware interfaces. <spa

PythonGitLinuxArtificial Intelligence
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -12.7%

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

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