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Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation , technical excellence, and continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine learning, including production-scale deployments. 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training,

Occupational Health and Safety Ordnance Specialist Company: The Boeing Company Boeing’s Enterprise Environment Health and Safety (EHS) organization’s Workplace Safety team is currently looking for an Occupational Health and Safety Ordnance Specialist in Hazelwood, MO. This role plays a critical role in representing Boeing in ordnance-related regulatory revisions, ensuring compliance across more than 50 explosives sites, and providing expert guidance to 40+ Ordnance Safety Focals across the company. The specialist’s expertise is essential to evaluating and approving new explosives sites, enabling the safe and compliant expansion of Boeing’s defense capabilities and supporting potential opportunities for multi-billion-dollar defense contracts. The position also plays a key role in supporting the timely resolution and closure of DCMA Corrective Action Requests (CARs). Position Responsibilities: Serve as the company’s technical authority on Arms, Ammunition and Explosive (AA&E) Safety Establish the enterprise technical strategy and governance for AA&E safety across all business units and programs Develop, approve, and maintain enterprise standards governing the manufacture, processing, handling, transportation, storage, integration, shipment, and disposal of energetic materials and devices Serve as the enterprise technical authority for the design, expansion, modernization, and commissioning of facilities supporting AA&E manufacturing and operations Establish AA&E Safety design criteria for new facilities, production lines, magazines, storage areas, and integration facilities Ensure facility and manufacturing process designs incorpor

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac is seeking a hands-on AI engineering leader to serve as Director within the Single-Family Acquisitions (SFA) division, reporting to the Sr. Director of GenAI Engineering & Enterprise Rules Platform. This role owns the technical core of SFA’s AI Systems Solutioning, including Agent Engineering & Design. This includes (1) the overall design and execution of AI Systems development from Ideation & Business casing to Specification creation & execution through deployment, (2) the evaluation harnesses and graded assessment sets that determine whether an agent or AI System is ready for production, and (3) the operating layer that keeps agents accountable after go-live. The role is approximately 70% hands-on architecture and code and 30% leadership of a GenAI engineering efforts and platform and vendor delivery partners. The Director is forward-deployed by design. The role partners with the divisional GenAI PMO, Enterprise Operations & Technology (EO&T), and Digital Experience, and works alongside the Enterprise Business Rules platform team so that agent-driven and rule-driven decisioning share a common domain vocabulary, evaluation approach, and traceability model. Our Impact Freddie Mac was established by Congress to provide liquidity, stability, and affordability to the U.S. housing market. Within Single-Family Acquisitions, our technology platforms and decisioning systems are foundational to ensuring loans sold to Freddie Mac meet eligibility, credit risk, and regulatory requirements at scale. Your Impact This role is a player / coach model. You wi

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Platform Engineer Overview: The Middleware team is responsible for ensuring the stability, availability, and performance of critical payment and enterprise platforms. This role provides operational support across middleware technologies and business-critical services, contributing to platform reliability, incident resolution, change implementation, and continuous service improvement Role: Provide primary support for Middleware Production Platform Administration (PPA) activities. Participate in an on-call support rota, including weekday and weekend coverage. Support and implement live production changes in accordance with established change management processes. Partner with the Operations and Platform Administration (OPA) team to deliver BAU operational activities. Monitor, troubleshoot, and resolve production incidents to ensure service availability and performance. Support critical payment and integration platforms, ensuring operational excellence and adherence to SLA commitments. Contribute to operational documentation, knowledge sharing, and process improvement initiatives. All About You: Experience supporting enterprise middleware and production platforms in a mission-critical environment. Knowledge of Oracle WebLogic Server administration and support. F

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to define and advance our global enterprise data architecture strategy. Reporting to the Vice President of Data Engineering, this role will lead the design and evolution of strategic platforms that simplify how external data is securely exchanged with Mastercard and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data. The successful candidate will establish the architectural vision for platforms that transform complex, fragmented data processes into scalable, self-service experiences that accelerate innovation and unlock greater value from Mastercard's data assets. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Mastercard's data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalabl

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Mastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities. The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities. Role & Responsibilities Technical Leadership • Lead end-to-end delivery of complex engineering initiatives. • Define technical architecture, engineering patterns, solution roadmaps, and development standards. • Drive technical design reviews, architecture discussions, and engineering best practices. • Guide teams in building scalable, secure, resilient, and maintainable platforms. • Evaluate emerging technologies and recommend strategic adoption opportuni

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. We are looking for a Principal Software Engineer to join our Configuration Management team and define the future of enterprise infrastructure automation, configuration management and operational platforms. This is a deeply technical, hands-on leadership role, you will architect and build foundational software systems that manage infrastructure consistently across compute, storage, networking, data centers, cloud, and hybrid environments. You will establish the multi-year technical direction, identify organization-wide challenges, and drive large-scale transformations from initial strategy through architecture, implementation, production adoption, and measurable outcomes. What You’ll Be Doing: Define the multi-year technical vision and architecture for IT infrastructure automation, configuration management, orchestration, and self-service platforms. Set the technical direction for infrastructure automation and configuration management across technologies such as Ansible Automation Platform, AWX, Salt or equivalent platforms. Establish the strategy for applying AI to configuration management, including configuration intelligence, drift and compliance analysis, change-risk identification, root-cause assistan

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 Senior Software Engineer to join the team and contribute to architecture, application modernization, cloud adoption, AI integration, and enterprise solution delivery across business-critical platforms. Key Responsibilities: Architect, design, develop, and support enterprise applications using C#, ASP.NET, .NET Core/.NET 8+, Web APIs, and Microservices Lead modernization initiatives involving IBM i (AS400/RPG/RPGLE/DB2) systems and integration with modern technology platforms Design and optimize Microsoft SQL Server databases, including performance tuning, stored procedures, indexing, and ETL processes Implement AI-powered solutions using Azure OpenAI, Microsoft Copilot, Generative AI, AI Agents, and Machine Learning services Develop and maintain scalable cloud-native applications on Microsoft Azure Define architecture standards, security best practices, and development frameworks Collaborate with business stakeholders to translate requirements into technical solutions Lead development teams, conduct code reviews, and mentor junior engineers Drive DevOps adoption, CI/CD automation, and application lifecycle management Required Qualifications: 5+ years of experience in Microsoft technologies (C#, or .Net framework 3+ years o

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II Overview: Mastercard’s Enterprise Credit Risk (ECR) team is seeking a Data Engineer II to design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives. In this role, you will work with large and complex datasets to develop scalable, reliable, and high-quality data solutions. You will collaborate with engineers, data scientists, risk analytics, and product partners to translate business needs into effective data products and pipelines. This is an opportunity for an engineer to deepen their data engineering expertise while contributing to modern cloud-based platforms and ECR's ongoing data modernization efforts. This is a hybrid role based in O’Fallon, MO, requiring three days per week onsite. Role: • Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives. • Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark. • Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases. • Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into ef

