251 jobs found

Job Description Job Description BEPC is actively looking for Document Control Assistant in Phoenix, AZ area! W2 Contract - 8 months with possible extensions! Benefits include medical, dental, vision, and life insurance Pay Rate: $19.00 - $21.81 /hour - Determined based on experience (Paid weekly) Work Model: Onsite role - 2-4 years of experience in the field or in a related area. Note : This is a W2 only role - C2C, C2H will not be considered BEPC is seeking a highly motivated Document Control Assistant to join our client's site in Phoenix, AZ. This role will support the scanning and archiving of physical files into a digital environment, including scanning microfiche using onsite equipment, capturing images into PC folders through scanner software, and ensuring all required images are successfully captured. The Document Control Assistant will also assist in preparing and maintaining documentation pertaining to programming, systems operation, and user documentation, as well as translating business specifications into user documentation. The role works under general supervision and typically reports to a supervisor or manager. Summary of Duties and Responsibilities: Scan microfiche using an onsite scanner. Capture scanned images in folders on a PC using scanner software. Ensure all required images are properly captured. Adjust the scanner as necessary using provided tips and guidelines. Scan and archive physical files into a digital environment by following clear directions. Monitor scanner or similar office equipment to ensure proper functioning. Notice equipment issues and make adjustments when equipment is not functioning properly, including trying multiple solutions. Traverse, create, and copy folders using Windows 10/11, both locally and on network shares. Assist in preparing and maintaining documentation pertaining to programming, systems operation, and user documentation. Translate business specifications into user documentation. Perform a variety of tasks under general supervision. Use limited experience and judgment to plan and accomplish goals. Main Qualifications: Education: High School Diploma/ GED. Associate degree or equivalent preferred. Ability to follow clear directions to scan and archive physical files into a digital environment. Strong detail-oriented skills to ensure quality output. Basic office and communication skills. Ability to operate a scanner or similar office equipment with the attention required to ensure proper functioning. Ability to notice and adjust equipment when improperly functioning, including trying multiple solutions. Ability to traverse, create, and copy folders in Windows 10/11, locally or on network shares. Familiarity with standard concepts, practices, and procedures within a particular field. A certain degree of creativity and latitude is required. Preferred Qualifications: 2-4 years of experience in the field or in a related area. About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. Apply Now! Qualified candidates are encouraged to apply by submitting an up-to-date resume that highlights how your experience aligns with the role. Please include specific examples that demonstrate your qualifications. We look forward to connecting with you! Company Description About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. Company Description About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.

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

Job Description Job Description Location: Poway, CA Job Type: Full-time (40 hours/week), Non-exempt (hourly), In-Person Department: Quality Reports To: Quality Manager About the Role: The purpose of this position is to support the Quality Departments ability to achieve its goals. This includes accurate and timely programming and inspection of parts as well as review of incoming material, work-in-process and customer shipments to achieve AMT quality and business objectives and comply with AS9100 standards. Other duties may be assigned as needed. Key Responsibilities: Load parts, fixtures, and probes; execute existing CMM programs. Write, develop, validate and debug measuring machine programs and provide the supporting documentation for CMM inspections. Communicate with all machinists, supervisors, and engineers to meet customer/shop floor needs. Troubleshoot and solve both machine issues and related problems in the measuring process. Perform 1st piece, in-process and last piece inspection using micrometers, calipers, comparators, various gauges and CMM equipment according to AMT, customer and AS9100 standards. Complete customer PPAP requirements including control plans and inspection reports. Perform incoming material inspection tasks according to AS 9100 procedures and counterfeit awareness per AS6174. Perform final inspection according to AS 9100 procedures. Perform process and manufacturing audits and follow-up with corrective actions. Cross train across multiple departments as needed. Perform data collection and communication tasks in ERP and other applications. Comply with all Advanced Machining and Tooling policies and procedures Other duties as assigned. Qualifications: 3+ years of CMM operating and 1+ years of CMM programming. Strong specific knowledge of blueprint reading, GD&T, setup, tooling and fixture techniques. Ability to create inspection reports, perform 1st article/in-process/final inspection reports. Knowledge of inspection tool usage such as Micrometers, Calipers etc. Good typing skills and ability to use software such as word, excel etc. Knowledge of how CAD models work. Demonstrated critical thinking abilities and root cause analysis. Strong attention to detail and accuracy. Proficient use of shop arithmetic and strong math skills. Awareness of general safety, and quality systems. High School Diploma or GED. Nice to Have: Bachelor's degree in mechanical engineering or related discipline. Rock skills. Specific applied knowledge of aerospace quality procedures and AS9100. Knowledge of non-destructive testing, metal finish processes, Metallurgy and heat treatment processes Working knowledge of CNC machining, tool, fixture, work-holding and die design. Ability to understand CMM reports. Total Rewards Package The hourly pay range for this position is $30 - $45 per hour (depending on experience). This is a permanent, non-exempt (hourly), full-time position. Medical Coverage Dental Coverage Vision Coverage 10 days paid vacation annually 5 days of paid sick leave annually 401K Plan with matching 12 Paid Holidays Additional Benefits: Flexible spending account Life insurance Parental leave Professional development assistance Employee Assistance Program Work Authorization/Security Clearance The company requires access to information, or technology that is subject to the International Traffic in Arms Regulations (ITAR) and other US government security regulations. These laws do not permit access rights to non-US citizens, or to other unauthorized individuals. This position is subject to a background check, drug test, and reference check. Must be a United States Citizen, or US Permanent Resident. AAP/EEO Statement Advanced Machining and Tooling LLC provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Ability to commute/relocate to work location: Poway, CA 92064: Reliably commute or planning to relocate before starting work (Required) Why Join Us: AMT is a place full of hardworking people creating things. We are service orientated and work to always take good care of our customers and our people. It's also a place where people are given opportunities to learn and grow with the support of our hi Monday - Friday 7:00 AM - 3:30 PM PST 40 hours weekly with the potential for optional overtime

