212 jobs found

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

DCS is seeking a motivated, experienced Software Architecture Lead with a strong background in hardware/software interfaces, real-time embedded software, and system integration, coupled with exceptional communication skills to coordinate effectively between government software developers, industry developers, and vehicle platform engineers. This position supports the Product Manager Vehicle Protection Systems (PdM VPS) integration of Active Protection Systems (APS) onto Capability Program Executive (CPE) Ground platforms. The Software Architecture Lead owns the overall structural design of the software that integrates the Vehicle Protection Systems Intelligent Protection and Engagement Response Software (VIPERS), a Software Acquisition Pathway program, with the existing Modular Active Protection System (MAPS) Framework-compliant Vehicle Base Kit (VBK). VIPERS will serve as the baseline software for both the VBK and future APS products, and provides open, standards-based interfaces through which government and industry developers integrate new capabilities. Essential Job Functions: Define, document, and maintain the VIPERS/VBK software architecture, including architecture views, software design descriptions, and interface control documents. Define the open, standards-based software interfaces, including DDS data interfaces, through which government, OEM, and third-party developers integrate with VIPERS and the VBK, consistent with Modular Open Systems Approach (MOSA) principles. Interface directly with government stakeholders, OEM providers, and subject matter experts to identify, document, and trace system and software requirements. Provide guidance and mentorship to development teams, ensuring they follow the established architectural vision. Establish and lead hardware/software design reviews with stakeholders and peers. Establish and enforce coding standards, best practices, and cybersecurity controls to minimize technical debt and ensure system reliability. Ensure the software architecture satisfies software system safety requirements under MIL-STD-882E, including the identification and partitioning of safety-significant software. Address the critical attributes of a real-time protection system, including deterministic timing and latency, fault tolerance, availability, safety, security, and maintainability. Support the program's Agile/DevSecOps practices, including configuration management, branch strategy, continuous integration, and automated test. Assist in the preparation of test plans, observe tests, and analyze test results to determine adequacy of system and subsystem performance, recommending corrective actions for deficiencies. Review and advise on preliminary design studies for new or improved items, components, structures, and major subsystems, as well as engineering changes affecting system characteristics. Ensure that system and subsystem components, structures, software, electronics, and vulnerability/survivability elements are compatible with each other and with the host platform. Ensure that engineering trade-offs in the vehicle/system design benefit overall system performance. Perform and evaluate engineering studies, such as operational and functional characteristics of assigned systems and components. Participate in the preparation of program plans, documentation, schedules, budgets, and milestones necessary for planning and executing the assigned program. Required Skills: U.S. citizenship is required due to the sensitivity of customer-related requirements. Must be able to obtain and maintain a DoD Secret clearance. Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, or a related engineering field, plus a minimum of 12 years of professional software development experience, including demonstrated experience in software architecture or technical leadership roles. Strong C/C++ knowledge, including real-time and embedded software development on Linux, and experience with Windows-based development environments. Experience defining software architectures and interfaces for medium- to high-complexity hardware/software systems, including systems and software requirements analysis, design, and integration. Experience with middleware and inter-process communication, such as DDS, gRPC, or Protocol Buffers. Experience with UML and/or SysML architecture modeling. Experience working with user representatives and formal DoD requirements documents to determine requirements for system development or integration efforts. Knowledge of software development lifecycle processes, including configuration management, peer review, and formal software verification. Self-starter able to work independently from initial guidance without direct supervision. Ability to work within a team to both direct and contribute to vehicle system integration and development efforts. Excellent technical, written, and verbal communication skills, including the ability to communicate complex concepts clearly to diverse audiences. Strong interpersonal skills, including the ability to tactfully negotiate resolution of competing programmatic demands and requirements. Strong customer service orientation, with the professional demeanor and presentation suited to daily support of the Government customer in a high-visibility role. Strong problem-solving and strategic thinking skills. Desired Skills: Project management experience, including planning, scheduling, and tracking technical work. Hardware/software interface, system architecture, and integration experience on Army ground vehicle platforms. Experience with Active Protection Systems, survivability systems, or other safety-critical weapon or fire-control software. Experience applying MIL-STD-882E software system safety practices. Experience with Modular Open Systems Approach (MOSA) and open-architecture standards. Experience with Agile/DevSecOps and the DoD Software Acquisition Pathway. Experience with Cameo Systems Modeler or MagicDraw. Active DoD Secret clearance.