Job Requisition ID # 26WD101498 職務概要 オートデスクのコンサルティングチームでは、担当顧客に対して質の高いコンサルティングサービスを提供できる、豊富な経験と高い専門性を備えた意欲的な人材を募集しています。本ポジションは、Enterprise Customer Success部門のディレクターに直属します。 求められるのは、特定の業界・業種分野およびその主要テクノロジーに関する幅広い知識と、高い戦略的思考力を備えた方です。高度なファシリテーション能力と優れたビジネス感覚を活かし、業界動向や新興テクノロジー、顧客が目指すビジネス目標を踏まえながら、顧客の将来ビジョンの策定を支援します。 顧客企業の経営層やシニアリーダーと密接に連携し、デジタル戦略の策定、成功基準の定義、既存の業務プロセスやプロジェクトのパフォーマンス評価、各施策のビジネス価値を裏付ける根拠の構築を行います。さらに、具体的なビジネス成果を創出するソリューションの導入に向けた準備を推進します。 本ポジションの勤務地は東京都です。 業務内容 サプライチェーンの統合を含む、プロセス計画やオペレーション領域における戦略的変革およびイノベーション施策について、顧客に助言・提案を行う（例：デジタル化、Industry 4.0、企業不動産（CRE）マネジメント、ビルディング・インフォメーション・モデリング（BIM）、クラウドプラットフォーム、AI、機械学習（ML）など）。 顧客のビジョンや革新的な技術・業界トレンドを、測定可能なビジネス成果につなげる。 顧客企業の経営層やシニアビジネスリーダーと密接に連携し、ビジョンの明確化と優先順位付けを支援する。 ソリューションアーキテクト、他のコンサルタント、およびオートデスク社内の関係者と協働し、顧客のソリューション目標を達成するための選択肢や最適なアプローチを提案する。また、顧客向けソリューションの策定および提案活動を行う。 提案書、ビジネス評価・推奨事項、業務プロセス分析、ワークフロー関連文書など、質の高い成果物の作成、レビューおよび管理を支援する。 提案するソリューションに関して、プロジェクトのコスト見積もり、導入・提供手法、および作業分解構成（WBS）に基づくタスクについて助言する。 効率的な意思決定プロセスを促進し、課題や意見の相違の解決を支援する。 営業活動や提案プレゼンテーションに参加し、顧客企業内における追加の製品・サービスのビジネス機会を特定する。 自身の専門分野に関する価値ある知見を発掘・創出・発信することで、業界におけるソートリーダーとしての地位を確立する。 業務上の必要に応じて、勤務時間の最大50%程度を出張に充てる場合がある。 必須応募資格 日本語での優れた口頭・文書コミュニケーション能力、およびビジネスレベルの英語力。 機械工学、生産工学、またはプロセス工学分野の理学修士号（MSc）、もしくは同等の学位。 5年以上の業界経験。 業務プロセス上の要件に関連するオートデスク製品および／または競合製品についての深い知識と、それらを活用した業務プロセスに関する専門知識（例：AutoCAD Plant 3D & P&ID、Inventor、Factory Design Suite、Fusio

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary As an AI Product Owner, Cost Transformation, you will lead enterprise-wide cost optimization initiatives across Front-End (Wafer Fab) and Back-End (Assembly & Test) operations. You will work with Manufacturing, Procurement, Engineering, Cost, and Program Management organizations to identify cost opportunities and deliver AI-driven solutions that improve productivity, spend visibility, and business performance. This role requires broad semiconductor operations knowledge, procurement expertise, and the ability to connect operational, sourcing, and financial perspectives to deliver sustainable cost improvements. Main Responsibilities Drive identification, prioritization, and implementation of AI-enabled cost optimization opportunities across Front-End and Back-End operations. Partner

We anticipate the application window for this opening will close on - 29 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Indirect Supply Management (ISM) organization develops and executes sourcing strategies that maximize enterprise value across Medtronic’s indirect spend categories. This role is part of the Global Consulting and Marketing Services team and is responsible for strategic sourcing activities within the consulting services category, partnering with stakeholders across functions, regions, and businesses to optimize supplier performance, mitigate risk, and deliver measurable business value. This position is based in Fridley, Minnesota and follows an onsite work model, requiring a minimum of four days per week in the office to support collaboration with key business partners and stakeholders. As Principal Strategic Sourcing Specialist, Consulting, you will own sourcing strategy for a global consulting services portfolio with approximately $100M in annual spend, influencing decisions that support enterprise priorities across Medtronic. Partnering directly with senior leaders across functions, regions, and business units, you will shape sourcing strategies, lead complex negotiations with top consulting firms, and drive measurable value through supplier selection, commercial optimization, and risk management. This role offers significant visibility, broad organizational i

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer