472 jobs found

Job Description Job Description Los Altos, CA (San Francisco Bay Area) On-site Full-time MaxIT Consulting is looking for a Backend Engineer, Applied Agents to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies. The Opportunity You will design, build and operate the agent layer and the backend systems that power it: agents that carry out multi-step tasks inside real workflows, call tools reliably, run code in sandboxed environments, keep context and deliver verifiable results. Key Responsibilities Build the agent runtime and harness, tool-calling infrastructure, sandboxed code execution and agent memory. Own reliability and observability of multi-step agent tasks. Design and build backend services and APIs on Python, FastAPI and Postgres. Design and operate vector databases, semantic search and RAG systems, tuning quality and latency. Build large-scale ingestion, cleaning and indexing pipelines for scientific and regulatory documents. Ground AI outputs in source data with traceable, verifiable citations. Work directly with founders, domain experts and early customers, owning outcomes. Required Qualifications 2+ years shipping and operating production backend systems end to end. Strong fundamentals in API design, data modeling, databases and system reliability. Hands-on production experience with LLM systems: RAG, vector databases and agents. Has built, or deeply traced, an agent runtime or harness: tool calling, sandboxing, memory. Ships fast on incomplete specs and uses AI coding tools (Claude Code, Cursor) daily. Nice to Have Built an in-house agentic harness or internal tools to boost a team's agentic development. LangGraph or agent frameworks in production; AWS, Terraform and Kubernetes. Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience. Work Arrangement On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States. HOW TO APPLY Apply through this same channel with your updated resume and your expected gross annual base salary in USD.

Job Description Job Description IERUS specializes in technology research, testing, and implementation with core competencies in electromagnetics phenomenology, computational analytics (algorithm acceleration and machine learning), and weapon system engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit . IERUS participates in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques as well as RF/Optical hardware prototyping and low rate production. We generally seek to apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines. The end goal being early discovery, accelerated development, and high customer engagement. IERUS participates in projects that seek to apply advanced machine-learning (ML) and artificial intelligence (AI) to our relevant domains of expertise. Past and present areas of expertise for application of ML/AI include: RADAR Signal processing, system design, operational optimization, detection, discrimination, and tracking RF/EO/IR Signal processing, system design, signatures, tracking, and testing Electronic Warfare (EW) System design, research, testing, counter-measures Antennas System design and testing Image processing Segmentation, recognition, and denoising Critical infrastructures Process control systems, situational awareness, cyber security, anomaly detection Vehicles and vessels Situational awareness, cyber security, anomaly detection ML/AI R&D Algorithm development, GPU acceleration, global and local optimization of complex and fused data, adversarial ML, network architecture and computability Minimum Educational Experience: MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above OR: BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above Minimum Qualifications: Must be a U.S. citizen; Active Secret security clearance, preferred TS clearance and TS/SCI opportunities; Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.; Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.; Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others; Experience applying advanced math and statistics, especially optimization and related linear algebra techniques. Preferred Qualifications: PhD in Electrical Engineering, Computer Science, Computer Engineering or related field; Proficiency in at least 1 hard programming language (C/C++, Java, etc.); Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.; Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.); Publication and/or patent history of applying original solutions to relevant types of problems; Experience implementing solutions using signal processing algorithms and packages; TS/SCI clearance; Engineering experience in the defense industry; Image processing experience; Radar system analysis experience; RF Electronics experience; Antenna design and analysis experience; Software Defined Radio (SDR) experience; Analysis tool-building experience; Target acquisition, tracking and/or algorithm development; Advanced modeling skills and optimization; Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces; and / or Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics. Location: Huntsville, AL IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. IERUS Technologies participates in E-Verify.