We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we're expanding our team and looking for talented engineers like you to be part of this journey. You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge. Key job responsibilities - Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads. - You set high standards for development processes, tools, and automation to enhance team productivity and quality. - Own the team architecture and define best engineering practices on design and coding. - You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. - Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of non-internship professional software development experience - 7+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles PREFERRED QUALIFICATIONS - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Knowledge of machine learning model architecture and inference - Experience developing low-level systems software, networking dataplane, or performance-critical services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually

Amazon is looking for a detail-oriented individual to join our Data Center Engineering Operations (DCEO) Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. As the Data Center Senior Chief Engineer (CE), you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. You will serves as an expert technical resource reporting to the cluster leadership and interacting with onsite Engineering Operations Technicians (EOT), Chief Engineers (CE), Facility Managers (FM) and any third party vendors. Being the singular focal point for all facility operations within a given data center, you will support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. As the Senior Chief Engineer you will manage small-to-medium impacting projects at local and/or regional level from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. Creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. One of the best parts to this role is that you will direct, train and support Engineering Operation Technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. Key job responsibilities • Setting and maintaining the highest standards for safety and actively promoting a world-class safety culture in all aspects of operational procedure • Driving continuous improvement efforts on infrastructure through standardisation of procedures and policies, while delivering performance against agreed metrics • Working closely with the Operations Principal Engineer, site Chief Engineers and broader operations teams to streamline maintenance procedures, and implement standardized risk assessment protocols. • Enabling the operations organisation to delivering 100% uptime on all customer supporting infrastructure • Training and mentoring technical operations staff members on the execution of all corrective and preventative maintenance activities on all mission-critical infrastructure • Collaborating effectively with 3rd party providers to deliver operational excellence for all AWS customers • Innovation and delivery of a portfolio of strategic projects on critical infrastructure to ensure class-leading performance • The successful delivery of build-out and retrofit of facility infrastructure in existing and new regional locations through a deep technical review and execution of construction & commissioning activities by contracted providers • Ensuring organisational capability to react & respond appropriately to any potential customer impacting event on any component of electrical or mechanical infrastructure. • Elevating capabilities of site chief engineers and EOT's, establish training requirements, coordinate operational readiness testing (LLT, MOT, CCT), LSE/CSE drill & CST programs. A day in the life About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. BASIC QUALIFICATIONS - Bachelor's degree in Mechanical or Electrical Engineering, or 5+ years of relevant discipline work experience - Experience delivering results for large, cross-functional initiatives/projects - Do you have experience motivating others to meet the daily challenges of an extremely deadline-driven environment? PREFERRED QUALIFICATIONS - Do you have experience with large-scale technical operations that resulted in Field Service Bulletins Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Hermiston - 139 000.00 USD annually

