186 jobs found

City/State Norfolk, VA Work Shift First (Days) Overview: Sentara is hiring a ServiceNow Principal Domain Architect! This position is fully remote! Overview The domain architect proactively and holistically leads and supports EA activities that guide the development and management of domain and infrastructure solutions. These solutions enable the organization's future-state business capabilities and drive the organization's targeted business outcomes. Technologies include data centers, infrastructure, cloud, mobile, AI, Internet of Things (IoT), blockchain, edge computing, and immersive experiences technologies. Domain architects provide the leadership, facilitation, analysis, and design tasks required for the development of an enterprise's technical and infrastructure architecture. Domain architects create deliverables that help develop target-state guidance (standards, guidelines, individual parts, platforms, and configurations) for evolving the technical infrastructure across the enterprise, in order to enable business strategy and deliver targeted business outcomes. They enable and orchestrate the delivery of targeted business outcomes by facilitating and making technical decisions. A Specialist Professional is a recognized subject matter expert in a job area, typically obtained through advanced education and work experience. Responsibilities typically include • Managing large projects or processes with limited oversight from the manager. • Coaching, reviewing, and delegating work to lower-level professionals. • Problems faced are difficult and often complex. Education 8+ years of relevant experience with a degree (Required) or 10+ years of relevant experience without a degree (Required) Certification/Licensure ServiceNow Architect Certification (Preferred) Experience 10 to 12 years of ServiceNow experience over all ServiceNow experience (Required) Minimum 2 to 3 years of ServiceNow architect-level experience (Required) ServiceNow experienced, certified Architect Strong familiarity with ServiceNow Suite (e.g., ITSM, SPM, FSM, ITOM, IRM, EA etc) and platform wide analytics, AI, reporting and Virtual Agent a plus. Proven ability to communicate effectively with both business and technical stakeholders. Demonstrable ability to work independently, with a focus on best practice architectural design and analytical problem-solving and critical thinking. Familiarity with system/software engineering lifecycle principles, including requirements analysis, functional and technical solutions development, and application support. Experience working with large datasets, performing data analysis/modeling, and contributing insights for management decision-making. Talroo-IT, Indeed ServiceNow, ServiceNow Architect, ITSM, SPM, FSM, ITOM, IRM, EA, ServiceNow Architect Certification, SNow, Domain architect, Principal Domain Architect, Architect We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $153,670.40 - $228,009.60 annually. Additional compensation may be available for this role, such as shift differentials, standby/on-call pay, overtime, shift premiums, extra-shift incentives, or bonus opportunities. Compensation within the range may vary based on qualifications, experience, location, market conditions, and business needs. Note: If an annual salary is posted, it is based on a full-time colleague working 2,080 hours annually. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Job Description Job Description Position: RF Systems Engineer II - Test & Communications Program/Support Area: TacAir RIL Location: San Diego, CA Level: Mid to Senior Telework: TBD - role requires laboratory and controlled test environment support Travel: As needed to support test events and evaluation activities Salary: $111,000-$141,000 XSITE LLC is seeking an RF Systems Engineer II - Test & Communications to join our team full-time in support of TacAir RIL engineering, integration, and test activities . This opportunity is well suited for an RF Communications Engineer, RF Test Engineer, or Systems Engineer with experience integrating, testing, and assessing radio communication systems across hardware and software components. The role will focus on RF and waveform behavior, communications performance, systems-level technical analysis, and test execution in laboratory and controlled test environments. We are a Service-Disabled Veteran-Owned Small Business headquartered in San Diego. We provide full-spectrum systems and systems-of-systems engineering and integration services and solutions for space, C5ISR, cyber, and enterprise information systems. Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Responsibilities Integrate, test, and assess radio communication systems across hardware and software components. Conduct RF- and waveform-focused testing in laboratory and controlled test environments. Analyze test results to identify system behavior, performance limits, and RF stress points. Evaluate communications performance under complex RF conditions. Use RF test and measurement equipment and supporting software tools to collect and interpret data. Improve test approaches, analysis methods, and technical products where beneficial to the effort. Prepare clear technical reports, summaries, and supporting engineering data products. Collaborate across engineering disciplines to support integrated system evaluations. Support day-to-day laboratory activities, integration efforts, and test events to keep technical work on track. Travel as needed to support test events and evaluation activities. Required Qualifications Bachelor of Science degree from an accredited college or university in electrical engineering, computer engineering, physics, mathematics, applied science, computer science, or a related technical discipline. Active Top Secret security clearance. Experience integrating and testing radio communication systems across hardware and software components. Experience analyzing RF or communications test results and preparing technical reports and/or related data products. Experience using RF test and measurement equipment and associated software tools. Knowledge of waveform behavior, RF system performance, and digital signal processing. Experience assessing communications performance in complex RF environments. Ability to travel to support test events. Ability to learn new test, measurement, and analysis methods and apply them to practical engineering work. Experience working in a fast-paced environment supporting work ranging from detailed technical analysis to routine test and team support. Clear written and verbal communication skills. Preferred Qualifications Experience across multiple RF bands. Knowledge of radio data links. Experience with waveform analysis, interference mitigation, or signal-processing applications. Experience using modern engineering analysis tools and workflows. Experience working across multidisciplinary engineering teams. Master's degree in electrical engineering, physics, mathematics, or a related field. Why XSITE LLC? Best-in-Class Benefits & Work-Life Balance Industry-leading PTO package, starting at 15+ days annually. Seven (7) paid company holidays annually, including New Year's Day, Memorial Day, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day. 100% employer-paid employee coverage for Medical, Dental, Vision, and Basic Life Insurance. Employees enrolled in our High-Deductible Health Plan (HDHP) are eligible for a Health Savings Account (HSA) with monthly employer contributions. Eligibility to participate in XSITE's 401(k) retirement plan with up to a 6% employer match. Eligibility to receive tuition reimbursement of up to $5,250 per year for job-related education. University of San Diego education benefits, including a 10% tuition discount on select online degree programs and a 25% discount on certificate programs. Cell phone stipend. Hybrid work environment, where contract and mission requirements permit. Additional employee benefits offered through ADP. Stability & Long-Term Growth Prime contract holder supporting long-term Department of Defense programs. Mentor-Protégé Joint Venture partnership with a major defense company. Opportunities to support complex, mission-focused engineering efforts across multiple technical domains. Continued organizational growth creating opportunities for employees to expand their responsibilities and technical experience. Career Advancement Work alongside experienced engineers, technical leaders, and program professionals across multiple disciplines. Opportunities to broaden technical expertise through hands-on integration, test, modeling, analysis, and systems engineering work. Exposure to advanced defense technologies and mission-critical programs. Opportunities for increased responsibility as XSITE and its customer programs continue to grow. Support for professional development through job-related education, training, and continuing learning opportunities. About XSITE LLC XSITE LLC is a Service-Disabled Veteran-Owned Small Business providing systems engineering, integration, modeling and simulation, software development, cybersecurity, and technical services to Department of Defense customers. Our team supports complex mission environments by combining practical engineering experience, technical innovation, and a commitment to delivering solutions that meet real-world operational needs. XSITE LLC is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.

Job Description Job Description Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We are world leaders in RF, EMP, Pulsed Power, Acoustics and Signal Processing; partnering with our customers to address real world problems with cost effective solutions that work. The Artificial Perception and Threat Awareness (APTA) division at Scientific Applications & Research Associates, Inc. (SARA) is making the future of Aerospace and Autonomy happen now, with a charter to create new and emerging sensor perception technologies for Commercial & Military markets. Our innovative technologies include RF, optical and acoustic sensors enabled with innovative embedded algorithms, machine learning and robust networking. The APTA division is looking for an exceptionally talented, motivated, and creative Research and Development Engineer to support research & development (R&D) as well as product prototyping and low-rate production efforts in Cypress, CA. The selected candidate will have the opportunity to grow and learn with other talented engineers, software developers, physicists, and technicians on varied programs supporting government agencies, their contractors, and commercial entities. The selectee will have the freedom to exercise their initiative, adaptability, drive, and of course, engineering skills in a fast-paced, highly technical environment. The R&D Engineer will be a part of small R&D and/or product development teams - helping to bring ideas and theories to practice and then to physical reality. This is a hands-on job that will have you in the lab or workshop as much as you are on the computer. As part of R&D efforts, you will perform experiments, analyses, and design/build proof of concept hardware to demonstrate feasibility in practice. On product development teams, you will design, fabricate, assemble, integrate, and test prototype or low-rate production systems to meet customer or business needs. In either capacity, the R&D Engineer will support and embrace the roles and responsibilities defined by program leadership. Core Responsibilities: Creating and maintaining comprehensive project documentation Using and continually developing technical skills Working with Functional Management to ensure continuity of training, tasking, and assignments Performing other related duties as assigned Key Competencies: Solid knowledge of engineering principles Critical thinking and problem solving Strong analytical skills Good judgement Excellent communication skills Independence and self-motivation Ability to work effectively within large and small teams Adaptability Requirements: Bachelor's Degree in an engineering discipline (i.e., mechanical, electrical, software, aerospace, etc.) GPA 3.5 or higher 0 to 5 years applicable experience Physical ability to assemble and manipulate small electronic and mechanical assemblies, as appropriate Physical ability to work with laboratory and test equipment, as appropriate Strong written and verbal communication skills Experience with Microsoft Office tool suite US citizen with the ability to obtain and maintain a DoD Top Secret clearance May require Moderate physical effort, including standing, sitting, and use of hands while performing duties, and carrying or lifting up to 50 pounds Working environment is indoor, moderately loud, reasonably clean, well-lighted, and well-ventilated; moderate physical hazards may exist Preferred Qualifications: Graduate degree in an engineering discipline or physics GPA 3.5 or higher Experience with SolidWorks or other CAD software Experience with OrCAD or similar electronic design tool MATLAB experience LabVIEW experience Conversant in some of the following subjects: Mechanical design, Electrical and Electronic design & operation, Artificial Intelligence, Machine Learning, Computer Science, Signal Processing algorithms, Electromagnetic/Radio Frequency/Acoustic phenomenology SARA offers a competitive benefits package to include: Medical, dental, vision, disability and life insurance; and other supplemental programs A generous PTO program (vacation, sick, holiday) Tuition & certification reimbursement Flexible work schedules Discretionary Employee bonuses 401(k) match/profit sharing Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $70,000 to $90,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA's total compensation package for employees. Positions are on-site, unless indicated otherwise. SARA is an equal employment opportunity employer.

