370 jobs found

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments PREFERRED QUALIFICATIONS - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS - 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS - Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection . Schedule & Location : This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs . Relocation is not offered for this position . Position Summary The Enterprise AI Security Engineer is a senior technical role responsible for enabling the secure adoption of AI capabilities across the organization. This role defines and evolves security and risk requirements for enterprise AI capabilities, in addition to designing and implementing the supporting controls. The role operates at the intersection of cybersecurity, platform engineering, and emerging AI technologies, supporting enterprise AI solutions such as Microsoft Copilot, Claude, and internally developed or platform-based agentic AI systems, including Azure AI Foundry. The role translates emerging AI risks, security expectations, and enterprise requirements into clear, actionable, and scalable security patterns that can be consistently applied across platforms. The incumbent serves as a hands-on technical leader and subject matter expert, partnering with platform, engineering, and product teams to design, evaluate, and implement security capabilities for AI systems, while establishing standards and guidance for ongoing operations. In areas where security owns and administers the relevant controls, this role leads tool selection , control design, and implementation, with other teams potentially supporting day-to-day operations. In areas where security is not the system owner, this role consults with platform teams to ensure systems are configured and administered appropriately and effective security guidance is defined and applied. Role Emphasis This is a hands-on leadership role for someone who can define the security model for enterprise AI, not just implementing requirements provided by others. The successful candidate should be able to identify AI-related security risks, develop clear requirements and guardrails, and help teams implement those controls in a practical and scalable way. The role requires strong security engineering judgment, practical AI understanding, and the ability to balance risk reduction with business enablement. Key Responsibilities Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks. Define security and risk requirements for enterprise AI platforms and agent-based systems. Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements. Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations. Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment. Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments. Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives . Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling. Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes. Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration. Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied. Qualifications: 7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security. Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring. Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments. Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications. Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations. Demonstrated ability to evaluate technologies and guide technical decision-making. Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation. Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred. Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred. Skills Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations. Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges. Ability to develop security and risk requirements from ambiguous or emerging technology risks. Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns. Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively across teams. Education and Certifications Bachelor's degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered) Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred . The hiring range for this position is $121,000 - $198,000. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Description: Department: Commerce and Omnichannel Reports to: Managing Director, Commerce and Omnichannel Type: Full-time, senior Location: Fully remote, Eastern time zone hours Time split: Roughly 60% hands-on engineering, 20% architecture and technical direction, 20% pre-sales and client-facing - the real mix moves around week to week depending on what's in flight The short version We build and run complex commerce systems for our clients - Adobe Commerce, Shopify, BigCommerce, OroCommerce, and whatever the next one turns out to be. We're looking for an architect who can own the technical design of those builds and still be the person writing the hard parts. The distinguishing requirement here isn't a platform. It's platform mobility. We need someone who can land in an unfamiliar codebase, work out how it actually behaves, and be productive in days - then do it again next quarter on something else. If you've gone deep on one stack and want to stay there, this isn't your role. If "new platform, six weeks, go" sounds like the good part of the job, keep reading. What you'd walk into 50 active support accounts and 5 concurrent implementation projects across the division - you'd own a portion of that book, not all of it Clients that straddle the line between mid-market and enterprise - enterprise-grade problems without enterprise-sized teams to throw at them A team of senior architects, developers, and offshore contractors staffed as a shared resource across accounts. You'd own your projects end to end and work alongside the other architects, not above them. Real integration surface: ERP, PIM, CRM, OMS/WMS, tax, payment, search, and fulfillment systems, plus middleware (Boomi, MuleSoft, Celigo, or services we build