Job Description Job Description Associate Planner At the City of Lone Tree, we are committed to hiring individuals who are passionate about their community, eager to grow in their careers, and motivated to make a meaningful impact. Here, you won't just take on a job, you'll join a dedicated team working to shape a vibrant, forward-thinking City. Whether you're driven by public service, energized by problem-solving, or simply seeking purposeful work alongside exceptional colleagues, you'll find your place with us. GENERAL OVERVIEW OF POSITION Under guidance, this position performs responsible and professional level work in the field of current and long-range planning by conducting plan reviews, planning studies and related activities pertaining to the administration, development and enforcement of the Comprehensive Plan, zoning and subdivision codes, design standards, and related regulations, with performance of related work as required. This position works in a team environment within the Planning Division and with other City departments, consultants and agency partners. Work includes extensive public contact, including public presentations and occasional attendance at meetings outside of regular working hours. Definition and Class Characteristics This is the full journey level position within the Planning Division. Incumbents possess and apply a broad and comprehensive scope of knowledge in the independent performance of a wide range of planning related activities. Associate Planners are responsible for daily current planning activities, as well as more complex planning assignments, with latitude for initiative and independent judgement. Employees at this level receive only occasional instruction or assistance as new or unusual situations arise. They are fully aware of the operating procedures and policies within the functional work area. ESSENTIAL DUTIES AND RESPONSIBILITIES: The following essential job functions and examples of duties are illustrative only and are not intended to be all inclusive. Duties may be modified, added or deleted at the discretion of the supervisor. Assists the public and customers with zoning and land use inquiries: answers technical questions related to land use and zoning ordinances; meets with property owners, architects, developers, realtors, appraisers, and members of the public to provide information on land use and zoning laws and regulations. Responsible for review of development proposals for compliance with City codes, guidelines and policies and best planning practices; works with applicants to refine their plans to ensure maximum conformance with City regulations and guidelines, negotiating development solutions where possible. Responsible for processing land use applications through the development review process including conducting pre-submittal meetings, reviewing zoning and subdivision applications, communicating with referral agencies and community members, developing information packet materials for Planning Commission and City Council, presenting in public forums, and inspecting development projects for compliance with approved plans. Reviews building/grading permit applications for conformance with approved development plans and land use regulations. Reviews sign permits. In conjunction with the Building Division, makes on-site inspections of developments to ensure compliance with site plans prior to issuance of building permits and certificates of occupancy. Gathers and analyzes data, prepares staff reports, maps and notices for public hearings; formulates department recommendations regarding land use requests and makes presentations at public meetings throughout the City. Researches information and prepares reports for the Planning Commission and City Council on a wide variety of planning related issues. Under the supervision of the Principal Planner and/or Planning Manager, prepares staff recommendations to the City Council and Planning Commission for action on development proposals. May assist the Planning Manager, Principal Planner, and/or Senior Planners with specialized policy initiatives and projects in areas that may include, but not be limited to, hazard mitigation, parks and trails planning, and sustainability. KNOWLEDGE, SKILLS & ABILITIES TO SUPPORT SUCCESS Interpersonal and Technical Skills Strong interpersonal, oral, and verbal skills. Must have the ability to interact effectively with individuals of varying cultural, economic, professional and educational backgrounds. This includes relationships with staff, City Council, commissions/committees, other agencies, community groups, and individual citizens. Demonstrated personal effectiveness, professionalism, integrity and credibility, thoroughness, flexibility, and collaboration skills. To include the ability to work within strict deadlines and to follow oral and written instructions. Precision and attention to details when reviewing development plans, maps and reports. Provide courteous and responsive communication to the public through effective customer service skills. Resolve complicated situations requiring diplomacy and tact and know when to engage supervisors for additional support. Excellent writing skills: the ability to prepare clear, concise, and complete correspondence, technical documents, reports, and other written materials using proper spelling, grammar, and professional writing style. Critical and creative thinking skills: the ability to assess complex planning issues and problems, analyze data, evaluate alternatives, and recommend effective courses of action regarding zoning policies and land use ordinances. Flexible, detail-oriented, and have excellent time management and organizational skills. Knowledge of Objectives, principles, procedures, standards, practices, information services, and trends in the field of local government planning. Zoning, land use, urban design, demographic, environmental, and social/economic concepts and principles as applied to local government planning. Terminology, symbols, methods, and techniques used in planning, site plans and plats. Principles and procedures pertaining to site planning, architectural review, and design. Purposes, roles, and authorities of councils, commissions, and others involved in the planning process. Requires solid knowledge of the federal, state and local regulations related to planning. Modern office procedures and methods including computer equipment, word processing, spreadsheets, database organization, graphic presentations and other needed specialized software applications, and internet and electronic communication. Working knowledge of GIS and/or graphic programs such as SketchUp preferred. Ability to Uphold the American Planning Association's Ethical Principles in Planning and embody the City's core values by aligning daily work with organizational goals. Interpret and apply laws, policies, procedures, regulations, specifications, site and building plans, environmental impact reports, data, and maps to development proposals. Ability to take initiative, be a problem solver, and work in a fast-paced and professional environment. Must be adaptive and work well within a range of team and leadership frameworks. Interpreting and explaining policies and regulations accurately and tactfully to the public to ensure understanding by the lay person. Must have outstanding presentation and public speaking skills including ability to present information concisely at public meetings. Ability to define problems, collect data, establish facts, and draw valid conclusions using a variety of abstract and concrete variables. Precision and attention to minute details when reviewing development plans, maps and reports to ensure accuracy and completeness of review, balanced with an understanding of larger organizational objectives. Maintain accurate records and collect, compile, analyze and present technical, statistical, and graphical information pertaining to planning and zoning data and research. SUPERVISION RECEIVED Works under the general supervision of the Principal Planner. SUPERVISION EXCERCISED None. QUALIFICATIONS Education/Experience Any combination of education and experience, which demonstrates the candidate possesses the required knowledge, skills and abilities to perform the essential duties and responsibilities is qualifying. Common ways to demonstrate such capabilities include: Master's degree in planning, urban design, community or regional development, natural resources, public administration or a closely related field from an accredited college or university AND a minimum of one (1) year paid professional experience in a public or private sector land use planning capacity performing duties comparable to those of the Associate Planner position. Bachelor's degree in planning, urban design, community or regional development natural resources, environmental studies, geography, public administration, or closely related field AND a minimum of three (3) years of progressively responsible experience in local government or private sector planning performing duties comparable to those of the Associate Planner position. Associate's degree in geography, geographic information systems, landscape architecture, environmental or natural resource sciences, or a closely related field . click apply for full job details