Job Description Job Description About Us Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects. The Role We Want You For Across Clayco, people have built their own AI tools to get through the document-heavy parts of their work - reviewing submittals, finding the right procedure, pulling history off a past project. Nobody asked them to. The work is tedious, the tools were available, and no one had given them a better option. That appetite is both the opportunity and the problem. We run governed agents on a Snowflake semantic layer today, with far more of the work ahead of us than behind. The gap is between what people will build for themselves and what we can actually stand behind. You will close it. This role builds the AI applications Clayco employees use in their daily work - governed, supported, and good enough that the private versions stop being worth the trouble. The Specifics of the Role Build governed AI applications that make the ad-hoc tools people built for themselves unnecessary Build retrieval over our internal knowledge base: procedures, training content, project history, platform documentation Turn our domain model into working retrieval boundaries rather than a diagram Evaluate model and approach choices against real Clayco work rather than public benchmarks Set the prompt and context engineering standards the engineers after you will inherit Build inside our agent registry and identity model, not around it Requirements You have shipped this to real users. Retrieval and document intelligence in production, with people depending on it; not a prototype that impressed a steering committee. You evaluate honestly. You know whether a system works because you tested it on real tasks and looked at where it failed. If you have ever shipped something you knew was not ready, you know why this matters. You can work with the people who do the work. Sitting with a project engineer, watching them review a submittal, and understanding why the obvious automation would be wrong. You are comfortable early. This pillar is being built. You will have architectural latitude and fewer people to ask than you would somewhere established. Nice to have: construction or AEC background, Snowflake Cortex, n8n, document extraction at scale, experience consolidating shadow tooling into something supported. Some Things You Should Know Our clients and projects are nationwide - Travel will be required. No other builder can offer the collaborative design-build approach that Clayco does. We work on creative, complex, award-winning, high-profile jobs. The pace is fast! This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing. Why Clayco? 2025 Best Places to Work - St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal. 2025 ENR Top 400 - Top Data Center Contractor (Top 3). 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor (Top 5). 2025 ENR Top 100 Green Contractors - Green Contractor (Top 3). Benefits Discretionary Annual Bonus: Subject to company and individual performance. Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more! Compensation The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.

Job Description Job Description This is a remote position. Founding ML Engineer - Computer Vision (Object Detection) On behalf of an AI commerce tech startup Remote in North America Full-time The build: Our client is an early-stage commerce tech company building production computer vision for precise item identification and pricing. As founding ML engineer, you'll own the identification architecture, data strategy, evaluation standards, and production serving path - end to end, from foundation models fine-tuned toward a specific catalog. The problem is fine-grained: brand, model, edition, variant. "Close" isn't good enough. What you'll do Design and own the CV architecture for fine-grained item identification - starting from foundation vision models, fine-tuning toward the company's catalog. Define what "accurate enough" means per category; build calibrated confidence scoring so the product says "we're not sure" instead of guessing. Build the feedback loop between model errors and what gets labeled next, with the labeling lead. Decide where to invest: broader category coverage vs. deeper accuracy on today's categories. Own the serving path from research to production - latency, cost, reliability at scale. Represent the model's capabilities and limits company-wide - including with investors and customers. Requirements What we're looking for 5+ years applied CV, with at least one system shipped to production at meaningful scale. Hands-on fine-grained / instance-level classification - a problem where "close" isn't good enough. Fluency in PyTorch or TensorFlow; fine-tuning and deploying vision transformers or CNNs in production. Evaluation frameworks for vision models - you know when a model is actually getting better. Comfortable being the most senior technical voice on an open-ended problem with no playbook. Strong communication - you explain trade-offs to non-technical stakeholders. Nice to have: resale/marketplace (StockX, GOAT, Vinted, Rebag, The RealReal) or visual search (Pinterest Lens, Google Lens, Syte); active learning / human-in-the-loop pipelines; low-latency API serving at scale; first-ML-hire startup experience.