City/State Norfolk, VA Work Shift First (Days) Overview: Sentara is hiring a Senior Business Systems Analyst! This position is fully remote. Overview Position is responsible for support, enhancement and implementation software applications used within the organization. Oversees and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Description Incumbent will identify opportunities to leverage technologies in areas that improve and enhance the business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technology functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Education Bachelor's degree preferably in a field such as Computer Science , Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology ( Required ) or Candidates without a bachelor's degree with 6 or mo re years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Advanced SQL experience (Required) Experience with EDI-834 files (Required) Experience working with QNXT and/or Facets is nice to have Member enrollment experience is a plus. Experience with Clarity - ID card-related configuration and member eligibility processes is a plus Experience with Medicaid, commercial health plans, and marketplace coverage is a plus. Proficiency in SQL, HTML, and CSS (Preferred) We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $69,876 - $116,438. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities Talroo-IT We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $100,817.60 - $149,656.00 annually. Additional compensation may be available for this role, such as shift differentials, standby/on-call pay, overtime, shift premiums, extra-shift incentives, or bonus opportunities. Compensation within the range may vary based on qualifications, experience, location, market conditions, and business needs. Note: If an annual salary is posted, it is based on a full-time colleague working 2,080 hours annually. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Job Description Job Description Position: Documentation Specialist Location: Paola, KS Job Summary Under the general direction of the Manager of Engineering and day-to-day direction of the Documentation Coordinator, the Documentation Specialist is responsible for supporting all aspects of document control, data book generation, and mail distribution. Main Job Duties / Responsibilities Ensure a safe working environment is maintained at all times. Review, revise, and maintain all documentation processes and procedures. Work closely with the Project Managers, Project Engineers, and other departments to ensure contractual documentation obligations are met. Expedite customers, suppliers, and internal personnel to ensure documentation flow supports the overall production schedules. Process, record, distribute/submit, and file project transmittals and controlled documents. Receive, distribute, and file incoming controlled documents (i.e. drawings, weld procedures, etc.) Develop Data Books including: accumulation, segregation, organization, copying/scanning, and submittal. Distribute and control Engineering Standards, Quality Standards, and QA Manuals. Sort and distribute incoming mail; Prepare outgoing mail and deliver to Post Office. Assist in the evaluation and selection of software required to perform document control activities in an efficient manner. Qualifications Any combination of education and experience providing the required skill and knowledge is qualifying. Typical qualifications would be equivalent to: Education/Experience High School Diploma required. Associate's Degree preferred. Skills Strong organizational skills Good oral and written communication skills Strong interpersonal communication skills Good time management skills Good multi-tasking capabilities Ability to work independently with little direct supervision Proficiency with computers (eg. web base sites) Proficient working knowledge of computer programs, including Microsoft Office products, and Adobe required. Valid driver's license and proof of insurability The successful candidate will receive a competitive salary and an attractive benefits package including: 401(k), medical, dental, life insurance, flexible spending account, paid holidays and vacation time. All candidates will be subject to drug & alcohol screening and a background check prior to employment. EOE/Veterans/Disabled Company Description Taylor Forge Engineered Systems, Inc. is a leading manufacturer of large steel fabricated products for the energy, chemical, and aerospace industries. Company Description Taylor Forge Engineered Systems, Inc. is a leading manufacturer of large steel fabricated products for the energy, chemical, and aerospace industries.

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

Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, (Bedford, MA) Salary Range: $105-115,000.00 depen ding on experience, certifications, and qualifications JOB STATUS: Full-Time; Salaried SECURITY CLEARANCE: Secret clearance required at time of hiring Astrion has an opportunity for a Configuration Manager to directly support the Cyberspace Security and Control System (CSCS) program, which is within the C3I and Infrastructure Division (AFLCMC/HNI) and located at Hanscom AFB, MA. REQUIRED QUALIFICATIONS: Bachelor's degree in a related field and at least five years of experience in the respective technical / professional discipline, three of which must be in the DoD OR, seven years of directly related experience with proper certifications as described in the PWS labor category performance requirements, five of which must be in the DoD. PREFERRED QUALIFITICATIONS/SKILLS: IT CM experience within the DoD environment Experience performing hardware and software configuration audits Experience performing the technical/administrative activities necessary to manage CM tools for inventory control, version control, data duplication, and media labeling. Experience producing release notes and CM reports An in-depth understanding of the configuration change control process, the role of the Change Control Board, and change control documentation Experience performing baseline administrative activities for multiple environments Experience developing briefings for management Understanding of all phases of the software development life cycle Ability to enter and manipulate data in a database Strong attention to detail Strong organizational skills and the ability to multi-task Ability to work independently and with a team Experience in MS Office Suite software require RESPONSIBILITIES: Assist in developing and administering CM plans; maintaining design traceability and integrity; convening and managing change boards; and preparing for and attending major events such as, but not limited to, Technical Interchange Meetings, Preliminary Design Reviews, Critical Design Reviews, Physical Configuration Audits, Functional Configuration Audits, and Configuration Control Boards. Provide configuration and CDRL data manager (CM/DM), quality assurance, program/project, requirements analysis, risk management, and software engineering support services in accordance with the program's Configuration Management (CM) Plan, Air Force SEAM CM processes, program development/sustainment contracts, and PMO practices. Support activities will range across the CM, quality assurance, program/project, requirements analysis, risk management, and software engineering activities outlined in the task order PWS. Activities will vary depending upon the current activities of the program/system, scope of the current development/sustainment cycle, and other corporate and program initiatives. The individual must have progressive experience in managing configuration of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits to enable Government ownership of the program technical baseline. The individual must have skills and experience necessary to perform the following tasks: Provide CM of all relevant program artifacts Archive acquisition documentation Review and analyze the development/sustainment Contractor's CM program and data deliveries for accuracy, completeness, and compliance Maintain CM files including configuration identification, change control, and status accounting records Convene and manage the Configuration Control Boards, Technical Review Boards, and record approved changes and results Participate in cross-functional change control boards to evaluate proposed changes. Review and analyze proposed changes to ensure operational and sustainment capabilities are not adversely affected by the changes Review the Configuration Control Board membership list for currency and completeness. Support Engineering Assessments Prepare for, conduct, and/or support major audits such as Physical Configuration Audits and Functional Configuration Audits Record and maintain assessment and audit findings, minutes, and action items Report the Development/Sustainment 's data delivery status Support pre- and post-contract award data reviews Review and analyze the development/sustainment Contractor's conformance to CDRL requirements Process Government and development/sustainment Contractor correspondence. Support the establishment of workflows Track data item deliverables and responses Support development/sustainment of paper and automated archival systems of all covered documentation Work closely with program management, systems engineers, quality managers, draftsmen and design/manufacturing engineers in an integrated product team environment Develop and administer CM plans Maintain design traceability and integrity Assist the Government with configuration control for IT systems. This shall include configuration planning, data analysis, maintenance of configuration documentation and data, and maintaining inventory/configuration status Manage configurations of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits. The Contractor must have skills and experience necessary to work closely with program management, systems engineers, quality managers, and design engineers in an integrated product team environment Support review boards via meeting attendance and capture meeting minutes including the Configuration Control Board Track Change Requests and Discrepancy Reports/Problem Reports Ensure integrity of the baseline including major releases, minor releases, patches, and software maintenance Provide Quality Assurance checks on system baselines Support Licensing tasks and packaging and delivering of software to users Maintain the CM library and software repository Manage and control product baselines Recommend and document comprehensive CM plans for software, hardware, firmware, and peripherals for IT systems Analyze data and prepare plans and briefings in support of software-driven systems Perform studies and monitoring effectiveness of CM plans to identify potential and existing problems and make recommendations for resolution Audit and review IT system configurations Control the configuration of IT systems Identify and maintain all baselines Oversee the CM USAP Self Inspection Checklists, input results in MICT Create and maintain revisions to the CDRL packages Prepare and issue Data Calls Convene, manage, and participate in Data Requirements Review Boards and record approved requirements Receive and distribute CDRL data deliverables Maintain distribution lists of points of contact (POCs) of CDRL data deliverable for program's method of transmittal (i.e., a common mailbox, Integrated Digital Environment, CD-ROM, etc.) Ensure integrity of CDRL justification forms Monitor Contractor compliance of CDRL data deliverables Provide CM/DM input into all program documentation. Hanscom Campaign

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 mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook 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

Job Description Job Description Location: Poway, CA Job Type: Full-time (40 hours/week), Non-exempt (hourly), In-Person Department: Quality Reports To: Quality Manager About the Role: The purpose of this position is to support the Quality Departments ability to achieve its goals. This includes accurate and timely programming and inspection of parts as well as review of incoming material, work-in-process and customer shipments to achieve AMT quality and business objectives and comply with AS9100 standards. Other duties may be assigned as needed. Key Responsibilities: Load parts, fixtures, and probes; execute existing CMM programs. Write, develop, validate and debug measuring machine programs and provide the supporting documentation for CMM inspections. Communicate with all machinists, supervisors, and engineers to meet customer/shop floor needs. Troubleshoot and solve both machine issues and related problems in the measuring process. Perform 1st piece, in-process and last piece inspection using micrometers, calipers, comparators, various gauges and CMM equipment according to AMT, customer and AS9100 standards. Complete customer PPAP requirements including control plans and inspection reports. Perform incoming material inspection tasks according to AS 9100 procedures and counterfeit awareness per AS6174. Perform final inspection according to AS 9100 procedures. Perform process and manufacturing audits and follow-up with corrective actions. Cross train across multiple departments as needed. Perform data collection and communication tasks in ERP and other applications. Comply with all Advanced Machining and Tooling policies and procedures Other duties as assigned. Qualifications: 3+ years of CMM operating and 1+ years of CMM programming. Strong specific knowledge of blueprint reading, GD&T, setup, tooling and fixture techniques. Ability to create inspection reports, perform 1st article/in-process/final inspection reports. Knowledge of inspection tool usage such as Micrometers, Calipers etc. Good typing skills and ability to use software such as word, excel etc. Knowledge of how CAD models work. Demonstrated critical thinking abilities and root cause analysis. Strong attention to detail and accuracy. Proficient use of shop arithmetic and strong math skills. Awareness of general safety, and quality systems. High School Diploma or GED. Nice to Have: Bachelor's degree in mechanical engineering or related discipline. Rock skills. Specific applied knowledge of aerospace quality procedures and AS9100. Knowledge of non-destructive testing, metal finish processes, Metallurgy and heat treatment processes Working knowledge of CNC machining, tool, fixture, work-holding and die design. Ability to understand CMM reports. Total Rewards Package The hourly pay range for this position is $30 - $45 per hour (depending on experience). This is a permanent, non-exempt (hourly), full-time position. Medical Coverage Dental Coverage Vision Coverage 10 days paid vacation annually 5 days of paid sick leave annually 401K Plan with matching 12 Paid Holidays Additional Benefits: Flexible spending account Life insurance Parental leave Professional development assistance Employee Assistance Program Work Authorization/Security Clearance The company requires access to information, or technology that is subject to the International Traffic in Arms Regulations (ITAR) and other US government security regulations. These laws do not permit access rights to non-US citizens, or to other unauthorized individuals. This position is subject to a background check, drug test, and reference check. Must be a United States Citizen, or US Permanent Resident. AAP/EEO Statement Advanced Machining and Tooling LLC provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Ability to commute/relocate to work location: Poway, CA 92064: Reliably commute or planning to relocate before starting work (Required) Why Join Us: AMT is a place full of hardworking people creating things. We are service orientated and work to always take good care of our customers and our people. It's also a place where people are given opportunities to learn and grow with the support of our hi Monday - Friday 7:00 AM - 3:30 PM PST 40 hours weekly with the potential for optional overtime

