Technical Architect Ai Ml Jobs

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. At Micron Technology, our vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we accelerate the transformation of data into intelligence—empowering the world to learn, communicate, and advance faster than ever. Join us and discover why Micron’s Global Procurement team is the preferred destination to unleash your talent. We are seeking a motivated SAP S/4HANA Product Manager based in Hyderabad, India for Procurement’s S/4HANA implementation. This high-impact role requires strong stakeholder engagement, technical fluency, and a passion for innovation. You will drive alignment between business needs and IT delivery, participate in blueprinting workshops, and collaborate across functions to deliver scalable, future-ready solutions. Key Responsibilities Define and own the Procurement product roadmap within SAP S/4HANA, translating strategic vision into actionable plans and sprint deliverables. Lead blueprinting workshops with business and IT stakeholders, ensuring requirements are captured, validated, and prioritized based on business value. Align product delivery with Micron’s enterprise architecture and transformation objectives. Collaborate with global procurement, IT, finance, and supply chain teams to support legacy system integration and transition planning. Coordinate cross-functional execution of product features and integrations, ensuring

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Build and scale resilient, low-latency enterprise network infrastructure across LAN, WAN, WLAN, and data center networks to support critical business systems Configure, monitor, and troubleshoot routing and switching platforms Operate and maintain Palo Alto Networks firewalls, managing security policies, VPNs, and software upgrades Administer and troubleshoot enterprise load balancers to ensure application availability Design, deploy, and support enterprise wireless infrastructure, including access points, controllers, and authentication services Respond to network incidents, perform root cause analysis, and drive timely resolution in a production, high-availability environment Implement and maintain network automation and tooling using scripting languages and vendor APIs to reduce manual work and increase reliability Monitor network performance and capacity, proactively identify trends, and remediate issues before they impact users Participate in network upgrade

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Lead delivery of best-in-class end-user technology services across the firm, shaping the support model and directly improving the client experience Build and operate hands-on support for PCs, laptops, video conferencing solutions, mobile devices, and collaboration tools to enable high-performance teams Troubleshoot and resolve complex hardware, software, and connectivity issues with urgency, clear communication, and client-focused outcomes Develop and deliver training, documentation, and knowledge articles to increase technology adoption and client self-sufficiency Automate repetitive operational tasks and implement scripting solutions to improve reliability and reduce mean time to resolution Manage small and large-scale technology projects by producing written project plans, coordinating resources, and delivering timely status reports Partner with vendors and on-site service providers to establish service levels, coordinate escalations, and drive resoluti

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Who We Are: Roblox is reimagining the way people come together to connect, create, and express themselves. To support our massive scale, we are powered by thousands of microservices. The Application Networking team connects and secures these services, building ingress gateways, managing the service mesh, and enabling seamless communication across Roblox’s hybrid on-prem and cloud infrastructure. We are executing on Cloud Bursting, a strategic initiative to enable Roblox’s core services to transparently burst from on-prem data centers to the cloud, allowing us to handle historical peak concurrent players and survive regional failures. You will join our Service Mesh team to build the networking fabric that makes this possible. You Will: Design and build the service mesh infrastructure that enables communication across Roblox’s hybrid Kubernetes and Nomad environments, supporting billions of daily requests. Drive the integration of service mesh with Kubernetes, ensuring reliable sidecar injection, mTLS, traffic policies, and observability for production workloads. Build the networking foundation for Cloud Bursting, enabling Roblox’s top services to transparently burst from on-pre

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Security Software Engineer on the IAM team at Roblox, you'll build the next generation of identity and access management — defining how both humans and AI agents get identity, authenticate, and receive access to Roblox's production infrastructure. As AI agents become first-class actors in our systems, you'll design the tooling and policy that governs what they can do, how they prove who they are, and how we keep that access safe at scale. You'll also continue to evolve our workload authentication, privileged access management, and secure "golden path" for developers. Your work will directly shape the security posture of our entire production environment and set the standard for agentic IAM across the industry. You will: Design Identity and Access for AI Agents: You will define how AI agents get credentials, receive scoped permissions, and have their sessions managed throughout their lifecycle — pioneering the patterns for agentic identity in production. Engineer Hybrid Production IAM at Scale: You will design and implement scalable IAM solutions for Roblox's hybrid production environment, spanning on-premises and cloud infrastructure, ensuring secure and efficient access for hum

About the Role: Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office three days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or reco

Position Overview We are seeking a Senior Manager, Marketing Operations to own the systems, workflows, documentation, and automation needed to make Marketing Operations more scalable, reliable, and AI-enabled. This role will help modernize how Marketing Ops works by improving marketing systems governance, reducing process and technical debt, and identifying practical opportunities to simplify or automate manual GTM workflows. The ideal candidate brings deep hands-on experience with marketing automation, data quality, workflow design, and cross functional GTM operations. They should be comfortable working across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to improve how GTM work gets done. This includes clarifying ownership, improving documentation, reducing manual work, and building more scalable systems and workflows. Key Responsibilities Own governance, documentation, and operational health for core marketing systems, including Marketo and adjacent GTM tools. Identify and reduce technical debt across marketing-owned systems, integrations, workflows, field/process governance, and recurring operational processes. Build and manage a Marketing Ops systems and automation roadmap focused on improving speed, quality, consistency, and team capacity. Establish clear operating standards for marketing systems and workflow requests, including intake, prioritization, documentation, ownership, escalation paths, and change management. Partner across Marketing, Sales, Sales Ops, Web, and internal systems/data teams to clarify ownership, requirements, and handoffs for shared GTM workflows, including enrichment, routing, lifecycle processes, data quality, and CRM handoffs. Triage systems and workflow issues, identify root causes, and coordinate resolution with the right owners. Identify high-friction manual workflows that can be simplified, a