Job Description Job Description Job Summary: The Senior RF Engineer will perform a team leader role in RF wireless network engineering work in support of projects and tasks in the Fixed Wireless, Private LTE / CBRS, WiFi and other wireless networks. The primary function involves RF Design for new sites, RF Optimization and performance engineering and GIS mapping. Providing RF Engineering support is also expected for wireless projects, which includes design, configuration and testing of the wireless network both remote and on site. Duties and Responsibilities: a. Provides supervision in RF Engineering design for sites in the wireless network. Requires the ability to use RF planning and mapping software tools. b. Project coordination and supervision of RF Engineering design and implementation support for wireless network projects. Requires understanding of wireless standards, GIS mapping, software tools and experience with hardware supplies including but not limited to Nokia, Airspan, Mimosa, Cambium, Ruckus, ARRA and others. c. Act as team lead in Performing RF Optimization work. Collection and post processing of data is required to accomplish task. In addition, RF analysis of collected data and recommending resolution to issues is required. d. Provides guidance to the development of a process plan, material needs, subcontract requirements, facility needs, and tooling and equipment needs. e. Perform site selection through cell planning, review and approval process. Coordination with the client is required. f. Supervise and Coordinates work with other RF Engineers, technicians and contractors. RF drive test preparation, search area map preparation for new sites and problem resolution with RF equipment vendors are some of the expected responsibilities. g. Provides engineering support for business development and sales activities. h. Performs activities associated with the effective management of internal site databases and coordination with other groups as needed. i. Ability to learn new wireless technologies, features, capabilities and improvements is expected. j. Perform presentations of wireless projects and provide easy to understand reports of technical plans. k. Responsible for following, supporting, and enforcing all internal control processes and procedures. l. Works well within a team environment. m. Some travel will be required. Qualification Requirements: a. At least 5 years related experience and/or training ; Bachelor's degree in Electrical Engineering is desired but not required. b. Team lead role for RF planning, knowledge of wireless fundamentals and operation of optimization tools. Experience with licensed and un-licensed wireless equipment suppliers. c. Certified Wireless Network Administrator (CWNA) is desired. Professional board certification is desired. d. Salary commensurate with experience.

Job Description Job Description Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most well-established engineering companies in the United States. When you join WM you become part of a company that is: - 100% employee-owned company with over 40 years of industry history - A Top 5 Systems Integrator Giant - ENR top 500 firm at The Controls and OT Engineer will interact directly with the customer and could lead a team of Wunderlich-Malec engineers in identifying requirements, developing specifications, and implementing/testing/commissioning/qualifying automation solutions. This position requires strong problem-solving ability, well-balanced people skills, an aptitude for business efficiency, and an interest in creating partnerships. The Controls and OT Engineer demonstrates success by securing repeat work with both new and existing customers. Major Responsibilities This position requires the ability to deliver innovative automation solutions and design standards either self-directed or as a leader of a team. The candidate must have the ability to conceptualize, detail, and implement control systems for industrial processes and machinery that meet our customer's requirements. This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility. Knowledge of controller programming languages such as Ladder, Sequential Function Chart, Structured Text, and others to achieve the desired results is preferred. Also having knowledge of standard programming languages such as VBA, .NET, and SQL for the development of HMI/SCADA systems is required For larger systems, experience with industrial networking used to connect control system components and instrumentation is preferred. The Controls Engineer will design, document, and implement a variety of fiber, wired, and wireless systems using industrial protocols (Ethernet/IP, Profinet, Modbus, etc.). The ideal candidate must have a diverse engineering skillset with the ability to work independently. Will act as technical lead on projects and guide junior engineers and technicians. Could also act as Project Manager on smaller projects Minimum Requirements Education A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science is preferred. Required Experience 6+ years with capabilities in the below areas: In-depth understanding of HMI/SCADA hardware/software platforms such as ICONICS Genesis64, Wonderware ArchestrA System Platform, GE CIMPLICITY, GE iFIX, Rockwell Automation FactoryTalk View, Schneider, and Siemens Various 3rd party web-based data integrations for monitoring and troubleshooting aid Develop work processes to automate template and instance development within the System Platform Provide technical leadership on design standards around graphics, alarming, and scale-up SQL, .NET, Power BI, Grafana, and APIs Understanding of PLC hardware/software platforms such as Rockwell Automation, Siemens, and Modicon In-depth understanding of DCS hardware/software platforms such as Emerson DeltaV or similar Experience in industries such as Food and Beverage, Oil & Gas, and/or Material and Grain Handling Experience in design of electrical schematics, including power distribution under 480VAC, control panels, and associated NEC references desired Experience with AutoCAD is also desired Experience leading a team of engineers/technicians to provide control system solutions a plus Experience mentoring less experienced engineers Professional references, preferably one from each of the following: a subordinate, a peer, and a manager Ability to travel up to 30%. Physical Demands of Position Seeing, color perception, hearing, clear speech, dexterity in hands, driving, lifting, ability to mount/dismount equipment, pushing, and pulling. Working Environment Standard office environment, on-site office environment, diverse industrial environments, frequent use of a personal computer, facsimile/copy machines, phones. Our People Empowered Employee-Owners - As owners of Wunderlich-Malec, we are invested in its success. We hire top talent and empower them to take initiative, drive innovation, and deliver impactful solutions Motivated & Rewarded - We invest in continuing education and offer world-class benefits, ensuring our employee-owners stay motivated, fulfilled, and future-ready Positive & Committed - Our experts bring long-term dedication and a positive, can-do attitude to every project Industry-Smart - Recognized leaders in their fields, our employee-owners stay sharp through ongoing training and deep knowledge of evolving industry trends Job Descriptions are not exhaustive lists of all skills, responsibilities, or efforts associated with a job. They reflect principal job elements essential for performing the job and evaluating performance. Wunderlich-Malec is proud to offer a comprehensive employee-owner benefit package. Full-time employees may be eligible for the following benefits: Medical • Dental • Vision • Basic and Supplemental Life and AD&D • Long Term Disability • Voluntary Short Term Disability • Healthcare & Dependent Care Flexible Spending Accounts • Health Savings Account • Paid Time Off (PTO) • Paid Holidays • Tuition Reimbursement • Referral Bonus Program • 401(k)/Profit Sharing • 100% ESOP (Employee Stock Ownership Plan) • Employee Assistance Program • Will Preparation Resources • Worldwide Travel Assistance Salary Range The expected salary range is $85,000 - $150,000 per year depending on qualifications plus a discretionary bonus and employee stock program.