Job Description Job Description Dell Laptop/PC - Hardware Field Service Engineer You must complete the Dell Certifications prior to being assigned work. The Opportunity The Hardware Field Service Engineer will be providing service to multiple customers each day. Our Field Services division provides residential and commercial PC, Laptop and Server warranty repair services on Dell (OEM) products. This is hardware warranty replacements and includes laptops, desktops and servers. Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops as well as server hardware replacements is required. Responsibilities and Technical Skill Requirements Providing customer break fix support for designated equipment Communicating clearly in written and verbal form Possess excellent customer service skills Accepting and delivery of all service calls assigned Completing all administrative tasks associated with each call Responsible for control and return of assets and inventory Candidates must possess the ability to perform basic and moderately complex troubleshooting and repair activities. Position may require the exercise of moderately complex analytical skills and to make decisions based on established department and company guidelines Typically requires technical school certification or equivalent and 1-2 years of relevant experience Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops required Prior hands on experience replacing server hardware is required Availability and Other Requirements Availability requirement is 8am-6pm, Monday-Friday Some territories, on occasion, will require evening and weekend availability Work orders are assigned daily and need to be completed by the required SLA which is either next business day or same day based on the product Valid driver's license Reliable transportation with valid registration and adequate insurance Must own a basic repair tool kit including anti-static mat and wrist strap Computer and internet to complete online training, smartphone and printer All candidates are encouraged to apply, but many positions require a strict drug and background check by our customers F2OnSite supports and adheres to all state laws regarding background checks Manufacturer Warranty Certification Requirements Manufacturer Warranty Certifications provided at no cost if the technician is not already certified Certification training must be completed and passed (80% or better) prior to the technician being assigned work orders The training is completed online with 24/7 access Next Steps - Complete our Technical Assessment Complete Technical Assessment that will be sent to you directly after you complete your application. The technical assessment is not a test. It allows you to answer multiple choice questions regarding your technical experience as well as what type of position you desire. It will take you approximately 5-10 minutes to complete. Once your assessment is received, it will be reviewed. Candidates who meet the requirements for the position to which you applied will receive an email for a phone interview request with full details about the position including work order volume, coverage area and pay model. About F2OnSite F2OnSite is the fastest growing Onsite I.T. Services company in the United States and is ranked in the Top 25 fastest growing privately held companies overall. We are looking for the best and brightest technical talent to work in the field for our customers. We Are the "Boots on the Ground" for our customers. Our tag line of "Relax, we got this!" isn't just marketing: it's the reality of who we are as a company. Our Field Engineers are the heart of the company, and we care about your success. F2OnSite is an equal opportunity employer. We do not discriminate due to race, color, creed, ethnicity, sex, sexual orientation, or any other factor. Military Veterans are encouraged to apply. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description Dell Laptop/PC - Hardware Field Service Engineer You must complete the Dell Certifications prior to being assigned work. The Opportunity The Hardware Field Service Engineer will be providing service to multiple customers each day. Our Field Services division provides residential and commercial PC, Laptop and Server warranty repair services on Dell (OEM) products. This is hardware warranty replacements and includes laptops, desktops and servers. Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops as well as server hardware replacements is required. Responsibilities and Technical Skill Requirements Providing customer break fix support for designated equipment Communicating clearly in written and verbal form Possess excellent customer service skills Accepting and delivery of all service calls assigned Completing all administrative tasks associated with each call Responsible for control and return of assets and inventory Candidates must possess the ability to perform basic and moderately complex troubleshooting and repair activities. Position may require the exercise of moderately complex analytical skills and to make decisions based on established department and company guidelines Typically requires technical school certification or equivalent and 1-2 years of relevant experience Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops required Prior hands on experience replacing server hardware is required Availability and Other Requirements Availability requirement is 8am-6pm, Monday-Friday Some territories, on occasion, will require evening and weekend availability Work orders are assigned daily and need to be completed by the required SLA which is either next business day or same day based on the product Valid driver's license Reliable transportation with valid registration and adequate insurance Must own a basic repair tool kit including anti-static mat and wrist strap Computer and internet to complete online training, smartphone and printer All candidates are encouraged to apply, but many positions require a strict drug and background check by our customers F2OnSite supports and adheres to all state laws regarding background checks Manufacturer Warranty Certification Requirements Manufacturer Warranty Certifications provided at no cost if the technician is not already certified Certification training must be completed and passed (80% or better) prior to the technician being assigned work orders The training is completed online with 24/7 access Next Steps - Complete our Technical Assessment Complete Technical Assessment that will be sent to you directly after you complete your application. The technical assessment is not a test. It allows you to answer multiple choice questions regarding your technical experience as well as what type of position you desire. It will take you approximately 5-10 minutes to complete. Once your assessment is received, it will be reviewed. Candidates who meet the requirements for the position to which you applied will receive an email for a phone interview request with full details about the position including work order volume, coverage area and pay model. About F2OnSite F2OnSite is the fastest growing Onsite I.T. Services company in the United States and is ranked in the Top 25 fastest growing privately held companies overall. We are looking for the best and brightest technical talent to work in the field for our customers. We Are the "Boots on the Ground" for our customers. Our tag line of "Relax, we got this!" isn't just marketing: it's the reality of who we are as a company. Our Field Engineers are the heart of the company, and we care about your success. F2OnSite is an equal opportunity employer. We do not discriminate due to race, color, creed, ethnicity, sex, sexual orientation, or any other factor. Military Veterans are encouraged to apply. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more.

