Senior Ai Ml Architect Jobs

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Senior Backend Software Engineer for our Marketing Engineering & Platform (MEP) team in Brazil - Remote ! This is a Remote – Brazil position, meaning you can work from anywhere within the country . Please note that this role is only open to candidates in Brazil . You will join the B2B Acquisition squad , part of the Marketing Engineering & Platform (MEP) Focus Area inside Wellhub's Product Development organization . We own the entire SMB customer acquisition journey: from the initial lead capture and self-service buy flows, through pricing and dynamic quotation rules, to the final onboarding handover into Wellhub for Companies . Our domain operates on a polyglot, event-driven backend—primarily built with Kotlin/Spring Boot and Go communicating via Kafka , complemented by a GraphQL BFF and direct integrations into enterprise platforms like Salesforce, HubSpot, and Segment . In this role, you will partner daily with Product, Marketing, and Sales to build scalable architecture, optimize conversion funnels, and solve core business challenges with high autonomy . YOUR IMPACT Own critical SMB acquisition

Become a part of our caring community The Senior Cloud Services Engineer enables cloud technologies to provide optimal performance, continuity, and efficiency in virtualized, on-demand environments. The Senior Cloud Services Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Cloud Services Engineer utilizes software that manages and monitors networks, systems, and applications not only to guarantee performance within cloud software environments but also to orchestrate and automate the provisioning of resources. The associate begins to influence department strategy and makes decisions on moderately complex to complex issues regarding technical approaches for project components. Work is performed with minimal direction and considerable latitude is exercised in determining objectives and approaches to assignments. This role supports critical cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives while partnering across technical teams to deliver scalable, reliable, and secure solutions. The Senior Cloud Services Engineer also serves as a mentor to junior associates and contributes to continuous improvement efforts across the organization. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience 5 or more years of technical experience Must be passionate about contributing to an organization focused on continuously improving consumer experiences Experience working in a Salesforce environment Solid foundation of data engineering concepts, ETL, and distributed processing, particularly Databricks and Informatica Medium prog

Become a part of our caring community Humana’s Digital Health Platform (DHP) is the engineering platform behind many of Humana’s consumer digital experiences. DHP Product Engineering builds the shared pieces other Humana teams build on, including a micro-frontend catalog, accessibility tooling, and API foundations, and we build them with AI coding agents at the center of how we work. We are hiring a Senior Product Engineer who wants a say in what gets built as well as the craft of building it, from accessible interfaces to the services behind them. You will own features across the whole stack, and you decide the technical approach for the work you own. You use AI coding tools like Claude Code every day, and you help build the shared skills and tooling behind that workflow. We measure your work by the results it produces for Humana’s members and patients and for the teams who build on our platform. The Senior Product Engineer helps decide what we build, not just how we build it. This is a senior engineering role at its foundation. You design, develop, and deploy scalable web applications end to end, and you meet a high bar for engineering craft. You also own the product: you shape what we build, influence what goes on the roadmap, and are measured by the outcomes your work produces rather than the tickets you close. You explore before you commit, propose the work as often as you receive it, and sharpen requirements rather than simply implement them. You will build accessible user interfaces, implement robust back-end microservices, and integrate the two with GraphQL, all while exercising considerable latitude over technical approach. Strong product instinct here does not lower the engineering bar; it raises the overall one. Required Qualifications Bachelor’s degree in Computer Science or a related field 5 or more

The Senior .NET Application Developer - Assistant Vice President is an intermediate level position responsible for design, development, and maintaining responsive and user-friendly web interfaces using .NET Core MVC , ASP.NET, JavaScript , Bootstrap , and CSS in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Responsibilities: Design, develop, and maintain responsive and user-friendly web interfaces using .NET Core MVC , ASP .NET, JavaScript , Bootstrap