Job Description Job Description Associate Quotations and Submittal Coordinator Department: Sales Classification: Administrative Support Location : Vancouver, WA Schedule : Monday to Friday 7:00 a.m. to 4:00 p.m. Hourly Rate: $31.00 to $37.00 DOE Looking to grow your career with an industry leader that values its team? CHC is hiring an Associate Quotations and Submittal Coordinator ! In this key role, you will analyze bid specifications, prepare competitive project quotes, and organize vital submittal data to deliver an exceptional customer experience. Why Choose CHC? At CHC, we empower our employees to grow with us through internal advancement opportunities and a highly supportive culture: Robust Benefits Package: Enjoy a competitive salary accompanied by generous PTO and paid holidays. Employee Stock Ownership Plan (ESOP): Build long-term wealth and share directly in the financial success of our company. Tuition Reimbursement: Invest in your professional development with continuous learning assistance. Key Responsibilities Quotations: Review mechanical/plumbing plans, perform equipment take-offs, extract bid documents from electronic exchanges, and prepare competitive project quotes. Collaboration: Partner closely with Outside Sales Engineers, branch offices, and Business Development teams to align with regional sales strategies. Submittals: Prepare, update, and deliver accurate product submittal documentation to customers, keeping organized master job files. Customer Service: Maintain clear communication and provide top-tier support to clients, vendors, and internal teams. Qualifications & Skills Education: High School Diploma required; College degree preferred. Skills: Strong critical thinking, high attention to detail, proficiency in arithmetic operations, and ability to read construction plans/specifications for mechanical and plumbing equipment. Software: Proficiency in Microsoft 365 and Adobe Acrobat. Experience with Salesforce, NetSuite, or estimating tools is a plus! Communication: Excellent written and verbal English communication skills with strong time management ability. Ready to Advance Your Career? APPLY NOW! CHC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, gender, national origin, disability, age, sexual orientation, or any other legally protected status.