ourselves) The work Hands-on engineering ( 60%) Build the complex backend and integration work: modules and extensions, services, GraphQL/REST endpoints, data synchronization - the parts other people get stuck on. Lead debugging and performance work on high-traffic production systems. Review code and refactor with intent. The standard gets set by what you ship, not by a document. Architecture and technical direction ( 20%) Own end-to-end technical design on your projects: data models, API contracts, extension strategy, integration topology, and failure/reconciliation behavior. Contribute to our coding standards and architectural guardrails and hold the line on them in the work you own. Mentor developers through pairing and design sessions. The goal is fewer escalations reaching you over time, not more. Pre-sales and client-facing ( 20%) Sit in scoping and roadmap conversations and give feasibility and sizing input on proposals. Represent the technical position directly to clients - including when the answer is "not the way you've asked for it." How we work We're a consultancy. That means several clients at once, genuine context-switching, and work that ships and then gets supported for years. Some engineers find that energizing and some find it draining; it's worth being honest with yourself about which. AI-assisted development is part of how we deliver, not a side experiment. We're actively building out internal AI tooling and practice, and this role has a direct hand in shaping how that gets applied to client work. What success looks like At 90 days - you've taken technical ownership of at least one active implementation, you know where the bodies are buried across the support book, and you've shipped production code on two different platforms. At 12 months - the integration patterns you've built are getting reused on the next client instead of rebuilt from scratch. The numbers you put behind a scoping conversation hold up once the work is underway, so your input gets trusted earlier in the sales cycle. And at least one developer on the team is doing work they couldn't have done a year ago. Requirements: What we're looking for You've owned the end-to-end technical design of a complex commerce build - and were still in the code while you did it. You've shipped production work on more than one platform or stack, including at least one you picked up on the job. Expect us to ask how you got productive. Deep expertise in at least one of Adobe Commerce (Magento 2), BigCommerce (including B2B Edition and Catalyst), or OroCommerce: custom extension work, catalog and pricing, checkout, indexing, performance tuning. You've built a non-trivial integration to an ERP, OMS/WMS, or financial system and handled the unglamorous parts - idempotency, reconciliation, partial failure, replay. You've fixed a real performance problem on a high-traffic commerce application and can tell us what you measured, what you changed, and what it bought. You can hold your own in a client conversation: take a vague requirement and come back with a defensible approach and a number. Also useful: event-driven and asynchronous integration patterns, distributed data and caching architectures, modern front-end or headless work (React/Next.js/Vue), and anything from outside commerce that changed how you think about systems. Interview process The process is an intro call, a conversation with our technical leadership, an assessment is conducted, reference and background checks completed and a final interview with our CEO. Equal opportunity Weidenhammer Systems Corp. is an equal opportunity employer. Must be authorized to work in the U.S for any employer. PI42a3c3c4aa9c-3742

We are seeking a Senior Network Engineer to design, deploy, and operate enterprise network infrastructure across on-premises environments and cloud platforms (AWS, Azure). This role bridges hands-on operational execution with emerging architectural responsibility and is expected to contribute meaningfully to automation and modernization initiatives while serving as a technical resource for junior engineers on the team. Compensation: Expected Annual Base Salary $130,000-$155,000 + bonus + profit sharing. Responsibilities: Network Operations & Engineering Own day-to-day operations, monitoring, and troubleshooting of on-premises and cloud-connected network infrastructure across global offices and data centers. Lead incident response for complex network issues, performing root cause analysis and driving resolution with minimal supervision. Manage global carrier services and connectivity across EMEA, APAC, and the Americas. Maintain and improve operational documentation, including network diagrams, runbooks, and change records. Participate in an after-hours/on-call rotation for critical incidents. Infrastructure Design & Deployment Design and implement network solutions for LAN, WAN, wireless, and hybrid cloud connectivity, working within and contributing to established architectural standards. Configure and deploy Aruba and/or Cisco infrastructure, including routing, switching, and wireless platforms. Lead network hardware and software lifecycle management, including capacity planning, patching, and firmware upgrades. Evaluate new technologies and provide recommendations to senior architects. Cloud & Hybrid Connectivity Implement and support hybrid connectivity between on-premises environments and AWS/Azure, including AWS Direct Connect, Azure ExpressRoute, and VPN configurations. Apply cloud networking concepts (VPCs, VNets, routing, security groups) to support both operational and project-level needs. Collaborate with cloud and systems teams to ensure consistent and secure network integration across environments. Automation & IaC Actively develop and maintain Infrastructure as Code using Terraform and Git for network provisioning and configuration management. Write and maintain scripts (Python, Shell, or PowerShell) to automate repetitive tasks and improve operational efficiency. Contribute