Ai Application Packaging Engineer in United States

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. Role Overview At Snowflake, we are powering the era of the agentic enterprise. We are looking for AI-native builders and operators who use AI as a core part of how they think, learn, and execute. The Startup Business Development Lead will be a key member of the Snowflake for Startups team, responsible for identifying, engaging, and growing relationships with the most strategic AI-native startups. This person will work across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering to help high-potential startups build with Snowflake and accelerate adoption of Snowflake AI. This role requires a rare combination of startup ecosystem credibility, business development judgment, and practical understanding of modern AI application architectures. The ideal candidate can engage founders on both business value and technical direction, and can translate Snowflake’s AI platform into compelling growth opportunities for startup partners. This is an individual contributor role and will be accountable for building a high-quality pipeline of AI-native startup opportunities, increasing activation and adoption of Snowflake AI products, and driving long-term consumption growth from strategic startup partners. Key Responsibilities Build and grow relationships with high-

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments. In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance. The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and infe

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. Own a

Role Overview The AI Implementation Lead is a role within the COO organization responsible for driving the adoption and practical application of AI capabilities across the Corporate Enablement Capabilities (CEC) function. This individual will leverage functional expertise and emerging AI capabilities to identify and prioritize opportunities, connect and scale proven AI solutions, promote AI adoption across the organization, and establish the governance and foundational capabilities required for sustainable execution. The successful candidate will be accountable for the end-to-end lifecycle of AI initiatives, from opportunity identification and prioritization through implementation, adoption, and value realization. This role is pivotal in shaping the future of the CEC function by embedding intelligence, automation, and Responsible AI practices into core functional processes. While this role will report to Citi’s Head of Procurement and Third-Party Management, a member of the CEC leadership team, and will work closely with all members of the CEC leadership with active engagement across CEC senior process leaders, senior AI stakeholders and technology partners. Key Responsibilities 1. Leverage Functional Knowledge & Emerging External AI Capabilities Identify, assess, and prioritize AI opportunities across the functional organization Build understanding of functional processes, pain points, and emerging AI capabilities to connect business needs with practical solutions Parter with internal function heads to establish ideation sessions and working forums to surface use cases and drive engagement Help refine and mature opportunities for evaluation, sponsorship, and execution 2. Connect & Scale Proven AI Solutions Identify common patterns of work across functional teams and opportunities to leverage existing

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Are you a curiosity driven technologist who can quickly understand how an AI system works, identify where it could be misused or fail, and help a team find a practical path forward? Sony Interactive Entertainment is seeking a Senior AI Security Risk Analyst to provide hands-on security support for AI systems, agents, workflows, tools, and integrations across SIE. Role Summary: In this role, you will operate at the intersection of modern AI technology, security risk, architecture, and enablement. You will conduct AI security reviews using SIE’s established security risk assessment methodology, policies, standards, and control expectations, adapting their application to AI-enabled and agentic systems and identifying where AI-specific guidance or controls are needed. You will coordinate risk-focused design and architecture input and translate AI-specific weaknesses into decision-ready recommendations and engineering actions. You will serve as an approachable security partner, working cross-functionally with teams across SIE’s business units and functions to support a diverse range of AI use cases, systems, and technologies. You will work especially closely with Responsible AI & Governance and coordinate expertise across Information Security teams and IT &amp

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Risk Operations Technology Enablement team sits within the Risk Operations org and is responsible for partnering across Risk teams to shape the technical infrastructure that enables us to scale our Risk operations and achieve our dual goals of preventing bad actors from exploiting Stripe’s systems and delivering an exceptional user experience for legitimate users. More specifically, our team partners with Risk product and engineering teams to identify, scope, prioritize, pilot, and roll out technical infrastructure and tooling improvements to protect Stripe and serve our users. From the application of AI to our reviews, to agent diagnostic and resolution tools, to review and support case routing, to our user-facing risk support surfaces, our team’s mandate is expansive and a major lever in both protecting Stripe and its users from risk as well as improving the user experience. What you’ll do You’ll lead and develop a high-performing team of Engineering Program Managers who deliver technical programs with step-change impact for Stripe. You’ll build strong partnerships and operating mechanisms with Risk Engineering and Product, co-develop the strategy for Risk’s technical infrastructure grounded in a deep understanding of the Risk technology stack, and own mission-critical technical processes (e.g., Risk Ops tooling-stack prioritization). Responsibilities Shape and drive alignment on Risk Operations’ technical strategy that enables us

