Join a dynamic and innovative team as the Director of Hardware Design, where you will play a pivotal role in shaping the future of electrical hardware for global deployments. This senior-level position focuses on electrical engineering with a strong emphasis on solar power systems, camera and imaging electronics, and robust outdoor electrical systems. You will drive the entire hardware lifecycle, from strategy to execution, ensuring reliable and cost-effective solutions that empower advanced AI models in diverse environments. In this role, you will collaborate closely with software, AI/computer vision, QA, product, and procurement teams to define hardware strategies and make critical decisions. Your responsibilities will include managing BOMs, vendor relationships, and delivering manufacturable hardware that meets the demands of global markets. This position combines deep technical expertise with strategic leadership, laying the groundwork for future hardware team expansion. Key Responsibilities Electrical Hardware Design & Development: Spearhead the design and optimization of solar power systems for outdoor devices. Lead the development of camera and imaging hardware, ensuring optimal performance in varying environmental conditions. Develop robust electrical systems for global deployment, focusing on temperature variance, protection, and reliability. BOM, Procurement & Supply Chain Management: Manage BOMs, focusing on component selection, cost optimization, and lifecycle management. Work closely with procurement and operations to ensure efficient vendor and contract manufacturer relationships. Cross-Functional Collaboration & AI Enablement: Partner with AI/ML and computer vision engineers to ensure hardware meets image quality and power efficiency standards. Collaborate with software and QA teams for system integration and testing. Strategic & Roadmap Leadership: Define the hardware technology roadmap, focusing on electrical architecture and global deployment goals. Act as the primary expert in engineering discussions and lay the foundation for team growth. Quality, Reliability & Compliance: Ensure all hardware meets regulatory requirements and is designed for long-term reliability. Establish robust validation processes for global deployments. Qualifications Required Bachelors or Masters degree in Electrical Engineering or a related field. 1015+ years of hands-on experience in electrical hardware design for solar power systems, camera/imaging electronics, and rugged outdoor devices. Expertise in power electronics, battery management systems, and low-power design for solar applications. Proven experience with camera modules and imaging pipelines for computer vision applications. Strong proficiency in schematic capture and PCB design tools, particularly Altium. Experience with BOM management and collaboration with procurement and manufacturers. Ability to independently lead hardware projects and influence cross-functional teams. Excellent communication skills and experience with mechanical integration requirements. Preferred Experience designing hardware for worldwide deployment, including regulatory compliance. Direct experience with electrical hardware for computer vision or edge AI platforms. Background in smart cities, municipal infrastructure, or related fields. Experience with high-volume outdoor electronic deployments. Patent contributions or experience in driving hardware-related intellectual property. Apply now to lead cutting-edge hardware design initiatives and contribute to revolutionary global solutions.
08/06/2026
Join a dynamic and innovative team as the Director of Hardware Design, where you will play a pivotal role in shaping the future of electrical hardware for global deployments. This senior-level position focuses on electrical engineering with a strong emphasis on solar power systems, camera and imaging electronics, and robust outdoor electrical systems. You will drive the entire hardware lifecycle, from strategy to execution, ensuring reliable and cost-effective solutions that empower advanced AI models in diverse environments. In this role, you will collaborate closely with software, AI/computer vision, QA, product, and procurement teams to define hardware strategies and make critical decisions. Your responsibilities will include managing BOMs, vendor relationships, and delivering manufacturable hardware that meets the demands of global markets. This position combines deep technical expertise with strategic leadership, laying the groundwork for future hardware team expansion. Key Responsibilities Electrical Hardware Design & Development: Spearhead the design and optimization of solar power systems for outdoor devices. Lead the development of camera and imaging hardware, ensuring optimal performance in varying environmental conditions. Develop robust electrical systems for global deployment, focusing on temperature variance, protection, and reliability. BOM, Procurement & Supply Chain Management: Manage BOMs, focusing on component selection, cost optimization, and lifecycle management. Work closely with procurement and operations to ensure efficient vendor and contract manufacturer relationships. Cross-Functional Collaboration & AI Enablement: Partner with AI/ML and computer vision engineers to ensure hardware meets image quality and power efficiency standards. Collaborate with software and QA teams for system integration and testing. Strategic & Roadmap Leadership: Define the hardware technology roadmap, focusing on electrical architecture and global deployment goals. Act as the primary expert in engineering discussions and lay the foundation for team growth. Quality, Reliability & Compliance: Ensure all hardware meets regulatory requirements and is designed for long-term reliability. Establish robust validation processes for global deployments. Qualifications Required Bachelors or Masters degree in Electrical Engineering or a related field. 