Job Description Job Description Company Description Working at Knobelsdorff Along with building state-of-the-art projects, we build meaningful careers, lasting opportunities, and teams of dedicated individuals who truly own their work. As a leading turnkey specialty contractor specializing in Automation, Electric, Energy, and Power Services, our team tackles challenging, cutting-edge projects that provide opportunities to build new skills, confidence, and gain valuable hands-on experience in a variety of different industries. We tackle industrial electrical installations, advanced automation systems, and renewable energy solutions. Since our founding as a family-owned company in 1988, we've grown while staying true to our core value. Starting your career with Knobelsdorff (KE) means joining a culture that values your contributions, moves quickly, takes calculated risks, and celebrates team members who step up and own their work. If you're ready to join a team where your voice matters, your growth is supported, and your impact is celebrated, KE is the place for you. Job Description This role supports KE Automation by designing, developing, and commissioning SCADA and HMI systems for complex industrial automation projects. You'll be responsible for creating intuitive operator interfaces, integrating automation systems, and delivering visualization solutions that directly impact operational efficiency, system reliability, and customer success. Success in this role means delivering scalable, user-friendly control systems that help customers operate safely and efficiently while supporting successful project execution from design through startup. All of this is accomplished while upholding KE's commitment to Safety, People, Passion, and Performance. If you're someone who takes pride in solving complex problems and seeing your work come to life in real-world facilities, this position is built for you. What You'll Do You'll be part of a team that gets things done, works with purpose, and takes pride in the results. Your day-to-day responsibilities may include: Design and develop SCADA and HMI applications for industrial automation projects. Create intuitive operator interfaces focused on usability, reliability, and performance. Configure alarming, trending, reporting, historian, and security functions within SCADA platforms. Develop reusable graphics, templates, faceplates, and visualization standards. Integrate PLCs, instrumentation, VFDs, databases, historians, and third-party systems. Configure industrial communication protocols including OPC UA, Modbus TCP/IP, and EtherNet/IP. Participate in system architecture, software design, and functional reviews. Perform Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and commissioning activities. Troubleshoot software, communication, and control system issues during startup and operation. Collaborate with customers, project managers, and engineering teams to optimize system functionality. Follow KE development standards, documentation practices, and quality procedures. Support continuous improvement initiatives related to software standards, engineering tools, and project execution. Qualifications What You Bring You're someone who shows up ready to work hard, learn fast, and contribute to a team that takes pride in doing things right. Successful candidates typically bring: Bachelor's degree in Electrical Engineering, Computer Engineering, Automation Engineering, or a related field, or equivalent industry experience. 3+ years of industrial automation, SCADA, or HMI engineering experience. Experience developing industrial SCADA and HMI applications. Experience with platforms such as Ignition, FactoryTalk View, AVEVA System Platform (Wonderware), Siemens WinCC, VTScada, ICONICS, Cimplicity, or similar technologies. Understanding of industrial networking and communication protocols. Experience integrating major PLC platforms including Rockwell Automation, Siemens, Schneider Electric, Beckhoff, or similar systems. Strong troubleshooting, analytical, and problem-solving skills. Ability and willingness to travel for commissioning, startup, and customer support activities. Bonus Points For Ignition Gold Certification or equivalent experience. Experience with SQL databases. Experience with scripting languages such as Python, JavaScript, VB.NET, or similar. Familiarity with MQTT and Industrial IoT architectures. Knowledge of ISA-101 HMI design principles and visualization best practices. Experience with industrial historians, reporting tools, and cybersecurity concepts. Familiarity with Git or other version control systems. Experience supporting mission-critical, manufacturing, or regulated industrial environments. Additional Information Pay Range We believe in paying for the value you bring to the team, and we aim to be competitive in every market we hire in. Pay Range: $100,000- $120,000 per year Total Rewards Statement As a full-time employee at KE, you'll have access to a comprehensive benefits package designed to support your health, wellbeing, and future. 100% employer-paid health and dental coverage for employees HSA contributions to support your medical expenses Company-paid life insurance and disability coverage 401(k) with competitive company match Performance-based incentives Paid weekly with competitive wages PTO, six paid holidays, and education reimbursement Exclusive employee discounts through Working Advantage We believe your work should be rewarded with more than just a paycheck. At KE, we invest in your total wellbeing. Physical Requirements The physical demands described here are representative of those that must be met to successfully perform the essential functions of this job. Reasonable accommodation may be provided for individuals with disabilities. Typical requirements may include: Ability to sit, stand, walk, kneel, and stoop for extended periods Ability to lift and carry up to 50 lbs Ability to work in close proximity to team members in a production environment Accessibility: If you need accommodations as part of the employment process, please contact KE Human Resources at . Equal Opportunity Employer (EEO) Knobelsdorff (KE) is an EEO to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, citizenship, veteran status, or any other protected characteristic under applicable federal, state, or local law. Applicants have rights under Federal Employment Laws: EEO is the Law (English/Spanish) KE participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. For more information about E-Verify, please review the E-Verify Participation and Right to Work posters If you need accommodation during the hiring process, let us know and we'll work with you.