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. Guide long-term strategy and technical direction for GenAI workflows across APM and related products. Build and benchmark GenAI/ML models using state-of-the-art techniques. Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, sc

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

As a Staff Application Security Engineer at Datadog, you'll set technical direction for how we approach application security at scale. You'll define the frameworks, methodologies, and architectural patterns that engineering teams across Datadog adopt and apply independently. You're the person others come to when they don't know how to make something secure, and you reliably have an answer. You'll be a point of contact for our most complex security programs, often spanning multiple teams and multiple quarters. The role requires both depth (going very deep on specific problems when needed) and breadth (recognizing patterns across systems and drawing connections that others miss). Partnering closely with teams inside and outside the security org is key to success. You'll help shape the AppSec roadmap and make the case for where investment should go. We use our own platform. Logs, Dashboards, Service Catalog, and APM aren't just things we sell: they're tools the AppSec team uses to build security services, measure adoption of secure defaults, and communicate risk across the organization. AI is also part of the picture. Engineering at Datadog increasingly uses agentic tooling throughout the development lifecycle, and many of the products we ship to customers now include AI-powered features. Both create new attack surfaces, and defining our strategy for addressing them is part of this role. If using Datadog to observe Datadog's own security posture, building impactful tooling, and shaping how we secure AI-powered systems sounds like the right kind of problem, this role is worth a close look. What You’ll Do: Define and drive security standards and secure-by-default solutions, serving as the Application Security subject matter expert. Build security tooling and automation that scales security practices across engineering teams, and implement robust security observability to support our threat detection team with meaningful, actionable security signals. Lead threat mod

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in mee

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Intel's Foundry Automation (IFA) team is hiring a Software Application Development Engineer. As part of our team, you will partner with end users in Fab Manufacturing and Engineering to deliver innovative solutions specially crafted for the ever-changing needs of our highly automated factories. To integrate these solutions, you will work closely with our Software Development teams and execute testing, implementation, troubleshooting and documentation of business processes. You will work at the intersection of software engineering and advanced manufacturing, collaborating with cross-functional teams to analyze business processes, gather requirements, implement software releases, and drive continuous improvement. This is a unique opportunity to make a direct and meaningful impact on Intel's 24/7 manufacturing capabilities while growing your technical expertise in a dynamic, fast-paced environment. Key Responsibilities: Collaborate with internal customers and partners to identify emerging data and business needs, and translate those needs into effective software solutions Analyze existing manufacturing processes and procedures to identify opportunities for optimization and improvement Gather and document business and technical requirements from stakeholders across Fab Manufacturing and Engineering Execute the im

Location: Remote Orca is expanding into new product verticals, bringing a new class of regulated assets on-chain with the compliance infrastructure and liquidity primitives to make them actually work. Our ambition reaches beyond becoming the leading provider of financial primitives in crypto—we aim to reshape the foundation of finance itself. If you are someone who is tired of just working another job and wants to build something meaningful, then we invite you to join our team. We’re always looking for talented individuals to join our growing team. If you think your skills can contribute to Orca's mission, but don’t see a specific role that matches your expertise in our current open positions, we’d love to hear from you. By submitting your resume here, you’ll be considered for future opportunities that align with your background and interests. If there’s a potential fit for an existing or upcoming opportunity, our team will get in touch. While we’d love to respond to everyone, we’re unfortunately unable to provide individual updates on all open applications. What Orca offers Competitive Salary. Bonus AND Token allocation. Flexible work schedule. Home office stipend. Wellness stipend. Opportunity to co-work with the team multiple times a year from at different locations around the world, fully covered by Orca. Option to work remotely or from Orca’s office in New York City. Paid subscriptions to GitHub Copilot, ChatGPT, or other tools that make you more productive. About: https://orca.so Twitter: https://x.com/orca_so Discord: https://discord.orca.so Podcast: https://orcapod.orca.so Orca is an equal opportunity employer.

We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equiva

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially agentic on