Job Description An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary The GRC Automation & Continuous Controls Monitoring (CCM) Senior Cybersecurity Engineer is a strategic and technical role, responsible or helping turn GRC into a trust engine for the business: reducing audit friction, improving business risk exposure visibility, accelerating evidence readiness, and enabling stronger operational confidence. The role serves as the technical focal for GRC automation, developing automated evidence collection, control testing, risk intelligence, and AI-enabled governance capabilities across cloud, on-premises, identity, operational technology (OT), and security platforms. The role collaborates closely with Cyber Fusion, Enterprise Architecture, and Cyber Engineering, to design and build deterministic control-testing logic where deterministic approaches are enough; and AI agents and LLM-backed workflows where reasoning, summarization, or judgment is required, such as evidence-to-control mapping, attestation drafting, drift detection, and audit-package assembly. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities Conducts detailed analyses on changes to cybersecurity solutions and its relationship to internal and external systems to assess control effectiveness and cybersecurity risk. Resolves complex multi-functional technical issues. Leverages cybersecurity assessments, standards, control testing methodologies, and compliance frameworks to ensure compliance across security systems. Improves the efficiency and effectiveness of Security solutions, governance processes, automated controls, and monitoring capabilities. Analyzes existing processes and procedures and leads efforts for implementing improvements, automation opportunities, or remediation activities. Responsible for development and submission of Standard Operating Procedures. Analyzes business impacting events, performs initial investigation, and evaluates control performance, exceptions, and risk indicators through continuous monitoring activities. Investigates and analyzes the nature and scope of cyber incidents, control failures, and compliance exceptions. Assists in the development of risk mitigation and remediation plans to ensure regulatory and internal compliance. compliance. Leads implementation of global security initiatives, policies, compliance requirements, and continuous control monitoring practices. Collects, validates, and reports security metrics, control performance results, and remediation efforts associated with them. Manages cyber security-related consulting, guidance, and support to customers and stakeholders. Translates security principles to assist configuration teams with incorporating security and compliance requirements into build and configuration processes. Monitors emerging IT/OT, cybersecurity, automation, and artificial intelligence technologies as well as their impact on the security, risk, and compliance landscape. Education and Experience Bachelor's Degree in Information Technology, related field or equivalent experience. 5+ years of relevant experience required Experience designing, implementing, and scaling GRC, CCM, or compliance automation solutions within a regulated environment required Experience in Python or comparable automation technologies, proficient in developing, integrating, and supporting automated workflows and REST API-based data integrations across multiple enterprise systems required. Hands-on experience integrating security-control data sources into a GRC / CCM evidence pipeline for continuous control testing required. This includes normalizing API, telemetry, configuration, vulnerability, identity, ticketing, and assessment data into control-level evidence, exception logic, ownership, frequency, and audit-ready records across at least three domains such as CNAPP / CSPM, SIEM / security data lake / XDR, CTEM / VM / ASPM, DSPM, ITSM, IAM, GRC / CCM, or AI/agent governance required. Experience building LLM-backed agentic workflows on Azure AI Foundry, GitHub, or open-source frameworks preferred. Familiarity with NIST AI RMF, the OWASP LLM Top 10, or comparable AI risk frameworks preferred. Skills Adaptability - Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful. AI Fundamentals - Understanding of core AI concepts and methods, ability to apply AI to job-relevant use cases and capacity to contribute to organizational AI reimagination. Change Management - Change Management refers to a systematic approach for defining and implementing procedures and/or technologies to deal with changes in the environment. It can mean adapting to change, controlling change and/or effecting change. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Cybersecurity Risk Management - The process of developing cyber risk assessment and treatment techniques that can effectively pre-empt and identify significant security loopholes and weaknesses, demonstrating the business risks associated with these loopholes and providing risk treatment and prioritization strategies to effectively address the cyber-related risks, threats and vulnerabilities, ensuring appropriate levels of protection, confidentiality, integrity and privacy in alignment with the security framework. General Programming - Applies a computer language to communicate with computers using a set of instructions and to automate the execution of tasks. Intrusion Detection - The use of security analytics, including the outputs from intelligence analysis, predictive research and root cause analysis in order to search for and detect potential breaches or identify recognized indicators and warnings. Also, monitoring and collating external vulnerability reports for organizational relevance, ensuring that relevant vulnerabilities are rectified through formal change processes. Penetration Testing - The practice of testing a computer system, network or web application to find security vulnerabilities that an attacker could exploit. Penetration testing can be automated with software applications or performed manually. Relationship Management - Relationship Management is the conscious aim to develop and manage long-term and/or trusting relationships with internal or external customers, distributors, suppliers, or other parties in an environment which can include marketing, selling, servicing and other areas where a relationship is crucial to on-going success. At a senior level, it includes C-level relationships with senior management. Security Controls - Manages and maintains an information system that focuses on the management of risk and the management of information systems security. Security Governance - The process of developing and disseminating corporate security policies, frameworks and guidelines to ensure that day-to-day business operations are guarded and well protected against risks, threats and vulnerabilities. Security Information & Event Management (SIEM) - A set of tools and services offering real-time visibility across an organization's information security systems, and event log management that consolidates data from numerous sources. Security Policy Management - The process of identifying, implementing, and managing the rules and procedures that all individuals must follow when accessing and using an organization's IT assets and resources. Threat Analysis - Monitor intelligence-gathering and anticipate potential threats to an IT/OT systems proactively. This involves the pre-emptive analysis of potential perpetrators, anomalous activities and evidence-based knowledge and inferences on perpetrators' motivations and tactics. Threat Hunting - Searches through networks, endpoints, and datasets to detect and isolate cyber threats that evade existing security solutions. Vulnerability Management - The process of defining, identifying, classifying and prioritizing vulnerabilities in computer systems, applications and network infrastructures and providing the organization with the necessary knowledge, awareness and risk background to understand the threats to its business MINIMUM QUALIFICATIONS: Bachelor's Degree in Information Technology, related field or equivalent experience. Professional certification, e.g. Security+, Network+, OSCP, GIAC, CEH preferred. 5+ years of relevant experience required As an energy industry leader, our career opportunities fuel personal and professional growth. Location: San Antonio, Texas Additional locations: Findlay, Ohio, Houston, Texas Job Requisition ID: Location Address: 19100 Ridgewood Pkwy Education: Employee Group: Full time Employee Subgroup: . click apply for full job details