Job Description Job Description About Company Name Paragon Professional Services LLC (Paragon) is a BSNC company. Paragon received 8(a) certification from the Small Business Administration in August 2016. Paragon offers a wide range of environmental investigation, consulting, compliance, and remediation services as well as IT solutions, Facility O&M, Materiel Support, Supply and Security to both private- and public-sector clients throughout Alaska and the Continental U.S. Paragon's experienced professional staff is dedicated to producing high-quality documentation and providing safe field execution to support its clients' projects in line with local, state and federal guidelines and regulations. About this position: Project Manager Location - Anchorage, AK The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via email or phone within ten business days regarding application status. Essential Duties & Responsibilities Monitor safety, quality control, and efficiency on projects Prepare project submittals, work plans, and reports Manage document production and review Interfacing with the client, internal teams, and subcontractors to provide reports and ensure quality deliverables Meet schedule performance and financial objectives by tracking and forecasting project progress and requirements Supervise technical staff responsible for preparing, updating, and maintaining plans, permits, and standard operating procedures for projects. Coordinating, supervising, and reviewing work of assigned project personnel to ensure accuracy and completeness. Lead and support business development and proposal preparation. Estimating self- performed/subcontractor work, pricing the labor, equipment, and material costs. Manage subcontractors. Occasional travel to remote Alaska jobsites will be required. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's degree in sciences and/or engineering Level of Experience Requirements : Five plus (5+) years' project management experience in environmental remediation and investigation activities Recent experience with federal clients including AFCEC, NAVFAC, USACE, and/or USEPA Experience with CERCLA, RCRA, and ADEC regulations and processes Ability to travel to and work on remote project sites when required Ability to pass a background check to obtain access to military bases Knowledge, Skills, Abilities, and Other Characteristics Excellent written and verbal communication Proficiency in Microsoft Office suite Advanced computer skills Experience with scheduling software (Prima Vera P6 or MS Schedule) Ability to identify value-engineering alternatives Prior advanced cost proposal and work breakdown development experience. Ability to prepare and review technical documents Must be task oriented, self-motivated, and have the inherent ability to multitask, work under pressure, meet deadlines and work as team member as well as a team lead Experience investigating and remediating contaminated sites Preferred Professional licensing in Engineering is strongly preferred, professional licensing or registration in Geology, or Project Management certification will also be considered Master's degree in science and/or engineering Current 40 Hour HAZWOPER and 8 Hour Refresher Current Alaska experience with federal clients including AFCEC, NAVFAC, USACE, USEPA, and others GIS Experience Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This position requires the ability to maneuver contaminated and construction sites, see, hear, and verbally communicate with co-workers and clients. Essential and marginal functions may require maintaining physical condition necessary for sitting, walking, or standing, lifting, pushing, pulling, twisting, reaching, squatting, stretching, bending for prolonged periods of time; at times lift and carry as much at 50 pounds. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in a modern office setting in Anchorage, Alaska with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. This position also requires driving and working outdoors in extreme heat/cold and possibly snowy or rainy weather. Must be able to navigate all typical environmental worksite conditions. May require extended travel for various remote project sites. Supervisory Responsibilities This position will have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

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 ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. 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 Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture 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 engineering solutions, 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 software 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 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 application layers - from feature scoping through implementation. 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). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and 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. 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. 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 Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. 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 $175,000-$325,000 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 mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PId3db67961ac9-6984

Job Description Job Description Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications. Key Responsibilities: AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows. LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience. Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments. Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes. System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure. Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions. Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions. Must-Have Qualifications: Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software. Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools). LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures). Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations). MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools. Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation. Good-to-Have (Optional but highly valued): Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).

AI Engineer 5 (FM Hosting, LLM Inference) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

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

AI Engineer 5 (SDK's: Gen AI Evaluation and MCP) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 5 (Gen AI Platform Services - Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

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

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).