Job Description Job Description Senior Network Architect Full Time, Aberdeen, MD TS w/ SCI eligibility Referral bonus: $1,500 Sign-on Bonus: $2,500 Semper Valens Solutions is seeking an experienced Senior Network Architect to support Project Manager Intelligence Systems & Analytics (PM IS&A) and Project Linchpin, the U.S. Army's high-visibility Artificial Intelligence and Machine Learning (AI/ML) modernization initiative. This position plays a critical role in designing and optimizing the network infrastructure that enables mission-critical Army intelligence capabilities. The successful candidate will provide technical leadership in the design, analysis, documentation, and modernization of complex intelligence network architectures across the Department of Defense Information Network (DODIN-A) and Army intelligence environments. Key Responsibilities Develop, document, and maintain current ("As-Is") and future-state ("To-Be") network architectures supporting Army intelligence systems. Produce architecture products that comply with Department of Defense Architecture Framework (DoDAF) and Enterprise Architecture (EA) standards. Monitor and analyze network performance using enterprise network management and packet analysis tools to identify bandwidth constraints, latency issues, and other performance bottlenecks. Collaborate with network service providers to evaluate traffic patterns and optimize network performance across tactical and strategic environments. Design, evaluate, and recommend scalable network solutions that improve performance, resiliency, and availability. Develop technical specifications, contingency plans, and alternate routing strategies to support mission continuity. Partner with Program Executive Offices (PEOs), Army Cyber Command (ARCYBER), systems engineers, and intelligence stakeholders to translate operational requirements into modernized network solutions. Provide technical leadership and brief network architecture recommendations, risks, and modernization strategies to senior government and military leadership. Support the integration of emerging technologies while ensuring compliance with Army and DoD cybersecurity and network standards. Required Skills and Experience Extensive experience in enterprise network architecture, network systems engineering, and topology design within Department of Defense environments. Demonstrated expertise in network capacity planning, performance analysis, bottleneck identification, and infrastructure optimization for large-scale distributed networks. Strong understanding of Army and DoD networking policies, standards, and regulations, including AR 25-1 and related guidance. Experience operating within secure, mission-critical intelligence or defense environments. Proficiency with enterprise network monitoring, diagnostic, and packet analysis tools. Excellent written and verbal communication skills, including the ability to brief senior military and civilian leadership. Proven ability to lead technical teams and collaborate effectively across multiple engineering disciplines. Required Clearance Active Top Secret security clearance is required. Eligibility for Sensitive Compartmented Information (SCI) access is strongly preferred due to the nature of supported Army intelligence programs. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, Systems Engineering, Software Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical discipline. Minimum of fifteen (15) years of relevant professional experience. Substitution: A Master's degree in a related technical field and a minimum of eight (8) years of relevant experience may be substituted for the bachelor's degree and fifteen (15) years of experience requirement. Travel Travel is expected to be less than 25% and may include both CONUS and OCONUS locations. Work Environment This position is located at Aberdeen Proving Ground (APG), Maryland, and is co-located with the customer and other government contractors in secure government office facilities. About Semper Valens Solutions: Semper Valens Solutions, Inc. (SVS) is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing Cost Effective Software and Systems Engineering, Field Support, Training and Full Life cycle Support Management to the DOD and VA community. At Semper Valens, our vision is to remain a creative, cutting edge and cost-effective solutions provider where our shared intellect, industry experience, and technology excellence, make a positive difference in our customer's success. Our solutions help bridge the gap between IT and business prioritizations to optimize budgets, risks and operational processes. We search for outstanding technical professionals, hiring at all levels of the experience spectrum; intermediate, journeyman and senior. Consider us for your career plan. Semper Valens Solutions is an Equal Opportunity Employer Semper Valens Solutions proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital/parental status, pregnancy/childbirth, or related conditions, physical or mental disability, genetic information, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with Semper Valens Solutions through its online applicant system, please contact Semper Valens Solutions Human Resources Department at . Semper Valens Solutions is an affirmative action/equal opportunity employer - minorities, females, disabled, and protected veterans are urged to apply. Applicants have rights under Federal Employment Laws. All Jobs at Semper Valens Solutions:

Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databricks-enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end-to-end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change-related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL-300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git-based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Must have demonstrated hands-on experience building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro

Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Data Visualization / Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databrick enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end to end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL 300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Demonstrates expertise building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety of HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture! NeoGenomics is looking for a Principal Business Data Systems Analyst who wants to continue to learn in order to allow our company to grow. This is an hybrid onsite position in Ramsey, NJ with a Monday - Friday, day shift. Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. Position Summary: As the Principal Business Systems Analyst for the Test Compendium, you will serve as the senior technical and analytical owner for the technical design and business process enablement of NeoGenomics' enterprise Test Compendium data model-the governed source of truth for master test and product data that feeds NeoLIMS, Billing, Analytics, the website, and downstream clinical and operational systems. This role translates business requirements into clear technical specifications, user requirement specifications (URS), data-model designs, Jira ready stories, and release-ready work for developer execution. Responsibilities: Serve as the primary collector and translator of business needs into detailed functional and technical requirements, including user requirement specifications (URS), datamodel designs, user stories, acceptance criteria, and developer-ready specifications Own and evolve the Test Compendium data model-its tables, relationships, hierarchies, attributes, metadata, and related workflows-ensuring consistency, scalability, traceability, and data integrity across all environments Provide overall platform strategy and advisory guidance, evaluating design trade-offs, managing technical debt, and ensuring the Test Compendium architecture aligns with enterprise systems and long-term business goals Partner with the Enterprise Master Data Management team and Program Manager to shape and prioritize the Test Compendium roadmap, contributing technical feasibility, sequencing, level-of-effort estimates, and risk/dependency analysis Manage and oversee developer work for the Test Compendium, providing technical direction, design oversight, configuration guidance, code/configuration reviews, and quality direction to ensure work is delivered and deployed during planned release windows Experience, Educations and Qualifications: Bachelor's degree required, preferably in a technical, data, information systems, life sciences, or business field 12+ years of experience in business systems analysis, data modeling, or technical platform/application ownership Healthcare, clinical laboratory, or diagnostics IT experience strongly preferred Ability to travel up to 20% of the time Demonstrated experience translating business requirements into technical specifications, URS documentation, data-model designs, user stories, and acceptance criteria Experience owning or configuring a complex enterprise data platform or masterdata/reference-data system (specific platform experience not required; ability to learn the platform is essential) Experience partnering with business stakeholders on roadmap and prioritization, and with developers on delivery Strong data-modeling and systems-design skills, with the ability to design for accessibility, efficiency, scalability, and data quality Proven ability to decompose business needs into functional and technical requirements with clear traceability Solid understanding of system integrations, APIs, and data-distribution patterns between enterprise systems PIf339624def9a-2152