Job Description Job Description Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world's largest electronics manufacturer and leading provider of technological solutions with a network of over 233 campuses across 24 countries. In the US, Foxconn employs 8,000 across 56 different sites with manufacturing operations in Virginia, Wisconsin, Ohio, Indiana, Texas, and California. As of 2025, Foxconn ranks 28th among the Fortune Global 500 and reported revenue of approximately USD $259 billion. The company's diverse product offerings span four major segments: smart consumer electronics, cloud, and networking solutions, computing, and various other components. Foxconn makes 40% of the consumer electronics that we find in our everyday lives. In recent years, Hon Hai has adopted the 3+3 strategy, focusing on three emerging industries - electric vehicles, digital health solutions, and robotics - while leveraging three key technologies: next-generation communications, artificial intelligence (AI), and semiconductors. Together, these initiatives position the company as a leader in innovation for the 21st century. Hon Hai Technology Group is deeply committed to championing environmental sustainability within its manufacturing processes. By integrating sustainability into its operations framework, the company strives to serve as a best-practice model for global enterprises, enhancing corporate responsibility while meeting the growing demand for environmentally conscious production methods. Job Summary: The primary purpose of the AI Server / Rack R&D BMC (Baseboard Management Controller) Engineer (focused on L10/L11 execution) is to own the out-of-band management firmware initialization, system telemetry calibration, and remote monitor validation across fully integrated AI rack platforms. This role directly contributes by programming, testing, and debugging the specialized BMC microcontroller firmware (often based on Open BMC or AMI Mega RAC). This ensures that the entire 100kW+ rack infrastructure can be safely powered on, remotely monitored, thermally throttled, and diagnosed out-of-band by Tier-1 hyperscale operating frameworks. Duties and Responsibilities: Perform BMC bring-up and validate out-of-band management functions for server platforms, including system monitoring, remote management, event logging, and hardware telemetry. Troubleshoot BMC-related issues and verify reliable communication between the BMC, system components, and management interfaces. Configure and calibrate system sensors for temperature, voltage, current, fan speed, and power monitoring, and tune thermal and power protection thresholds to ensure accurate telemetry, safe system operation, and compliance with platform requirements. Develop, customize, and validate Redfish API functionality to support server management and telemetry requirements while aligning BMC interfaces and data models with hyperscale customer profiles, platform specifications, and applicable management standards. Analyze BMC event logs, hardware failure records, and diagnostic data to identify system faults and failure patterns. Collaborate with hardware, firmware, and validation teams to determine root causes, support corrective actions, and improve system reliability. Develop and maintain automated scripts and tools for BMC firmware flashing, configuration, and validation to improve engineering efficiency and consistency. Implement and verify firmware changes associated with Engineering Change Orders (ECOs) to ensure proper deployment, traceability, and compliance with approved requirements. Education: Bachelor of Science (BS) Degree in Computer Engineering, Computer Science (with a strong foundation in embedded systems, Linux kernel development, or hardware-software interfacing), or Electrical Engineering (paired with extensive embedded firmware development experience) Experience: 1+ years of Embedded BMC Firmware Implementation & Testing 1+ years of Hardware Sensor Bus Architecture & Communication 1+ years of Redfish API & Hyperscale Management Protocol Customization 1+ years of Hardware-Software System Bring-Up & Diagnostics Physical Demands & Working Conditions: Frequently remains stationary while performing BMC development, telemetry analysis, and diagnostic activities, with occasional movement within laboratory, server, and testing areas. Frequently operates computers, server systems, and diagnostic/test equipment and occasionally handles server components, cables, and related hardware during system bring-up and troubleshooting. Occasionally bends, reaches, crouches, or positions self to access server/rack equipment, inspect hardware connections, and perform configuration or validation activities. Frequently exchanges technical information with hardware, firmware, validation, and cross-functional engineering teams to troubleshoot issues and coordinate technical changes. Frequently works in office, engineering laboratory, and server/test environments and may be exposed to operating equipment, elevated noise levels, and temperature variations; appropriate PPE may be required. EEOC Statement Foxconn is an equal opportunity employer that is committed to diversity and inclusion in the workplace. Foxconn prohibits discrimination and harassment of any kind and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, sexual orientation, ethnicity or national origin, age, disability, marital status, genetics, pregnancy, or any other protected characteristic as outlined by federal law. In addition to federal law requirements, Foxconn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.