to CI/CD pipeline development and support the team's broader IaC adoption goals. Serve as a practitioner-level resource for automation tooling within the network team. Firewall & Security Administer Check Point firewalls, including rulebase management, policy optimization, and VPN configuration. Manage Aruba ClearPass NAC policies for network access control, authentication, and segmentation. Ensure adherence to our network security standards across all environments and assist in driving compliance across the broader infrastructure. Mentorship & Collaboration Provide technical guidance and day-to-day mentorship to Network Engineers on the team. Participate in design and architecture discussions, contributing operational insight and engineering perspective. Collaborate cross-functionally with infrastructure, security, and cloud teams on shared initiatives. Qualifications: Required Experience: Minimum of 6 years of enterprise networking experience in a hands-on engineering or operations role. Networking Expertise: Strong hands-on experience with Aruba and/or Cisco LAN, WAN, and wireless infrastructure. Solid understanding of dynamic routing protocols (BGP, OSPF) and Layer 2 technologies (VLANs, STP, QoS). Experience administering Check Point firewalls, including policy management and VPN troubleshooting. Working knowledge of AWS and/or Azure networking (VPCs/VNets, routing, Direct Connect/ExpressRoute, VPN connectivity). Automation & IaC: Proficiency in at least one scripting language for network automation tasks. Operations: Experience leading incident response and root cause analysis for complex network issues. Strong documentation skills and familiarity with ITIL-aligned change management processes. Preferred Experience with Aruba ClearPass NAC for access control and segmentation. Prior experience with Terraform and Git in an enterprise environment; candidates without this experience at time of hire are expected to achieve working proficiency within 6-12 months. Exposure to CI/CD pipelines and automation frameworks in a network engineering context. Relevant industry certifications such as CCNP, Aruba Certified Professional, or AWS/Azure networking associate or professional level. Our Commitment to Inclusion & Belonging The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupations or positions.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. What We Need: Multiple Positions Available COMPANY: McKesson Corporation POSITION: Senior Information Security Analyst LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead the delivery and lifecycle management of enterprise security data products, including data lakes, Azure Data Factory, and Databricks. Applied Al, Stochastic Optimization using Cyber Central data for security insights. Drive security efficiencies through automation, orchestration, and process optimization. Architect and implement secure, automated, and integrated solutions that support global security operations and business initiatives. Collaborate with cross-functional teams to identify and remediate security risks, track progress, and ensure alignment with strategic goals. Develop and execute security test plans, validate controls, and enhance system stability without impacting business continuity. Ensure compliance with regulatory frameworks including NIST, ISO 27001, HIPAA, Zero Trust, GDPR, and others. Participate in change management, architecture reviews, and strategic planning sessions. Mentor junior team members and serve as a technical resource across the organization. 100% telecommuting allowed from any location in the U.S. REQUIREMENTS: Master's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and five (5) years of experience in the job offered or related field. ALTERNATIVELY , Bachelor's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and seven (7) years of experience in the job offered or related field. Applicant must have five (5) years demonstrated experience in each of the following: Cloud platforms (Azure, AWS), data engineering tools (Data Factory, Databricks), and scripting languages (Python, PowerShell, and JavaScript). Deep understanding of security frameworks and compliance standards. System and network security engineering across Windows, Linux, and Unix environments. Vulnerability management, penetration testing, and secure architecture design. Communicating complex security risks in business terms and influencing decision-making. undefinedApplicant must have three (3) years demonstrated experience in each of the following: Vulnerability Management data and Bl work. OFFERED WAGE: $169,950 - $179,300/year CONTACT: To apply, please send resumes to . Reference #: 002224. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. What We Need: Multiple Positions Available COMPANY: McKesson Corporation POSITION: Senior Information Security Analyst LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead the delivery and lifecycle management of enterprise security data products, including data lakes, Azure Data Factory, and Databricks. Applied Al, Stochastic Optimization using Cyber Central data for security insights. Drive security efficiencies through automation, orchestration, and process optimization. Architect and implement secure, automated, and integrated solutions that support global security operations and business initiatives. Collaborate with cross-functional teams to identify and remediate security risks, track progress, and ensure alignment with strategic goals. Develop and execute security test plans, validate controls, and enhance system stability without impacting business continuity. Ensure compliance with regulatory frameworks including NIST, ISO 27001, HIPAA, Zero Trust, GDPR, and others. Participate in change management, architecture reviews, and strategic planning sessions. Mentor junior team members and serve as a technical resource across the organization. 