Are you passionate about assisting students in the classroom? Do you enjoy working collaboratively with others? If so, then Carlos Rosario International Public Charter School (CRIPCS) is the place for you. Carlos Rosario International Public Charter School (CRIPCS) is an adult charter school that delivers high-quality education, career training, and supportive services that enable adult immigrants to realize their dreams while strengthening our community and economy. When you join the team at CRIPCS you become part of a unique, performance-driven organization where students are the center of our work and excellence permeates. The mission of Carlos Rosario International Public Charter School is to deliver high-quality education, career training, and supportive services that enable adult immigrants to realize their dreams while strengthening our community and economy . Our organization's values guide our behavior: Integrity Respect Perseverance Compassion Inclusivity Collaboration IT Fundamentals Instructor Information Technology Fundamentals Instructor (ITF) supports the school's mission by preparing our adult students to become productive and civically engaged residents of Washington, DC. The ITF Instructor accomplishes this by providing excellent instruction that supports students' diverse educational backgrounds, learning styles, and English language abilities. The responsibilities of the position include creating materials specific to the assigned level, selecting class textbooks, designing a class syllabus, and writing daily lesson plans to directly address all student needs. The ITF Instructor is expected to engage with multiple forms of data, both formal and informal, to help students advance academically. Additionally, the role of the ITF Instructor requires the management of key data points. Student certification tracking forms, daily attendance, and student scores are examples of administrative responsibilities that extend beyond the time spent teaching in the classroom. Responsibilities: Provides practical hands-on practice to allow students to gain experience with technology hardware and software.Prepares students to take standard industry certification exams (CompTIA Tech+)Implements classroom policies and proceduresMonitors and evaluates student performance and differentiates instruction for in-person and virtual instruction.Encourages students' active participation and regular attendanceMonitors student progress through the CertMaster online platform and LMSCreates course syllabus according to content-based CompTIA exam objectives and student goalsPrepares clear, concise daily lesson plans, including daily objectivesCreates a positive learning environment for adult learnerCollaborates with the ITF paraeducator to follow up with students' performance, attendance, lesson objectives, and additional support.Collaborates with the Workforce Program Manager to expand technology-related opportunities in postsecondary education and develop partnerships with potential employers to create career pathways for students.Develops and uses e-portfolio assessment to help document student progress.Conducts student conferences at least twice during the semester (mid-semester and end-of-semester)Attends faculty meetings and professional developmentDeep commitment to CRIPCS's core values and Diversity, Equity, Inclusion, and Belonging (DEIB), and ability to model those values in relationships with colleagues and partners.Performs other duties as assigned Qualifications: At minimum, a Bachelor's degree in Information Technology, Computer Science, or related field required.At least three years of teaching experience in technologyAbility to demonstrate strong command in the use of technology in instructional duties, including but not limited to Google Suite, Microsoft Office 365, Microsoft Windows O/S, different web browsers, and Zoom; knowledge of LMS platformsMust be flexible and able to make adaptations to meet the academic needs of students with different learning skills and challengesWork comfortably with people from diverse backgroundsExcellent communication skills; be able to explain concepts to others effectivelyExcellent organizational skills and timely completion of tasks Schedule: Mondays to Wednesdays (Virtual), from 8:30 AM to 12:00 PM & 5:30 PM to 9:00 PM, and Fridays (Virtual) from 8:30 AM to 12:00 PM.Thursdays in person at the Sonia Gutierrez Campus from 8:30 AM to 12:00 PM, and 5:30 pm to 9:00 pm SALARY RANGE AND BENEFITS: We offer: A competitive starting annual salary range of $63,000.00 - $130,663.53 per year commensurate with experience. A flexible, hybrid work schedule. Competitive health benefits and retirement match (up to 6% of the base salary) after your qualifying period Deep investment in individualized professional development, inclusive of coaching, conference attendance, and tuition reimbursement. This job description does not list all the duties of the job. Supervisors may ask you to perform other related duties. DETAILS OF ROLE: FLSA CLASSIFICATION: EXEMPT REPORTS TO: ASSISTANT PRINCIPAL TYPE OF ROLE: 10- MONTH POSITION MANAGES: N/A Equal Employment Opportunity STATEMENT: Carlos Rosario International Public Charter School is an equal opportunity employer and is committed to providing equal employment opportunity in recruitment, hiring, training and development, promotion, termination, compensation and all other terms, conditions and privileges of employment. In accordance with federal and DC laws, Carlos Rosario School does not discriminate with regard to employment on the basis of race, color, religion, national origin, ethnicity, sex, age marital status, personal appearance, sexual orientation, gender identity and expression, genetic information, family responsibilities, political affiliation, disability, matriculation, veteran status, or other protected status under applicable law. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to or contact the Human Resources Department at . If possible, in your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. Compensation details: 63.53 Yearly Salary PI3430e7794ace-2933

AI Engineer 4 (Gen AI Platform Services: Agentic Systems) 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).

AI Engineer 5 AI Foundations, LLM Core and 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. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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).

AI Engineer 5 (Gen AI Platform Services: Agentic AI) 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 (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. 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

Job Description Job Description Remote Pay Rate Range: $70.00 - $75.00/hr on W2 Livescan is required Position Description: A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment. Skills: Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously. Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators Experience Required: Additional Experience Required Five (5) years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing. Five (5) years of experience in developing data pipelines using Python Three (3) years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps Education Required This classification requires the possession of a bachelor's in computer science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Additional Information: California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS. Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) 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. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. 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).