Job Description Job Description: Digital Scholarship Associate Location: Job ID: 88760 JOB POSTING HOW TO APPLY For full consideration, applicants should attach their resume and cover letter when applying for a job opening. For guidance related to the application process or if you are experiencing difficulties when applying, please review the Applicant Resources on our website. How to Apply Troubleshooting Tips for Applicants FAQ's INITIAL REVIEW DATE (IRD) UC Santa Cruz jobs are posted until filled. All application materials submitted by 11:59 pm on the IRD will be routed to the hiring team for consideration. NOTE: Applicants who miss the IRD are still encouraged to apply; their materials will still be forwarded for consideration if requested by the hiring team. Application materials cannot be accepted outside of the jobs portal. Applications cannot be edited on an applicant's behalf. For more information about the IRD and the applicant review process, view this link. The IRD for this job is: 10-07-2026 ABOUT UC SANTA CRUZ UC Santa Cruz is a public university like no other in California, combining the experience of a small, liberal arts college with the depth and rigor of a major research university. It's known as an unconventional place where innovation and experimentation is part of the campus's DNA. That playful, bold spirit still thrives today, all on a campus renowned as among the most beautiful in the world. DEPARTMENT OVERVIEW The University Library Center for Digital Scholarship () is a growing program that provides student access to technology and experiential learning in a low-barrier environment. We foster student engagement with digital research in and out of the classroom and support faculty growth through pedagogy and research support. The Center encompasses our programming across two physical spaces: The David Kirk Digital Scholarship Commons (DSC) in McHenry Library and the Digital Scholarship Innovation Studio (DSI) in the Science & Engineering Library. This position is based on site in both the DSC and the DSI. A key part of our diversity, equity, and inclusion philosophy in our work () is making both of our spaces open and inviting to students of all backgrounds along with targeted outreach to support these goals. The successful candidate will play a key part in our efforts to create an inclusive program. More information can be found at: JOB SUMMARY Under the direction of the Director of the University Library Center for Digital Scholarship, the Digital Scholarship Associate is responsible for: Directing and monitoring the daily operations at the Digital Scholarship Commons Service Desk (DSC) at McHenry Library Directing and monitoring the daily operations at the Digital Scholarship Innovation Studio (DSI) at the Science & Engineering Library Managing and supervising students that work for the Library Center for Digital Scholarship Developing and implementing policies and procedures for use of library circulation systems Developing and implementing policies and procedures for the DSC & DSI Managing and maintaining equipment in both the DSC & DSI Participating in library-wide and system-wide committees Participating in section-wide cross-training and process improvement activities APPOINTMENT INFORMATION Budgeted Salary: $83,598.52 - $86,976.98 / Annually. Salary commensurate with skills, qualifications and experience. Under California law, the University of California, Santa Cruz is required to post a reasonable estimate of the compensation for this role. The salary shown above is the budgeted amount the University reasonably expects to pay and the salary extended should not exceed this posted amount. Benefits Level Eligibility: Full benefits Schedule Information: Full-time, Fixed Percentage of Time: 100%, 40 Hours per Week Days of the Week: Mon-Fri Shift Includes: Day Employee Classification: Career appointment Job End Date: None Work Location: UC Santa Cruz Main Campus Union Representation: CX - Clerical & Allied Services Job Code Classification: 004445 (LIBRARY PROFL 4 CX) Travel: Never or Rarely JOB DUTIES 30% - DIGITAL SCHOLARSHIP EQUIPMENT SUPPORT Maintain Library Management System records for Digital Scholarship equipment and keep up with best practices. Work with Digital Scholarship librarians to manage the organization and ordering of equipment for the DSC and the DSI through CruzBuy and OneCard systems, including new equipment, replacement parts, pieces for equipment kits, and other operational needs. Supervise the work of the Digital Scholarship Student Leads to maintain equipment and equipment records. Oversee safe equipment use, safety procedures/training, and working with the library operations team and campus Environmental Health and Safety to ensure equipment and environment meet campus standards. Troubleshoot and perform repairs to equipment, including researching potential solutions, communicating with vendors, and consulting with digital scholarship librarians as needed. Maintain, update, and perform regular equipment inventory. Assist with implementation of new technology as needed. Serve as the Digital Scholarship point of contact for Library ITS in relation to DSC and DSI space needs, including lab software updates and lab and media viewing rooms equipment repairs. Maintain and update website content related to equipment and spaces. 20% - STUDENT MANAGEMENT AND ENGAGEMENT Provide supervision to approximately 20 casual employees (student assistants) in both the David Kirk Digital Scholarship Commons and the Digital Scholarship Innovation Studio. Support the development of student employees with varying levels of prior work and technical experience. Manage student hiring process: Write job descriptions, recruitment justifications, post staff vacancies for recruitment, make hiring decisions or recommend student workers to be hired. Train Digital Scholarship student workers on Alma, Springshare, and other software systems Collaborate with Digital Scholarship Librarians to identify, schedule, and support training opportunities for Digital Scholarship related equipment for student workers. Maintain a student manual for student worker related work in collaboration with Digital Scholarship staff and librarians. Work with the Digital Scholarship team to maintain consistent student worker policies across both spaces, including performance expectations, monitoring performance, providing corrective action, and recommending employee selection, corrective action, and dismissals. Ensure that student schedules for the DSC and DSI provide adequate coverage for library users. Coordinate student backup where available. When student coverage is not sufficient to meet desk coverage needs, work on the affected desk or coordinate desk closure as a last resort. 20% - DIGITAL SCHOLARSHIP USER SERVICES SUPPORT Serve as the Digital Scholarship lead on equipment checkout policy and collections best practices and implementation. Frequently collaborate with other library departments in support of equipment checkout such as Metadata Services and User Services & Resource Sharing. Provide input on strategic directions and goals related to Digital Scholarship policy, collections, and circulation, working with the Director of the Library Center for Digital Scholarship and other library departments as required to identify and lead related initiatives. Direct and monitor the daily operations of the Digital Scholarship Commons Service Desk at McHenry Library and the Digital Scholarship Innovation Studio Service Desk at the Science & Engineering Library. Inform patrons of library policies related to Digital Scholarship materials; teach patrons how to locate materials and how to look up digital scholarship equipment related materials; refer requests as appropriate. Provide patron education and support for Digital Scholarship supported technology in the DSC and the DSI, such as audio equipment in the Audio Production Studio, video equipment in the Video Production Studio, and makerspace equipment in the Digital Scholarship Innovation Studio. Assist patrons in identifying the appropriate Digital Scholarship equipment for their needs and direct unresolved issues as appropriate. 10% - PUBLIC SERVICE Assist patrons in-person at multiple service desks and virtually through email and live chat. Manage and resolve difficult patron interactions. Assist in triage of Digital Scholarship email tickets Check materials in and out, place holds, recalls, and searches; renew materials; assign barcodes to materials that have never been checked out; answer phones, transfer calls and take messages; accept materials for digital scholarship equipment related processing. Maintain confidentiality as required by Library, University, and system-wide policy. Execute emergency procedures as outlined in the Library Emergency Manual. 10% - ADMINISTRATIVE Administer the Digital Scholarship billing/overdue and fine policies. Respond to Digital Scholarship billing appeals. Exercises independent judgment in waiving fines. Act as Digital Scholarship liaison to User Services & Resource Sharing team and Alma/Primo team Support the Director of the Library Center for Digital Scholarship with short- and long-term planning for the department. 10% - MISCELLANEOUS Participate in Digital Scholarship department meetings. Seek out and participate in recommended professional development opportunities. Participate in unit, department, library, and systemwide initiatives. Assist other units as necessary and participate in ad-hoc special projects as assigned. Support Digital Scholarship events, including event planning, setup/takedown of materials, and incorporating student help as appropriate . click apply for full job details