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. Come join the team and see how you can make a lasting impact on the world. Join our team in Santa Clara to lead engineers building rack-scale infrastructure software that makes complex hardware manageable and programmable. You will own delivery of control planes, lifecycle orchestration, system health, and recovery capabilities, working across hardware, firmware, networking, and operations teams to support customer deployments at rack and fleet scale. What you'll be doing: Take ownership for the delivery of rack-scale infrastructure software within a cross-functional organizational structure. Coordinate commitments, address ownership gaps, and stay accountable for results from requirements to production adoption and support. Translate business needs and evolving hardware roadmaps into release priorities and achievable plans. Balance staffing, dependencies, and technical risk across projects as priorities change. Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery. Guide engineering tradeoffs and ensure a consistently high standard for reliability, security, and maintainability. Build and develop the team through hiring, mentoring, and clear performance expectations. Grow technical leads and future managers, delegate impo

Become a part of our caring community We are looking for a highly motivated Senior Technology Leadership professional to join our IT Operations team. You will support the Lead of the Application Operations Center and Enterprise Post Production Validation teams, with a focus on process automation, innovation, and continuous improvement. You will work with both onshore and offshore resources, ensuring in daily tasks, enhancing application support, and driving improvements in monitoring and validation processes. Main Responsibilities: Collaborate with the Lead to provide operational and strategic support for Application Operations Center and Post Production Validation teams. Identify, evaluate, and implement automation opportunities to increase efficiency and reduce manual workload. Drive process innovation by recommending and deploying advanced tools and methodologies for application operations and validation activities. Analyze existing workflows and develop documentation for standard operating procedures and best practices. Oversee daily application support and monitoring activities to ensure system stability, performance, and reliability. Partner with onshore and offshore teams to coordinate task execution and promote consistent adoption of new processes and technologies. Develop and maintain dashboards and reports to track key performance indicators and present findings to leadership. Ensure automation and process improvements comply with organizational standards and regulatory requirements. Facilitate knowledge sharing, training sessions, and change management activities to support team development and successful project implementation. Engage with stakeholders to gather requirements, understand challenges, and communicate progress on automation initiatives. Ability to create

NVIDIA DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Unique Opportunities Lead the development of next-generation DRAM and LPDDR memory technologies that enable AI, mobile, automotive, and high-performance computing applications. Drive design innovation across memory sub-systems including array, datapath, sensing, repair, redundancy, IO, power management, and reliability features. Influence product architecture and technical roadmaps in collaboration with global engineering teams and technology leaders. Build and mentor a team of highly capable engineers while shaping the future design capabilities of the organization. Work closely with experts across design, modeling, layout, verification, product engineering, manufacturing, and system architecture. Lead adoption of advanced engineering methodologies, automation frameworks, and AI-enabled design workflows to accelerate development cycles and improve design quality. Help drive Micron's AI transformation through the practical application of Generative AI, Agentic AI, Large Language Models (LLMs), and data-driven engineering solutions. Responsibilities Define and drive strategic technical direction for memory circuit design activities across multiple projects and technology nodes. Build, lead, mentor, and develop a high-performing engineering team capable of delivering world-class memory products. Own execution, schedule, quality, and risk management for critical design deliverables. Partne

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

As a member of the HW Infrastructure Storage Strategy team, you will be the bridge between storage infrastructure and the chip design (e.g. NVIDIA GPUs and CPUs) workloads that depend on it. You will focus on going hands-on to understand how storage behavior impacts EDA (Electronic Design Automation) and HPC workload performance in general — and what to do about it. You’ll evaluate next-generation storage technologies, design POCs grounded in real workload profiles, uncover gaps in observability, and drive strategic decisions like data placement during datacenter transitions. This is a rare role where you’ll work at the intersection of storage systems and chip design workflows at a scale few companies reach — petabytes of active data, millions of files per job, and thousands of concurrent users. You’ll develop NVIDIA’s storage strategy and have a direct, measurable impact on engineering velocity. What you'll be doing: Lead storage technology evaluations — design and execute POCs for platforms such as NetApp, VAST, and others, using real EDA workload profiles to benchmark performance, metadata behavior, and compatibility Analyze how storage configurations and architecture choices impact EDA workload runtime in production, and recommend tuning or architectural changes to reduce job execution time Identify gaps in storage telemetry and observability — define what metrics are needed and how to correlate storage behavior with jobs running on the environment Support datacenter lifecycle programs — expansions, technology refreshes, and site exits — by mapping workload placement, identifying required data, and minimizing data replication scope Define storage policies and best practices — data lifecycle, tiering strategies, snapshot/clone workflows (e.g., FlexClone for EDA workspace branching), and capacity planning recommendations Collaborate with IT, EDA tool teams, EDA operations, and

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box's FinOps team provides visibility into cost and usage across public cloud, SaaS, and AI — equipping finance and executive leadership with the insights needed to make informed decisions, including those tied to earnings communications. As a Senior Software Engineer on this team, you will own the design and development of the systems behind this critical work. You will join a cross-functional team of software engineers, data engineers, site reliability engineers, and data scientists, reporting to a Senior Engineering Manager. This is a technical leadership position that blends hands-on engineering with broader organizational influence — building and operating forecasting, monitoring, and alerting systems while helping advance how

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Partner Solutions Architect, Strategic Partnerships, you'll own the technical strategy and validation of joint work with GitLab's strategic partners: hyperscalers, artificial intelligence (AI) labs, AI-native companies, and development, security, and operations (DevSecOps) vendors. You'll work with partners, Product, and Research and Development (R&D) to turn partner and customer needs into integrations, influence product design, and build the business case for each joint effort, from the first architecture review to a shipped integration. In this role you will also own the AI model evalua

About the Job: As a Senior Full Stack Engineer on LaunchDarkly’s AgentControl team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their agent’s functionality. LaunchDarkly’s AgentControl team is on a mission to manage the complete software development lifecycle for shipping agents to production, from configuring to benchmarking to observing and beyond. AgentControl enables teams to adjust agent behavior without needing a redeploy or code change, while also running experiments, monitoring agents in production, and putting guardrails around AI as usage scales. The product spans offline evals, real-time observability, prompt and workflow optimization, and decision-making around quality, accuracy, relevance, and cost. The AgentControl team has a huge opportunity ahead of it; it's a strategic bet for LaunchDarkly, and we need your help writing the next chapter in our story. Responsibilities: Build and maintain scalable backend services, distributed systems, and APIs that power the AgentControl product You’ll primarily work in Go, Python, and TypeScript and will work directly with other technologies and tools such as AWS, CockroachDB, Datadog, DeepEval, and FastAPI. Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform. Keep up to date with the latest developments in the AI field and in software development best practices Continuously optimize the performance, reliability, and scalability of our systems Drive architecture and design discussions, offering thoughtful input and collaborating with peer engineers to identify trade-offs and make well-informed decisions Take ownership of code in production, participate in on-call rotations, a

The Security Incident Response Team (SIRT) plays a vital role in keeping Datadog safe from cybersecurity threats, defending the organization against threat actors, and maintaining the trust of our customers by ensuring their data remains protected. In this role, you will work closely with teams across Datadog to identify, triage, and respond to a wide range of threats, ensuring that we can contain any incidents as quickly as possible. You will also contribute to the tools and systems that make us more effective in our mission, and help ensure we have cross-functional learning from incidents to improve our defensive posture going forward. 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: Partner with our Cyber Threat Intelligence and Detection Engineering teams to identify threats to Datadog and ensure we have appropriate, accurate, high-signal detections for those threats. Triage escalated alerts to determine whether a security incident is occurring or may occur imminently. Respond to security incidents, whether as an incident commander or as an incident responder Make us more efficient through building tools and automations that eliminate repetitive processes Help us improve our overall security posture through post-incident reviews, tabletop and purple team exercises, and process/runbook improvements. Participate in a light on-call rotation. Who You Are: You have at least 5 years of experience in security incident response, threat hunting, security operations, cloud security, or other operational security domains. You’ve worked with at least one public cloud platform (AWS, GCP, or Azure) and cloud-native technologies like Kubernetes, Docker, or Terraform. You have a strong understanding of cloud-native threat actor TTPs and corresponding defensive contr