Job Description Job Description Dell Laptop/PC/Server Hardware Field Service Engineer You must complete the Dell Certifications prior to being assigned work. The Opportunity The Hardware Field Service Engineer will be providing service to multiple customers each day. Our Field Services division provides residential and commercial PC, Laptop and Server warranty repair services on Dell (OEM) products. This is hardware warranty replacements and includes laptops, desktops and servers. Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops as well as server hardware replacements is required. Responsibilities and Technical Skill Requirements Providing customer break fix support for designated equipment Communicating clearly in written and verbal form Possess excellent customer service skills Accepting and delivery of all service calls assigned Completing all administrative tasks associated with each call Responsible for control and return of assets and inventory Candidates must possess the ability to perform basic and moderately complex troubleshooting and repair activities. Position may require the exercise of moderately complex analytical skills and to make decisions based on established department and company guidelines Typically requires technical school certification or equivalent and 1-2 years of relevant experience Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops required Prior hands on experience replacing server hardware is required Availability and Other Requirements Availability requirement is 8am-6pm, Monday-Friday Some territories, on occasion, will require evening and weekend availability Work orders are assigned daily and need to be completed by the required SLA which is either next business day or same day based on the product Valid driver's license Reliable transportation with valid registration and adequate insurance Must own a basic repair tool kit including anti-static mat and wrist strap Computer and internet to complete online training, smartphone and printer All candidates are encouraged to apply, but many positions require a strict drug and background check by our customers F2OnSite supports and adheres to all state laws regarding background checks Manufacturer Warranty Certification Requirements Manufacturer Warranty Certifications provided at no cost if the technician is not already certified Certification training must be completed and passed (80% or better) prior to the technician being assigned work orders The training is completed online with 24/7 access Next Steps - Complete our Technical Assessment Complete Technical Assessment that will be sent to you directly after you complete your application. The technical assessment is not a test. It allows you to answer multiple choice questions regarding your technical experience as well as what type of position you desire. It will take you approximately 5-10 minutes to complete. Once your assessment is received, it will be reviewed. Candidates who meet the requirements for the position to which you applied will receive an email for a phone interview request with full details about the position including work order volume, coverage area and pay model. About F2OnSite F2OnSite is the fastest growing Onsite I.T. Services company in the United States and is ranked in the Top 25 fastest growing privately held companies overall. We are looking for the best and brightest technical talent to work in the field for our customers. We Are the "Boots on the Ground" for our customers. Our tag line of "Relax, we got this!" isn't just marketing: it's the reality of who we are as a company. Our Field Engineers are the heart of the company, and we care about your success. F2OnSite is an equal opportunity employer. We do not discriminate due to race, color, creed, ethnicity, sex, sexual orientation, or any other factor. Military Veterans are encouraged to apply. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more.

Job Description Job Description Dell Laptop/PC/Server Hardware Field Service Engineer You must complete the Dell Certifications prior to being assigned work. The Opportunity The Hardware Field Service Engineer will be providing service to multiple customers each day. Our Field Services division provides residential and commercial PC, Laptop and Server warranty repair services on Dell (OEM) products. This is hardware warranty replacements and includes laptops, desktops and servers. Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops as well as server hardware replacements is required. Responsibilities and Technical Skill Requirements Providing customer break fix support for designated equipment Communicating clearly in written and verbal form Possess excellent customer service skills Accepting and delivery of all service calls assigned Completing all administrative tasks associated with each call Responsible for control and return of assets and inventory Candidates must possess the ability to perform basic and moderately complex troubleshooting and repair activities. Position may require the exercise of moderately complex analytical skills and to make decisions based on established department and company guidelines Typically requires technical school certification or equivalent and 1-2 years of relevant experience Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops required Prior hands on experience replacing server hardware is required Availability and Other Requirements Availability requirement is 8am-6pm, Monday-Friday Some territories, on occasion, will require evening and weekend availability Work orders are assigned daily and need to be completed by the required SLA which is either next business day or same day based on the product Valid driver's license Reliable transportation with valid registration and adequate insurance Must own a basic repair tool kit including anti-static mat and wrist strap Computer and internet to complete online training, smartphone and printer All candidates are encouraged to apply, but many positions require a strict drug and background check by our customers F2OnSite supports and adheres to all state laws regarding background checks Manufacturer Warranty Certification Requirements Manufacturer Warranty Certifications provided at no cost if the technician is not already certified Certification training must be completed and passed (80% or better) prior to the technician being assigned work orders The training is completed online with 24/7 access Next Steps - Complete our Technical Assessment Complete Technical Assessment that will be sent to you directly after you complete your application. The technical assessment is not a test. It allows you to answer multiple choice questions regarding your technical experience as well as what type of position you desire. It will take you approximately 5-10 minutes to complete. Once your assessment is received, it will be reviewed. Candidates who meet the requirements for the position to which you applied will receive an email for a phone interview request with full details about the position including work order volume, coverage area and pay model. About F2OnSite F2OnSite is the fastest growing Onsite I.T. Services company in the United States and is ranked in the Top 25 fastest growing privately held companies overall. We are looking for the best and brightest technical talent to work in the field for our customers. We Are the "Boots on the Ground" for our customers. Our tag line of "Relax, we got this!" isn't just marketing: it's the reality of who we are as a company. Our Field Engineers are the heart of the company, and we care about your success. F2OnSite is an equal opportunity employer. We do not discriminate due to race, color, creed, ethnicity, sex, sexual orientation, or any other factor. Military Veterans are encouraged to apply. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more.