Job Description Job Description Pay Rate: The annual base salary range for this position is $86,880-114,030. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company. We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills. Position Location: Camp Lejeune, NC Telework/Work-from-Home Authorized: Yes - When Authorized/Hybrid About the Role: The Tactical Systems Engineer - Mid provides on-site technical and analytical support to MARSOC units in support of mission planning, execution, and post-mission activities. This role ensures the operational readiness and availability of classified and unclassified mission planning systems supporting combat and contingency special operations. The engineer will administer mission planning environments, provide GIS and geospatial support, maintain secure and non-secure networks within planning facilities, and deliver user training to operational personnel. Success in this position requires experience operating within classified DoD environments, supporting time-sensitive operational timelines, and enabling mission planning capabilities in dynamic and high-demand settings. Administer and maintain classified and unclassified mission planning systems, including installation, configuration, updates, system imaging, testing, and end-user support. Provide GIS, mapping, and imagery support by managing geospatial datasets, performing geo-registration, maintaining map servers, and producing mission-specific digital map products. Manage and troubleshoot secure and non-secure LAN environments within mission planning facilities, performing diagnostics, fault isolation, and remediation. Support mission planning system setup and teardown for exercises and operational deployments. Integrate hardware and software updates, perform configuration management, and conduct operational testing to ensure system readiness and compatibility. Deliver user training and technical instruction using a train-the-trainer methodology; develop training materials and conduct both formal and informal sessions. Maintain high system availability aligned with operational timelines and unit readiness requirements. Travel domestically and internationally in support of operational and training missions, occasionally on short notice. Additional Responsibilities Include, but are not Limited To: Assist with proposal development, as required. Perform other duties as assigned. Required Experience: Minimum of five (5) years, within the last eight (8) years, supporting Marine Corps Special Operations Forces or equivalent ground tactical SOF organization. Minimum five (5) years of experience supporting mission planning computer systems, communications systems, mission equipment, and unit mission planning for peacetime and wartime special operations. Minimum seven (7) years of total experience supporting DoD mission planning environments, navigation systems, or operational planning systems. Experience supporting classified and unclassified communications systems and mission equipment. Working knowledge of LAN administration, including troubleshooting switches, network connectivity, and domain-based environments. Experience supporting GIS, mapping, or imagery-based mission planning tools. Experience performing system imaging, configuration management, and mission system setup/teardown procedures. Familiarity with the assigned component's tactical Standard Operating Procedures (SOP) and mission guides. Desired / Preferred Experience: Experience supporting MARSOC or other SOF ground units. Familiarity with customer-specific mission planning and execution applications. Experience supporting TAK ecosystem (Android/Windows/Linux OS) in ground mission planning environments. Experience supporting ISR integration, geospatial data feeds, or sensor-enabled mission planning tools. Experience providing field support during operational deployments or exercises. Familiarity with virtualization technologies (VMware, Hyper-V). Experience producing custom digital cartographic products for operational use. Education Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline; OR Technical School certification related to computer systems; OR equivalent combination of technical training and operational experience directly aligned to mission planning support duties. Certificate, License, and Registration Requirements: Required: DoD 8570/8140 IAT Level II certification (e.g., Security+ CE) must be obtained within six (6) months of hire if not already held. Highly Desired / Preferred: A+ CE, CCNA - Security, Network+, or SSCP. Other Required Skills & Abilities: Strong written and verbal communication skills and ability to interface directly with government stakeholders. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Ability to develop cross-domain proficiency across Operations, Intelligence warfighting functions, and Tactical Mission Planning domains to support surge and crisis response requirements. Security Clearance Requirements: Secret Clearance AND be eligible for a Top Secret/SCI Clearance US Citizenship Requirements: This position supports a U.S. Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens.

AI Engineer 5 (FM Hosting, LLM Inference) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI 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 . click apply for full job details

AI Engineer 4 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 McLean, VA: $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).

AI Engineer 5 (SDK's: Gen AI Evaluation and MCP) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI 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 . click apply for full job details

AI Engineer 5 (Gen AI Platform Services - Agentic AI) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI 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 . click apply for full job details

AI Engineer 4 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 McLean, VA: $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).

AI Engineer 3 (AI Foundations) 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. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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 Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems 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: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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 5 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI 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 . click apply for full job details

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) 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 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $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).