1015+ years of hands-on experience in electrical hardware design for solar power systems, camera/imaging electronics, and rugged outdoor devices. Expertise in power electronics, battery management systems, and low-power design for solar applications. Proven experience with camera modules and imaging pipelines for computer vision applications. Strong proficiency in schematic capture and PCB design tools, particularly Altium. Experience with BOM management and collaboration with procurement and manufacturers. Ability to independently lead hardware projects and influence cross-functional teams. Excellent communication skills and experience with mechanical integration requirements. Preferred Experience designing hardware for worldwide deployment, including regulatory compliance. Direct experience with electrical hardware for computer vision or edge AI platforms. Background in smart cities, municipal infrastructure, or related fields. Experience with high-volume outdoor electronic deployments. Patent contributions or experience in driving hardware-related intellectual property. Apply now to lead cutting-edge hardware design initiatives and contribute to revolutionary global solutions.
Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The Cloud Platform Engineering team provides support for public cloud services in Azure. This includes consulting, onboarding, application success management, platform operations, product ownership, FinOps and new service enablement. We enable and support secure and resilient usage of Public Cloud across KP application, analytics, and platform teams. This position is project facing and will interact with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting support of Azure Platform capabilities Pro-actively engages with application teams, engineering, operations, and vendors to drive product capability delivery Advocate for application teams, supporting roadmap alignment for delivery of new cloud capabilities Supports applications as a trusted advisor from project intake to go-live Drives schedule alignment and owns delivery of platform environments per agreed upon application needs Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert on project teams, contributing to technical direction for varying technical solutions, and ensuring IT systems are effectively utilized. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. Develops requirements, or leads a team of IT consultants in the development of requirements for complex or specialized process or system solutions which may span multiple business domains by partnering with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of complex solution proposals. Provides insight, guidance, and recommendations throughout the evolution of applications, systems, and/or processes to a desired future state by maintaining and leveraging a comprehensive understanding of how current processes impact business operations across the enterprise. Maps current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to senior management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Influences solution design by providing insight and consultation at design sessions with IT teams to help translate requirements into workable business solutions. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Participates in evaluating third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum eight (8) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.
08/06/2026
Full time
Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The Cloud Platform Engineering team provides support for public cloud services in Azure. This includes consulting, onboarding, application success management, platform operations, product ownership, FinOps and new service enablement. We enable and support secure and resilient usage of Public Cloud across KP application, analytics, and platform teams. This position is project facing and will interact with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting support of Azure Platform capabilities Pro-actively engages with application teams, engineering, operations, and vendors to drive product capability delivery Advocate for application teams, supporting roadmap alignment for delivery of new cloud capabilities Supports applications as a trusted advisor from project intake to go-live Drives schedule alignment and owns delivery of platform environments per agreed upon application needs Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert on project teams, contributing to technical direction for varying technical solutions, and ensuring IT systems are effectively utilized. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. Develops requirements, or leads a team of IT consultants in the development of requirements for complex or specialized process or system solutions which may span multiple business domains by partnering with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of complex solution proposals. Provides insight, guidance, and recommendations throughout the evolution of applications, systems, and/or processes to a desired future state by maintaining and leveraging a comprehensive understanding of how current processes impact business operations across the enterprise. Maps current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to senior management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Influences solution design by providing insight and consultation at design sessions with IT teams to help translate requirements into workable business solutions. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Participates in evaluating third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum eight (8) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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 . click apply for full job details