Job Description Job Description Dell Laptop/PC - Hardware Field Service Engineer You must complete the Dell Certifications prior to being assigned work. The Opportunity The Hardware Field Service Engineer will be providing service to multiple customers each day. Our Field Services division provides residential and commercial PC, Laptop and Server warranty repair services on Dell (OEM) products. This is hardware warranty replacements and includes laptops, desktops and servers. Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops as well as server hardware replacements is required. Responsibilities and Technical Skill Requirements Providing customer break fix support for designated equipment Communicating clearly in written and verbal form Possess excellent customer service skills Accepting and delivery of all service calls assigned Completing all administrative tasks associated with each call Responsible for control and return of assets and inventory Candidates must possess the ability to perform basic and moderately complex troubleshooting and repair activities. Position may require the exercise of moderately complex analytical skills and to make decisions based on established department and company guidelines Typically requires technical school certification or equivalent and 1-2 years of relevant experience Prior hands on experience replacing motherboards, hard drives, LCDs and power supplies in both laptops and desktops required Prior hands on experience replacing server hardware is required Availability and Other Requirements Availability requirement is 8am-6pm, Monday-Friday Some territories, on occasion, will require evening and weekend availability Work orders are assigned daily and need to be completed by the required SLA which is either next business day or same day based on the product Valid driver's license Reliable transportation with valid registration and adequate insurance Must own a basic repair tool kit including anti-static mat and wrist strap Computer and internet to complete online training, smartphone and printer All candidates are encouraged to apply, but many positions require a strict drug and background check by our customers F2OnSite supports and adheres to all state laws regarding background checks Manufacturer Warranty Certification Requirements Manufacturer Warranty Certifications provided at no cost if the technician is not already certified Certification training must be completed and passed (80% or better) prior to the technician being assigned work orders The training is completed online with 24/7 access Next Steps - Complete our Technical Assessment Complete Technical Assessment that will be sent to you directly after you complete your application. The technical assessment is not a test. It allows you to answer multiple choice questions regarding your technical experience as well as what type of position you desire. It will take you approximately 5-10 minutes to complete. Once your assessment is received, it will be reviewed. Candidates who meet the requirements for the position to which you applied will receive an email for a phone interview request with full details about the position including work order volume, coverage area and pay model. About F2OnSite F2OnSite is the fastest growing Onsite I.T. Services company in the United States and is ranked in the Top 25 fastest growing privately held companies overall. We are looking for the best and brightest technical talent to work in the field for our customers. We Are the "Boots on the Ground" for our customers. Our tag line of "Relax, we got this!" isn't just marketing: it's the reality of who we are as a company. Our Field Engineers are the heart of the company, and we care about your success. F2OnSite is an equal opportunity employer. We do not discriminate due to race, color, creed, ethnicity, sex, sexual orientation, or any other factor. Military Veterans are encouraged to apply. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more. Company Description F2OnSite is the fastest growing IT field services company in the United States, with hundreds of employee technicians in over 40 states. F2 OnSite performs service on computers, printers, point of sale systems, servers and other hardware technologies - including installations, migrations, deployments and break/fix. Learn more at WHAT WE DO: Our focus is Hardware: Desktops, Laptops, Servers, Printers, POS systems, and LCDs. We have hundreds of team members across the US who work Onsite at customer locations - providing hardware break/fix services, migrate data, install computers, move printers, install/fix servers and POS systems. We close thousands of service calls each week, and do whatever it takes to get our customers up and running again. We specialize in all types of technology, projects, desktop support and more.

AI Engineer 5 (Gen AI Platform Services: Agentic Systems) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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

Staff AI Engineer (Remote Eligible) 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds. Capital One is open to hiring a Remote Employee for this opportunity. 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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. . click apply for full job details

Sr. Manager, AI Engineer 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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 1 year of people leadership experience Preferred Qualifications: 3+ years of experience managing and leading an engineering team 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 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 leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs 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 Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (Gen AI Platform Services: Agentic AI) 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) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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