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Role We are seeking a visionary, strategic, and highly technical VP of Product for Identity Management to lead two of our fastest-growing and most critical strategic pillars: Okta Identity Governance (OIG) and Okta Privileged Access (OPA). As the VP of Product, you will own the end-to-end product strategy, roadmap, and execution for our modern Workforce Identity Cloud governance and privileged access solutions. You will lead a high-performing team of product managers, collaborating closely with engineering, design, marketing, and sales to redefine how enterprises manage identity lifecycle, compliance, and high-risk access in a cloud-first world. Key Responsibilities Product Vision & Strategy: Define and execute the multi-year product strategy for OIG and OPA. Position Okta as the dominant leader in unified Identity Governance and Administration (IGA) and Privileged Access Management (PAM). Team Leadership: Recruit, mentor, and inspire a world-class team of Product Managers. Foster a culture of high ownership, accountability, and user-centric design. Execution & Delivery: Work hand-in-hand with Engineering leadership to deliver scalable, secure, and intuitive enterprise-grade products. Maintain a rigorous focus on speed-to-market without sacrificing quality. Market & Customer Insights: Spend time with Fortune 500 CISOs, IT leaders, and industry analysts (Gartner, Forrester) to deeply understand market trends, regulatory compliance need

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Implementation Engineer As an Implementation Engineer at Adyen, you will help global businesses design, build, and launch scalable payment integrations that power how they operate and grow. You’ll work closely with merchants to translate their business needs into reliable, scalable payment solutions that support their expansion across markets, channels, and products. This position is based in Mexico City, and the ideal candidate is both consultative and technical. We are looking for technical consultants with a solid foundation in APIs and web technologies who are ready to take responsibility for real customer projects early in their careers. You will take responsibility for integrations end-to-end while continuing to grow your technical depth and client-facing skills in a fast-moving, collaborative environment. This role is also a great fit for people transitioning from technical support, consulting, QA, or client-facing roles into a more technical, high-impact, autonomous path. What you’ll do: Guide end-to-end implementation projects, supporting merchants as they launch and scale their payment integrations. Design and help merchants build scalable API-based integration solutions from solution design through to go-live. Act as a trusted technical partner during the integration journey, helping merchants navigate technical and opera

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Role We are hiring an experienced Senior Manager of Community Marketing to develop and launch Adyen’s first community programs. This hybrid role will be based in our San Francisco office, and reporting to the VP of Marketing, North America. This role is all about creating thoughtful experiences that build long-term trust and turn our customers into our strongest growth engine. As our first community marketer, you will create the vision and strategy for community marketing in North America, and will execute events and programs from end-to-end. You’ll partner with a group of cross-functional stakeholders (like marketing, strategy, sales, and account management teams) to make it happen. This is a unique opportunity to be the first in the role, build for the North America market, and create the global standard for how community marketing is done at Adyen. What You'll Do Develop the strategy for our first-ever community marketing program in North America. You’ll define our community vision, audience segmentation, program pillars, success metrics, and multi-year roadmap. Execute member engagement programs from end-to-end such as curated events (owned and sponsored), regional meetups, webinars, and user groups. Own community communications - Develop member-facing communications that drive awareness, engagement, and connection acr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale. The Reliability team at Roblox operates at the depth and breadth of the Roblox stack. Availability of the platform is a key company goal. We are hiring our first Senior Machine Learning engineer within our team. As a Senior Machine Learning Engineer within Reliability, you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform. You will own the architectural and execution roadmap of leveraging massive data across - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR). You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. Improve r

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the role: As a Senior Software Engineer working on the Appian platform, your mission will be to ensure Appian is always fast, scalable and up to whatever tasks our customers configure it to do. You will be focused on designing, developing, and maintaining complex software systems while providing technical leadership and mentorship and building a product capable of serving our customers in ways you never imagined. This role includes not just deep coding expertise, but also a focus on system orchestration, using AI Tools and AI integration (like RAG, agentic workflows, MCP), and aligning technical decisions with business strategy. Key Responsibilities The SSE isn't just "faster at coding"—they are responsible for the health of the entire codebase and the growth of the team. Code Quality & Standards: Set and enforce the "gold standard" for clean, maintainable, and well-documented code across the repository. Architecture & Design: Leading high-level design sessions, choosing architectural patterns (Microservices, Serverless, Event-driven), and ensuring systems are scalable and secure. Developer Enablement: Create internal tooling and "Golden Paths" that abstract away the complexity of underlying infrastructure for feature teams. Technical Leadership: Mentoring junior engineers, conducting rigorous code reviews, , setting the "gold standard" for clean, maintainable, and well-documented code across the repository. Project Ownership: Driving features from requirement analysis through depl