08/06/2026
Full time
Lead Machine Learning Engineer (Finance Tech - AI Enablement) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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 . click apply for full job details
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. At Jazz, we are reimagining how we design and deliver more precise customer experiences, enabled by new technologies, modern ways of working, and high performing team behaviors. Through this work, we enable teams to better understand patients, caregivers, and HCPs, anticipate their needs across the enterprise, deliver timely and personalized engagement, and orchestrate seamless, end-to-end experiences as One Jazz. To power this ambition with both speed and scale, we are embracing a new capability-oriented operating model, allowing business and technology teams to partner side by side in building, advancing, and delivering global capabilities across our enterprise. Cross-functional, empowered Global Capability teams own outcomes-not just outputs-and work from clear capability visions, strategies, and measurable goals. We prioritize user problems, validate solutions through experimentation and data, and iterate quickly to create real value for our users and the business. As part of this model, you'll collaborate closely with users, stakeholders, and technical teams across the organization, using discovery and delivery practices to ensure we're building the right things, in the right way, at the right time. The Global Capability Owner, Digital & Web Ops, provides hands-on capability ownership and strategic direction for the Digital & Web Ops team within the Content Development & Deployment team in Global Customer Experience Operations. Digital & Web Ops encompasses the platforms and capabilities that enable personalized interactions across web, CRM, email, and patient-facing applications, supporting seamless omnichannel experiences. Reporting to the Suite Lead, this role serves as the primary Global Capability leader for the Digital & Web Ops team and partners closely with Tech Leads, development teams, Activation and vendor partners to ensure solutions are aligned with capability priorities and enterprise standards. The Global Capability Digital & Web Ops team builds and evolves the digital channels, content delivery systems, and engagement platforms that deliver personalized, compliant experiences across web, CRM, and patient-facing applications. As the Global Capability Digital & Web Ops Owner, you will have primary accountability for developing the Global Capability, roadmap priorities, governance, and measurable outcomes in collaboration with stakeholders for web CMS capabilities, digital channel enablement capabilities, engagement capabilities, and patient apps, ensuring capabilities deliver meaningful, measurable impact for users and the business. Essential Functions/Responsibilities Key Responsibilities: Global Capability Strategy & Roadmap Ownership Define and articulate the capability vision, and outcomes aligned to global and franchise priorities in collaboration with key stakeholders. Own and continuously evolve the Digital & Web Ops roadmap, making prioritization and trade-off decisions to add the most value based upon user feedback. Translate business needs into capability solutions with measurable success metrics that drive impact across franchises and the business. Define and standardize channel activation frameworks across email, web, media, patient applications, and other engagement touchpoints. Own web governance and content management across branded and unbranded properties (standards, templates, publishing workflows, compliance). Collaboration Connect business stakeholders and the Digital & Web Ops global capability team, ensuring requirements are clearly defined and aligned to strategically important business outcomes and success metrics. Partner closely with the Tech Lead to align business priorities with technical feasibility and delivery sequencing, ensuring trade-offs support agreed business outcomes. Partner closely with the Suite Lead to align capability priorities, scope and roadmap decisions with team-level business objectives, ensuring consistent focus on enterprise outcomes and value delivery. Define clear capability requirements, user stories, and acceptance criteria to enable efficient execution and alignment with business partner activity needs. Partner across the Customer Experience Organization to ensure seamless integration and influence ongoing capability evolution to support scalability, flexibility, and compliance requirements. Maximize enterprise commercial ROI by delivering integrated omnichannel performance insights that inform budget allocation, channel optimization, and portfolio prioritization decisions for senior leadership. Partner with Activation Leads as the primary interface for new capabilities, aligning on priorities and driving adoption of new capabilities across franchises and functions. User-Centered Solution Development Leverage user insights and engagement data to shape Digital & Web Ops capabilities that drive an improved customer experience (for both internal and external users). Lead discovery efforts, engaging directly with users and key stakeholders to deeply understand their needs, validate business value, and assess technical feasibility prior to development. Delivery, Optimization & Value Realization Partner across Global Capability teams to deliver scalable, reusable Digital & Web Ops capabilities. Monitor capability adoption, outcome KPIs and engagement metrics to inform backlog prioritization and continuous improvement. Develop and manage documentation (PRDs, user stories, discovery artifacts), and sprint planning in partnership with the Tech Lead and development teams. Drive experimentation to improve Web CMS Capability, Digital Channel Enablement Capabilities, Engagement Capabilities, and Patient Apps outcomes. Leverage outcome metrics to articulate the capability's value proposition and its impact, promoting capability awareness across CX operations and foster a culture of engagement and feedback in partnership with Activation. Required Knowledge, Skills, and Abilities Technical Skills Experience designing scalable capability frameworks, prioritization logic, and governance standards. Strong understanding of web content management systems (e.g., Drupal), digital channel enablement tools (e.g., SEO/SEM, social media), and patient-facing digital applications. Knowledge of digital channel activation, web governance, CRM-driven personalization, and compliant digital engagement frameworks, including how platform configuration and integration design impact campaign execution, patient journey continuity, and engagement quality. Experience working within Agile product development and product operating models. Experience with tools such as JIRA, Confluence, or similar product management and collaboration platforms. Experience using AI, automation, or agentic workflows to enhance learning design, delivery, or learning operations Experience partnering with end users across product discovery, design, and deployment. Business Skills Customer Journey Understanding - ability to see customer's end-to-end experience clearly and use it on an ongoing basis for go to market strategic, tactical and measurement decisions, while anticipating needs across touchpoints. Make practical decisions that improve journey and outcomes. Cross functional Matrix Collaboration - ability to work fluidly across teams and reporting lines respecting SME, coordinating shared work, ensuring progress even when accountability is distributed - supporting decisions with professional alignment and focus on collective success. Deeply understands and values unique capabilities and perspectives of diverse functions. Problem Solving - ability to break down complexity, identify root causes, and experiment with solutions using an adaptive, learning oriented approach. Managing Competing Priorities - ability to navigate shifting demands with clarity and adaptability, focusing effort where it creates the greatest future impact while keeping work moving. Decision Making - ability to make transparent, criteria-based decisions by weighing options, risks, and implications and aligning others around the path forward. Continuous Improvement - ability to regularly improve processes/products through reflection and iteration, generates new options and approaches when constraints exist, growth mindset, challenges status quo. Required/Preferred Education and Licenses Qualifications: Bachelor's degree in business, technology, marketing, science . click apply for full job details
08/05/2026
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. At Jazz, we are reimagining how we design and deliver more precise customer experiences, enabled by new technologies, modern ways of working, and high performing team behaviors. Through this work, we enable teams to better understand patients, caregivers, and HCPs, anticipate their needs across the enterprise, deliver timely and personalized engagement, and orchestrate seamless, end-to-end experiences as One Jazz. To power this ambition with both speed and scale, we are embracing a new capability-oriented operating model, allowing business and technology teams to partner side by side in building, advancing, and delivering global capabilities across our enterprise. Cross-functional, empowered Global Capability teams own outcomes-not just outputs-and work from clear capability visions, strategies, and measurable goals. We prioritize user problems, validate solutions through experimentation and data, and iterate quickly to create real value for our users and the business. As part of this model, you'll collaborate closely with users, stakeholders, and technical teams across the organization, using discovery and delivery practices to ensure we're building the right things, in the right way, at the right time. The Global Capability Owner, Digital & Web Ops, provides hands-on capability ownership and strategic direction for the Digital & Web Ops team within the Content Development & Deployment team in Global Customer Experience Operations. Digital & Web Ops encompasses the platforms and capabilities that enable personalized interactions across web, CRM, email, and patient-facing applications, supporting seamless omnichannel experiences. Reporting to the Suite Lead, this role serves as the primary Global Capability leader for the Digital & Web Ops team and partners closely with Tech Leads, development teams, Activation and vendor partners to ensure solutions are aligned with capability priorities and enterprise standards. The Global Capability Digital & Web Ops team builds and evolves the digital channels, content delivery systems, and engagement platforms that deliver personalized, compliant experiences across web, CRM, and patient-facing applications. As the Global Capability Digital & Web Ops Owner, you will have primary accountability for developing the Global Capability, roadmap priorities, governance, and measurable outcomes in collaboration with stakeholders for web CMS capabilities, digital channel enablement capabilities, engagement capabilities, and patient apps, ensuring capabilities deliver meaningful, measurable impact for users and the business. Essential Functions/Responsibilities Key Responsibilities: Global Capability Strategy & Roadmap Ownership Define and articulate the capability vision, and outcomes aligned to global and franchise priorities in collaboration with key stakeholders. Own and continuously evolve the Digital & Web Ops roadmap, making prioritization and trade-off decisions to add the most value based upon user feedback. Translate business needs into capability solutions with measurable success metrics that drive impact across franchises and the business. Define and standardize channel activation frameworks across email, web, media, patient applications, and other engagement touchpoints. Own web governance and content management across branded and unbranded properties (standards, templates, publishing workflows, compliance). Collaboration Connect business stakeholders and the Digital & Web Ops global capability team, ensuring requirements are clearly defined and aligned to strategically important business outcomes and success metrics. Partner closely with the Tech Lead to align business priorities with technical feasibility and delivery sequencing, ensuring trade-offs support agreed business outcomes. Partner closely with the Suite Lead to align capability priorities, scope and roadmap decisions with team-level business objectives, ensuring consistent focus on enterprise outcomes and value delivery. Define clear capability requirements, user stories, and acceptance criteria to enable efficient execution and alignment with business partner activity needs. Partner across the Customer Experience Organization to ensure seamless integration and influence ongoing capability evolution to support scalability, flexibility, and compliance requirements. Maximize enterprise commercial ROI by delivering integrated omnichannel performance insights that inform budget allocation, channel optimization, and portfolio prioritization decisions for senior leadership. Partner with Activation Leads as the primary interface for new capabilities, aligning on priorities and driving adoption of new capabilities across franchises and functions. User-Centered Solution Development Leverage user insights and engagement data to shape Digital & Web Ops capabilities that drive an improved customer experience (for both internal and external users). Lead discovery efforts, engaging directly with users and key stakeholders to deeply understand their needs, validate business value, and assess technical feasibility prior to development. Delivery, Optimization & Value Realization Partner across Global Capability teams to deliver scalable, reusable Digital & Web Ops capabilities. Monitor capability adoption, outcome KPIs and engagement metrics to inform backlog prioritization and continuous improvement. Develop and manage documentation (PRDs, user stories, discovery artifacts), and sprint planning in partnership with the Tech Lead and development teams. Drive experimentation to improve Web CMS Capability, Digital Channel Enablement Capabilities, Engagement Capabilities, and Patient Apps outcomes. Leverage outcome metrics to articulate the capability's value proposition and its impact, promoting capability awareness across CX operations and foster a culture of engagement and feedback in partnership with Activation. Required Knowledge, Skills, and Abilities Technical Skills Experience designing scalable capability frameworks, prioritization logic, and governance standards. Strong understanding of web content management systems (e.g., Drupal), digital channel enablement tools (e.g., SEO/SEM, social media), and patient-facing digital applications. Knowledge of digital channel activation, web governance, CRM-driven personalization, and compliant digital engagement frameworks, including how platform configuration and integration design impact campaign execution, patient journey continuity, and engagement quality. Experience working within Agile product development and product operating models. Experience with tools such as JIRA, Confluence, or similar product management and collaboration platforms. Experience using AI, automation, or agentic workflows to enhance learning design, delivery, or learning operations Experience partnering with end users across product discovery, design, and deployment. Business Skills Customer Journey Understanding - ability to see customer's end-to-end experience clearly and use it on an ongoing basis for go to market strategic, tactical and measurement decisions, while anticipating needs across touchpoints. Make practical decisions that improve journey and outcomes. Cross functional Matrix Collaboration - ability to work fluidly across teams and reporting lines respecting SME, coordinating shared work, ensuring progress even when accountability is distributed - supporting decisions with professional alignment and focus on collective success. Deeply understands and values unique capabilities and perspectives of diverse functions. Problem Solving - ability to break down complexity, identify root causes, and experiment with solutions using an adaptive, learning oriented approach. Managing Competing Priorities - ability to navigate shifting demands with clarity and adaptability, focusing effort where it creates the greatest future impact while keeping work moving. Decision Making - ability to make transparent, criteria-based decisions by weighing options, risks, and implications and aligning others around the path forward. Continuous Improvement - ability to regularly improve processes/products through reflection and iteration, generates new options and approaches when constraints exist, growth mindset, challenges status quo. Required/Preferred Education and Licenses Qualifications: Bachelor's degree in business, technology, marketing, science . click apply for full job details
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIefcef4ad0d85-0085
08/02/2026
Full time
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIefcef4ad0d85-0085