100% telecommuting allowed from any location in the U.S. REQUIREMENTS: Master's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and five (5) years of experience in the job offered or related field. ALTERNATIVELY , Bachelor's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and seven (7) years of experience in the job offered or related field. Applicant must have five (5) years demonstrated experience in each of the following: Cloud platforms (Azure, AWS), data engineering tools (Data Factory, Databricks), and scripting languages (Python, PowerShell, and JavaScript). Deep understanding of security frameworks and compliance standards. System and network security engineering across Windows, Linux, and Unix environments. Vulnerability management, penetration testing, and secure architecture design. Communicating complex security risks in business terms and influencing decision-making. undefinedApplicant must have three (3) years demonstrated experience in each of the following: Vulnerability Management data and Bl work. OFFERED WAGE: $169,950 - $179,300/year CONTACT: To apply, please send resumes to . Reference #: 002224. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job description SUMMARY The Staff Software Development Engineer is a senior technical contributor responsible for the architecture, design, development, verification, and maintenance of software used in implantable spinal cord stimulation systems and supporting clinical applications. This role provides technical leadership across software development efforts while ensuring compliance with medical device regulations and quality standards. The Staff Engineer collaborates closely with cross-functional teams including Systems Engineering, Electrical Engineering, Firmware, Quality Assurance, Regulatory Affairs, Clinical Affairs, and Product Management to develop safe, reliable, and effective software solutions that improve patient outcomes. PRIMARY JOB RESPONSIBILITIES Lead the design and development of software for medical devices, clinician programmer applications, patient applications, and supporting cloud or desktop systems. Define software architecture and technical direction for complex projects spanning multiple software components. Develop high-quality, maintainable, and well-tested software following established software engineering principles and coding standards. Participate in product planning, requirements analysis, system design, risk analysis, implementation, verification, and product release activities. Ensure software development complies with applicable quality system regulations and standards, including FDA Quality System Regulation and other applicable standards. Perform technical reviews of software requirements, architecture, source code, test plans, and design documentation. Mentor software engineers by promoting engineering best practices, code quality, design patterns, and continuous improvement. Collaborate with systems, firmware, hardware, and clinical engineering teams to integrate software with implantable neurostimulation devices. Support cybersecurity, software reliability, and performance initiatives throughout the product lifecycle. Investigate field issues and implement corrective and preventive actions when required. Contribute to software process improvements, development tools, automated testing, and continuous integration pipelines. Participate in design reviews, hazard analyses, and risk management activities to ensure patient safety. Provide technical guidance during regulatory submissions and product audits. Required profile REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related technical field. 6+ years of professional software development experience. Extensive experience designing and developing complex software applications using modern programming languages such as C#, C++, Kotlin. Experience developing software using object-oriented design principles and software architecture patterns. Strong understanding of Agile software development methodologies. Experience with version control systems such as Git. Strong analytical, debugging, and problem-solving skills. Excellent written and verbal communication skills. Demonstrated ability to lead technical initiatives without direct managerial responsibility. PREFERRED QUALIFICATIONS Master's degree in Computer Science, Engineering, or related field. Knowledge of NoSQL Experience developing software for regulated medical devices. Knowledge of IEC standards, and FDA software guidance, and cybersecurity requirements for medical devices. Experience with Bluetooth Low Energy (BLE), embedded communications, or implantable medical device interfaces. Experience developing Android (Kotlin), Windows(UWP/Xamarin). Experience with automated testing frameworks, CI/CD pipelines, and static code analysis tools. Familiarity with cloud-connected medical systems and secure data communication. Key Performance Expectations Deliver high-quality software that meets functional, performance, safety, and regulatory requirements. Drive technical decisions that improve scalability, maintainability, and reliability. Ensure software documentation is complete, accurate, and audit-ready. Reduce software defects through design reviews, code reviews, and comprehensive testing. Foster engineering excellence by mentoring developers and promoting software best practices. Support successful regulatory submissions and product releases through technical expertise and documentation quality. TRAVEL REQUIREMENTS Must be able to travel internationally and domestically, less than 15% of the time. Company description Working for Micro Systems Engineering, Inc. (MSEI) means joining an elite team to work on some of the most exciting challenges in medical technology today. We are a pioneer in developing innovative implantable medical device technologies and devices that save and enhance the quality of life for millions of individuals living with cardiovascular and chronic neurologic pain disorders. With more than 40 years of experience in design and manufacturing of active implantable medical devices, our continuing success is based on our company's core values - innovation, quality, reliability, integrity, teamwork, and undisputed expertise - thus enabling us to inspire confidence and trust in physicians and patients worldwide. We are continually looking for talented engineers, scientists, and professionals to share in our mission. What we offer This position is Hybrid, based in out Lake Oswego, Oregon office. Micro Systems Engineering, Inc. is an equal opportunity employer. In accordance with applicable law, the company prohibits discrimination based on race, color, religion, creed, gender, pregnancy or related medical conditions, age, national origin or ancestry, physical or mental disability, sexual orientation, genetic information, uniformed service or any other consideration protected by federal state and local laws. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee. MSEI Lake Oswego United States (US)

Vantor is seeking a Senior Systems Engineer to design, implement, and optimize scalable cloud and systems architectures for modern software and data solutions. In this role, you'll own end-to-end infrastructure design, from cloud-native environments to CI/CD, monitoring, and automation. You'll collaborate with cross-functional agile teams, ensuring security, reliability, performance, and cost efficiency. You'll lead troubleshooting of complex production issues, implement infrastructure-as-code and observability best practices, and help shape technical standards supporting Vantor's data-driven, automation-focused client projects. Responsibilities Design and implement scalable, secure cloud and on-prem systems architectures for client solutions Lead end-to-end systems engineering for modern web, data, and automation platforms Configure and manage CI/CD pipelines, monitoring, and observability tooling Optimize performance, reliability, and cost across infrastructure and application stacks Automate infrastructure provisioning and operational workflows using Ia C tools Collaborate with developers, data engineers, and client stakeholders in agile teams Ensure systems security, compliance, backup, and disaster recovery strategies Troubleshoot complex production issues and drive root-cause analysis and remediation Required Skills Cloud architecture (AWS, Azure, or GCP) Linux/Windows systems administration Infrastructure as Code (Terraform, Cloud Formation, or similar) CI/CD pipelines (Git Hub Actions, Git Lab CI, Jenkins, etc.) Containers and orchestration (Docker, Kubernetes) Monitoring and observability (Prometheus, Grafana, ELK, or similar) Scripting/automation (Python, Bash, or Power Shell) Networking, security, and identity management Performance tuning and capacity planning Backup, disaster recovery, and high availability design

Job description We are looking for a talented Senior Engineer to join our elite Factory Software Development team. This is an exciting opportunity for an individual to contribute to automation of manufacturing processes by developing systems and software solutions for robotics, data analysis, factory management, machine interfaces, and dashboards projects. Your Responsibilities Develop, integrate, and deploy multi-platform software solutions Define and promote software architectures Contribute to system design Identify, generate, and update all required documentation to support software and systems Other duties may be assigned at the discretion of the manager Required profile Education & Experience Requirements Bachelor's degree in the field of computer engineering, computer science, electrical engineering, or a related field Minimum 4 years of software development work experience. Experience managing projects. Additional Preferred Knowledge, Skills, Abilities Master's degree in the field of computer engineering, computer science or electrical engineering 3 years of experience in object-oriented software development at the graduate level or in industry Experience with one or more of the following technologies: enterprise applications, AI agent development, Model Context Protocol, database management, web development, mobile applications Experience with C# software development Experience with Agile methodology and tools Experience with all aspects of the software development process, including software requirements, software design, software integration, debugging and testing, and software documentation Demonstrated success in driving one or more projects to completion Experience in medical device or similarly regulated industry Physical Requirements The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Company description Working for Micro Systems Engineering, Inc. (MSEI) means joining an elite team to work on some of the most exciting challenges in medical technology today. We are a pioneer in developing innovative implantable medical device technologies and devices that save and enhance the quality of life for millions of individuals living with cardiovascular and chronic neurologic pain disorders. With more than 40 years of experience in design and manufacturing of active implantable medical devices, our continuing success is based on our company's core values -innovation, quality, reliability, integrity, teamwork, and undisputed expertise - thus enabling us to inspire confidence and trust in physicians and patients worldwide. We are continually looking for talented engineers, scientists, and professionals to share in our mission. What we offer Micro Systems Engineering, Inc. is an equal opportunity employer. In accordance with applicable law, the company prohibits discrimination based on race, color, religion, creed, gender, pregnancy or related medical conditions, age, national origin or ancestry, physical or mental disability, sexual orientation, genetic information, uniformed service or any other consideration protected by federal state and local laws. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee.

Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD