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The Taco Bell Food Champion plays and important role in producing tasty food in a quick and efficient manner. YOU will set the tone for the Taco Bell customer experience and bring the great Taco Bell tastes to life. Your role as a Food Champion is to feed people's lives with Más. You'll feed customers with great tasting food and provide great service so our customers keep coming back! You're a representation of the brand in everything you do. This is a very important job for a friendly, helpful individual who enjoys working in a fast-paced environment and paying attention to detail. Key responsibilities include taking orders or preparing food, assisting in resolving any service or food issues, maintaining food-safety standards and maintaining a clean, safe work and dining environment. A successful candidate will have a clean and tidy appearance, good work habits and a positive attitude. If you want to build a great career while providing fast, fun and friendly service to our customers, Taco Bell is the place to learn, grow and succeed! Food Champion Responsibilities: On the Line Prepare food ingredients Assemble food orders and check to make sure orders are correct Package products Maintain a clean, safe work environment Be knowledgeable about Menu Items and Promotions Training

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, we are industry disruptors. At the heart of our innovation is new digital products. Working on many different aspects of the customer experience, our Senior Engineers research and discover new opportunities and shape products to fulfill them. From inception to completion, you will develop tools and technology, learning quickly from our spirit of experimentation. You will have a direct impact on improving the performance of our business and ensuring customers can buy the vehicles they want in a way that is right for them! Purpose of the role It takes a passion for technology to develop ground-breaking products. Working collaboratively and creatively as part of a close-knit product team, you will be part of the development process from end to end: consulting users, carrying out experiments, tackling complex business problems and implementing new products. You can balance customer needs with business goals and know how to deliver technical solutions that enhance business value. Creative, curious, and highly analytical, you never stop learning and thrive on constant change in the digital marketplace. What you will do - Essential Responsibilities Take a lead role in implementing our new Cloud based Financial solutions and specifically by managing business requirements and leading the functional design, prototyping and process design stages of our Cloud ERP implementation. Including partnering with our SI partner, other technology teams and internal business SMEs. Work with fellow CarMax associates to understand the real-life process and data challenges and discover what they need to create a seamless customer experience and an efficient associate experience. Collaborate with colleagues in product design, product management, systems architecture, and various operational and technical teams to develop solutions and bring great ideas to life. Market your innovative ideas internally and evolve them according to feedback and critique within an agile environment. Stay on top of industry trends and best practice to continuously improve what we do and ensure our customer and associate experience is the best it can be. Leads analysis for conversion of existing legacy data into Oracle by analyzing data extracts and data mapping Effectively leads change, working with management and users to ensure involvement, participation, and encouragement of others' ideas and contributions for effective teamwork and successful project execution Work hands-on to understand, validate, build, test, train, and support our users as you help simplify business processes across various platforms Work with offshore/onsite technical teams to develop solutions based on the business requirements Responsible for application configuration, Functional specs, and Standard Operating Procedure (SOP) documents Conduct business interviews in solidifying business system requirements. Collaborate with Application team members, Product owners to prioritize and create transparency for critical initiatives required to scale the company. Ensure the business requirements are broken down into technical user stories for development Setup/configure Oracle ERP Cloud Financials suite according to the approved business requirements. Qualifications and Requirements Basic Qualifications Bachelor's Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 5+ years of relevant work experience or Master's Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 3+ years of relevant work experience Preferred Qualifications Demonstrated expertise in the Implementation, Upgrade, Enhancement, Analysis, Design, Development, Testing, and Support of Oracle Fusion Cloud 5+ years' experience in architecting and designing finance solutions in Oracle Enterprise applications 5+ years of Finance functional experience in Oracle eBusiness Suite and Oracle Cloud ERP Financial modules GL, AR, AP, PO, FA, Cash Management, Tax, Project Accounting (Billing/Costing), Inventory Costing with at least two cloud full lifecycle implementations Hands on Experience in end-to-end business processes (Record to Report, Order to Cash, Invoice to Report and Procure to Pay) Experience in Oracle Cloud OTBI, BI Publisher, Financial Reporting tools Experience in Forecasting, Planning & Analysis (FP&A) applications Ability to articulate complex systems and technical topics in a clear, concise manner Strong problem solving and analytical capabilities Develop, design, test and validate configuration/customizing related to new business processes developed as part of the business process improvement initiatives either as production support initiatives or in new projects. Work with the ERP security team on resolving authorization issues and provide recommendations on optimal security setup for ongoing project requirements. Work with the in-house development team by providing functional specifications for new development/configuration; test and validate the development/configuration for release to production and business use. Work independently with business process owners on presenting innovative solutions, leading workshops from scoping phase through realization phase of the projects. Ability to handle multiple simultaneous tasks and consistently deliver on activities Software Specific Qualifications and Requirements Experience in the following required: Oracle ERP Financial modules GL, AR, AP, PO, FA, Cash Management, Tax, Project Accounting (Billing/Costing), Inventory Costing (EBS or Fusion) Oracle Cloud OTBI, BI Publisher, Financial Reporting tools SQL knowledge Business process knowledge Requirements Gathering Unit Testing Experience in the following preferred: Oracle certification Work Location and Arrangement: West Creek: This role will be based out of the CarMax Home Office at West Creek (Richmond, VA) and associates will work onsite 5 days per week OR Plano: This role will be based out of the CarMax Dallas Tech Hub (Plano, TX) and associates will work onsite 2 days per week Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 250 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application . Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See CarMax Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

$5,000 Sign-On Bonus! Direct Sales Representative Location: Dallas, TX Unlimited earning potential with uncapped commissions! Opportunity to earn a targeted compensation up to $85,000 to $90,000 at full attrition with a $34,000 base salary! We offer a $34,000 base with a commission plan that allows you the freedom to exceed quota. ( See total compensation details below the job description). You will be representing a superior telecommunication provider and company that cares about you and our customers. Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology. We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping organizations thrive in an increasingly connected world. At the forefront of digital transformation, we continuously evolve our offerings to meet the dynamic needs of our customers-delivering reliable connectivity and groundbreaking digital experiences. Our commitment to excellence extends beyond infrastructure. We invest in our people through personalized training, coaching, and a supportive work environment that fosters growth and opportunity. Employees are empowered to represent a superior telecommunications company while making a meaningful impact in the communities we serve. We offer a robust benefits package that includes rewards, recognition programs, and employee discounts-ensuring our team members are supported in both their professional and personal journeys. At Astound, we believe in creating astounding possibilities for everyone, everywhere. Where you will work: This is a dynamic opportunity to represent our organization in the greater Dallas, TX market This individual will be based in the field, with the ability to travel into the nearest office as needed A Day in the Life of the Direct Sales Representative: Obtain new customers in a residential environment through professional, face-to-face interaction with residents, property management groups, and other referral sources Aggressively pursue any leads provided daily Understand every unique element of assigned properties within portfolio Distribute marketing material, facilitate strategic marketing campaigns, build Astound brand awareness Review and understand property contract language, service levels, restrictions, and obligations Understand customer needs and articulate solutions Attend mandatory sales meetings Report sales statistics accurately and promptly to management Stay up to date with what the competition is doing in your market. What You Bring to the Table: Ability to work in a fast paced challenging environment Enjoys working outdoors "on the hunt" since 90% of all work is in the field Excellent communications, relationship building, organizational, presentation and influence skills You have a positive, creative and persuasive personality Must be a motivated, self-starter and comfortable with working autonomously Must be detail oriented and has highly developed organizational and time management skills You are sales-quota driven Must have valid driver's license and reliable transportation What You Bring to the Table: You're passionate in connecting with potential customers and bringing them the joy of our products You're driven to succeed in every situation presented You're resilient and adapt to an ever-changing environment Visit potential customers at their residences to discuss service needs, providing quotes and sign up orders Protected Territory with excellent training/mentoring Adjusted Quota during your ramp-up period We provide flexible scheduling This is a face-to-face and door-to-door position. It's not easy for everyone, however, the base salary and uncapped commission compensation is designed for excellent earnings potential! Other duties as assigned Education and Certifications: High school diploma or equivalent We're Proud to Offer a Comprehensive Benefits Package Including: Opportunity for uncapped earning potential! Vehicle Allowance provided 401k retirement plan, with employer match Insurance options including medical, dental, vision, life and STD insurance Paid Time Off/Vacation: Starting at 80 hours per year, and increases based on tenure with the organization Floating Holiday: 40 hours per year Paid Holidays: 7 days per year Paid Sick Leave: Astound allows a number of paid sick hours per calendar year and varies based on state and/or local laws Tuition reimbursement program Employee discount program Base Salary: The base salary range in Texas for this position is $34,000, plus opportunities for bonus, benefits and commission, if applicable. It is specific to Texas and may not be applicable to other locations. Commissions at plan: Uncapped commissions with targeted commissions at full attainment could be up to or over $50,000 annually. Our sales total compensation offers the potential for significant upside above targeted earnings for those who overachieve their sales targets. $5,000 Sign-On Bonus: We offer a competitive salary and a comprehensive benefits package, which includes medical/dental, paid vacation and sick time as well as a 401(k), and certain candidates may qualify for a signing bonus up to $5,000. Don't miss this opportunity to join Astound. Visit and navigate to the careers page to apply today. Certain restrictions may apply, see website for details Our Mission Statement Take Care of Our Customers Take Care of Each Other Do What We Say We are Going To Do Have Fun Diverse Workforce / EEO: Astound is proud to be an Equal Opportunity Employer, and we are dedicated to cultivating an inclusive workplace where employees feel valued, respected, and empowered. Discrimination of any kind has no place here. We are committed to providing equal opportunities for all employees and applicants, regardless of race, color, religion, sex, gender, pregnancy, childbirth and related conditions, national origin, age, physical and mental disability, marital status, sexual orientation, genetic information, military or veteran status, citizenship, or other status or characteristic protected by applicable law. We strive to create a culture that celebrates our differences and promotes fairness and inclusivity in all aspects of our business. FCO (For San Francisco Candidates Only): Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. CCPA Employee Privacy Policy (For California Candidates Only): Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Astound Broadband Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

This position will be responsible for supervisory duties in Calvert County, St. Mary's County and Charles County, MD SCI Summary: SCI supports people with disabilities, behavioral challenges, medically complex needs, transitioning youth, the elderly, and other populations using Maryland Department of Health's Targeted Case Management and Supports Planning work models. Position Summary: The Supervising Service Coordinator is a critical position that ensures services provided by each Service Coordinator is of the highest quality and that Service Coordinators are well supported to carry out their job responsibilities. This position supervises a designated number of Service Coordinators and utilizes a situational leadership approach to support and develop Team Members. This position is a member of the Leadership team, collaborating with other leaders, including members of the Senior Leadership team, to develop and implement innovative solutions that further our mission. SCI Team Member Expectations: All SCI Team Members are expected to: Ensure services provided follow the organization's mission statement, core operating values and policies and procedures; follow HIPAA, confidentiality and security procedures and principles; collaborate with peers, leadership, and support areas of the organization; actively participate in and contribute to leadership and other staff meetings and trainings; maintains compliance with federal, state, and local employment laws and regulations; follow self-direction and person-centered planning procedures and philosophy; and to foster a culture that values diversity. Essential Duties: Manages Service Coordinators (SC) performance to ensure work meets quality person-centered Standards Ensures that SCs are using person centered practices and principles in all aspects of their role including language and actions with the people supported and external and internal Team Members Monitors Key Performance Indicators (KPIs) Completes required Comprehensive Quality Review (CQR) and monthly Quality Assurance Data for oversight and performance evaluations. Completes one full review for each SC supervised per month (CQR) Ensures Performance Utilization (PU) monthly benchmarks are met People and Culture - Conducts hiring interviews for vacant SC positions and uses the rating scale and interview scoring procedure to inform decisions. Informs People and Culture which job candidates will be extended an employment offer or placed in the queue Conducts 6-month and annual performance evaluations for new Team Members Conducts annual performance evaluations for SC Team Members over 1 year Utilizes situational leadership to develop Team Members knowledge and skills Takes disciplinary actions consistent with SCI policies and procedures to address performance concerns. Recommends to appropriate CCS Senior Vice President, Chief Program Officer, Program Manager, Team Member Experience Director, and EVP and Chief People and Culture Officer, termination of SCs when performance does not meet job expectations May provide support for a small number of people supported; providing necessary functions described in the SC job description Coordinates and assigns new Development Disabilities Administration (DDA) referrals, out of office transfer and reassignments to maximize SC Team Member's workload effectiveness Updates, tracks, and monitors assignments in the SC database and LTSS Records and maintains supervision records/tracking performance evaluations for developmental feedback and performance evaluations Reviews the Quality Assurance Data for compliance standards on a monthly basis, and follows supervisor procedures Participates in monthly organizational and program leadership meetings to stay informed of changes affecting policies, procedures and practices Actively participates in work groups and committees in accordance with SCI procedures Conducts and/or participates in ongoing meetings: Supervisor supervision, Program Manager Team meetings, monthly supervisory team meetings and monthly supervision meetings to stay informed of changes affecting processes, procedures and practices Communicates SCI philosophy to agencies, the people we support and their families and service providers Represents SCI in service provide negotiations, task forces and community education activities Speaks to community groups to explain and communicate SCI purposes, programs and policies Forms cooperative relationships with external stakeholders Participates on and organizes external tasks forces and work groups Supports SC training by reinforcing topics covered in New Team Member Training, reviewing SCI policies and procedures, coordinating shadowing opportunities, observing, identifying and delivering training based on strengths and areas in need of development Performs all duties as described and others as required, using the foundation of SCI philosophy and values Supervisory Duties: Supervises a designated number of Service Coordinators Supports service coordinators in the development and meeting of annual professional development goals Assists service coordinators with their daily responsibilities and provide procedure guidance as needed to aide in successfully fulfilling their job duties Required Competencies: Collaborates - Builds partnerships and works collaboratively with others to meet shared objectives Communicates Effectively - Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus - Builds strong customer relationships and delivers customer-centric solutions Interpersonal Savvy - Relates openly and comfortably with diverse groups of people Instills Trust - Gains the confidence and trust of others through honesty, integrity, and authenticity Tech Savvy - Anticipates and adopts innovations in business-building digital and technology applications Ensures Accountability - Holds self and others accountable to meet commitments Values Differences - Recognizes the value that different perspectives and cultures bring to an organization Resourcefulness - Secures and deploys resources effectively and efficiently Situational Adaptability - Adapts approach and demeanor in real time to match the shifting demands of different situations Plans and Aligns - Plans and prioritizes work to meet commitments aligned with organizational goals Education Required: Bachelor's degree in human service field required. Master's degree in a human service field preferred Project Management and career development courses completed within the first 3- 6 months of Supervising Service Coordinator position start date Experience Preferred: Experience working with people with developmental disabilities Physical Demands: Generally, presents standard office environment. Must be able to remain in a stationary > 95% of the time. Continually operates a computer, keyboard and mouse, and other office productivity machinery, such as a calculator, copy machine, printer, and mobile Smartphone device. Constantly positions self to comfortably maintain computer equipment. May occasionally be required to move about in an office setting or position office equipment weighing between 10-25 pounds. Vision abilities required by this job include close vision. Ability to operate a motor vehicle. The person in this position frequently communicates with other people. Must be able to exchange accurate information in these situations. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. This job description is subject to change at any time. SCI is an equal opportunity employer and committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. SCI is also committed to providing equal opportunity and access to individuals with disabilities by ensuring reasonable accommodations are provided to participants in the job application or interview process. To request a reasonable accommodation, contact Kathryn Eckert at email removed or phone removed . SCI is committed to fostering a safe and productive workplace for all Team Members and individuals engaged in business with the organization. As such, all positions require the completion and passing of a 9-Panel Drug Screening within 48 hours after accepting an offer of employment. A 9-Panel Drug Screening tests for illegal drugs within the State of Maryland. SCI does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. Disclaimer: The recruitment process is approved by Service Coordination Inc.'s (SCI) Team Member Experience Advisory Committee and subject to change based on business needs. Employment Type: Full Time Salary: $73,600 - $110,500 Annual

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 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, or JavaPreferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 peersCapital 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. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 theCapital 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 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).

Sr Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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.New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 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).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 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, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital 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 Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 theCapital 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 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).

Senior Technology Development Operations EngineerCooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team.Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem) Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic Participate in incident response, root cause analysis, and postmortem documentation Support release management processes across Dev/Test/Prod environments Work with development and data teams to integrate applications into the DevOps-managed environment Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps Provide documentation and knowledge sharing for operational processes and tooling Consult peer teams for feedback during the design, testing, and implementation stages All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years of experience in cloud infrastructure and DevOps Proficiency in AWS or Azure architecture, configuration, and security Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform skills, including use of Terragrunt and advanced workflows Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Experience deploying .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's degree in Computer Science, IT, Engineering, or associated discipline Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow Experience deploying AKS/EKS/GKE via IaC Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake)Competencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues. Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job Title: Helpdesk Technician Location: Ravenswood, WV Schedule: Monday-Friday, 8:30 AM - 5:00 PM (with occasional overtime and emergency support) About Advantage Technology For more than 20 years, Advantage Technology has been the go-to IT partner for organizations that expect excellence. We design, build, and maintain advanced infrastructure for businesses, schools, and government agencies throughout the Mid-Atlantic - taking on the most complex and demanding Microsoft environments our clients can throw at us. We're looking for a Helpdesk Technician in Ravenswood, WV who is ready for that level of challenge. This is an onsite position where every day brings new projects, new installations, and new technical puzzles to solve. No two days are the same - and that's exactly how we like it. If you're at the top of your game in Microsoft systems engineering and want to work where your skills will be pushed and respected, this is the pinnacle of your profession. Position Overview: We are seeking a reliable and customer-focused Helpdesk Technician to support a client in Ravenswood, WV. This role is ideal for someone with strong foundational IT skills who enjoys troubleshooting, problem-solving, and providing excellent end-user support in a professional environment. Key Responsibilities: Provide Level 1 / Level 2 technical support for end users Troubleshoot and resolve hardware and software issues on PCs and related devices Assist users with Microsoft products, including Office 365 applications Diagnose and resolve printing and peripheral device issues Support basic networking and Wi-Fi connectivity problems Perform system setups, installations, and basic configurations Document issues, resolutions, and updates in ticketing systems Escalate more complex issues when necessary Provide occasional support for basic server-related tasks Maintain a high level of customer service and professionalism Required Qualifications: 1-3 years of experience in IT support or helpdesk roles Strong knowledge of Windows operating systems Experience with Microsoft Office / Microsoft 365 environments Basic understanding of networking concepts (TCP/IP, DHCP, DNS, Wi-Fi) Experience troubleshooting printers and common office hardware Strong problem-solving and communication skills Ability to manage multiple tasks and prioritize effectively Reliable transportation and ability to work onsite in Ravenswood, WV Preferred Qualifications: Associate's degree in Information Technology or related field (or equivalent experience) CompTIA A+ or similar certification Experience with ticketing systems and remote support tools Basic familiarity with Active Directory and user account management Additional Requirements: Ability to work occasional overtime or respond to emergency support needs Strong attention to detail and documentation practices Professional demeanor when interacting with end users Employment Type: Full Time Years Experience: 1 - 3 years Salary: $36,512 - $55,920 Annual Bonus/Commission: Yes

Senior Lead AI Engineer (FM Hosting)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 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, or JavaPreferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 theCapital 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 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).

Sr. Distinguished AI EngineerAt 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 9 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 enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 theCapital 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 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).

Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 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).

Senior Distinguished AI EngineerAt 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 9 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 enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 peersCapital 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 theCapital 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 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).

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. As a P4 Senior IT Architect you will help redesign and rebuild our next-generation platform on a modern cloud-native technology stack. You will partner closely with staff engineers, product, and enterprise architecture to translate business strategy into secure, scalable, and maintainable technical solutions. You will provide architectural direction for one or more domains within the ecosystem, ensuring that solutions are aligned with enterprise standards, are testable and observable, and can be delivered incrementally by engineering teams. Our Tech Stack Primary Skills: C# / .NET, TypeScript, React, Postgres, RESTful APIs / GraphQL Secondary Skills: Kafka, Git/version control, Terraform, CI/CD pipelines, Unit testing frameworks (xUnit, Jest) Nice to Have: Azure cloud platform, Redis, Microservices architecture, MFE Architecture AI & Tooling: Experience evaluating and incorporating AI-assisted development, testing, and observability tools into architectural designs and standards, including guidance on patterns and risks. What You'll Do Define and document target architectures, domain boundaries, and integration patterns for the platform, with a focus on modularity, testability, and resilience. Partner with P5 Staff Engineers, P6 Principal/Enterprise Architects, and product leadership to translate business and product strategy into actionable architectural roadmaps. Create and maintain architectural artifacts such as context diagrams, sequence diagrams, data models, and API/interface contracts. Evaluate current-state systems and propose pragmatic migration paths to the target architecture, including strangler patterns, domain carve-outs, and phased delivery approaches. Collaborate with engineering teams to ensure designs are understood, feasible, and implemented as intended, providing hands-on guidance and design reviews as needed. Define non-functional requirements (security, performance, availability, scalability, observability) and ensure they are incorporated into designs, backlogs, and acceptance criteria. Work closely with Quality Engineering and DevOps to ensure architectures support automated testing, CI/CD quality gates, and robust observability and incident response. Assess and recommend technologies, frameworks, and platforms (including AI-assisted tools) that align with enterprise standards and the needs of the platform. Act as a trusted advisor and architectural point-of-contact for one or more product domains, helping to unblock teams and guide decision-making. Minimum Qualifications:- Typically 8+ years of experience in software engineering or architecture roles, with significant experience designing distributed systems and integrations. About You Technical & architectural skills: Strong hands-on background with C#/.NET and modern web technologies (e.g., TypeScript, REST/GraphQL APIs). Experience designing and integrating microservices and event-driven architectures using technologies such as Kafka. Solid understanding of relational database design and data modeling (PostgreSQL preferred), including balancing transactional and reporting needs. Familiarity with cloud-native architectures and platforms (Azure preferred), including security, networking, and resiliency considerations. Experience defining and driving adoption of architectural standards, patterns, and best practices across teams. Non-technical & leadership skills: Strong systems thinking skills with the ability to balance near-term delivery with long-term architectural health. Excellent communication and facilitation skills; able to lead design sessions and explain complex concepts to technical and non-technical stakeholders. Experience partnering with product managers and business stakeholders to shape roadmaps and ensure architectural concerns are represented in planning. Ability to influence without direct authority, building consensus and alignment across engineering teams. Comfortable working in an Agile environment, supporting incremental delivery while maintaining architectural integrity. Education & Experience Bachelor's degree or above in Computer Science, Software Engineering, or related field, or equivalent experience. Typically requires 8+ years of relevant experience in software engineering and/or architecture, with demonstrated ownership of domain or system-level designs. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $120,400 - $200,600 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' Data & Analytics is looking for a Specialist, Data Engineering to join our DataEngineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. What You'll Do The Specialist, Data Engineering will support and expand the data platforms that power our commercial data products and analytics offerings. This role will contribute to the design and delivery of scalable, reusable data assets that enable both internal teams and external partners to derive value from our data. You will work across proprietary and third-party data sources to build well-structured, high-quality datasets, prototypes, and sample data assets that support commercialization efforts. This role partners closely with Data Systems Analysts, Product, and Analytics teams to translate evolving business concepts into tangible, testable data solutions. Position Description Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives. Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards. Work with structured and unstructured data to prepare enhanced, sample, or prototype datasets for internal stakeholders and potential external customers. Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and enrich data aligned to defined business use cases. Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data assets. Contribute to conceptual data models and reusable data patterns that support future data product expansion. Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies. Support monitoring of data quality, performance, and reliability for commercialized data assets. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently, or in the future. Minimum Qualifications Degree or equivalent and typically requires 4+ years of relevant experience Education Bachelor's degree in Computer Science, Information Systems, or related field Critical Skills 4+ years of experience in data engineering, analytics engineering, or modern data platform environments 4+ years h ands-on experience with cloud data technologies such as Snowflake, Databricks, or similar platforms Strong ( 4+ years) SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases Experience integrating data from multiple internal and third-party systems Experience working with structured and semi-structured data in batch and/or streaming environments Working knowledge of data modeling principles and data quality practices Experience supporting analytics, reporting, or externally facing data use cases Preferred Skills Experience with or interest in data commercialization, data products, or externally facing analytics solutions Experience building prototype or proof-of-concept data assets, or interest in working in rapid iteration environments Comfort working with evolving requirements and ambiguity Ability to translate loosely defined business ideas into structured data outputs Strong collaboration skills across product, analytics, and technical teams Ownership mindset with a bias toward execution We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $105,500 - $175,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Field Microbiology Application Specialist Job Locations US-TX ID 0 Job Function Service & Support Overview Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity and customer success in life science molecular research, in applied and pharma applications, in microscopy and nano analysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology. Today, worldwide more than employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions, its broad base of installed systems and a strong reputation among its customers. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meeting its customers' needs as well as continuing to develop state-of-the-art technologies and innovative solutions for today's analytical questions. The Bruker Microbiology Applications Specialist supports all microbiology platforms and associated products within the Microbiology and Diagnostics Division. The Bruker MALDI and IR Biotyper Systems are revolutionary products which utilize mass and infrared spectrometry to produce rapid, accurate and cost-effective microorganism identifications and typing. The Microbiology Applications Specialist is responsible for managing the technical success at all Bruker M&D accounts in the assigned geographic region. This position will be covering the Central MAS Territory and based in Texas. Responsibilities Independently schedule and conduct on-site and factory-based application trainings for new and current customers for all MALDI and IR Biotyper protocols. Proactively contact current customers quarterly to provide product and service information, product updates and to resolve any current customer issues. This may include but is not limited to new product launch information, software updates, library updates, hardware or software troubleshooting, and basic or advanced Biotyper training needs. Work cooperatively with Service and Sales Team to drive consumable product adoption. Independently maintain contact and strong relationships with users in respective region. Communicate with the field sales teams to relay pertinent information regarding current and future customers. This information can include but is not limited to product requirements and interest and customer support satisfaction. Attend local workshops, trade shows, congresses, or seminars according to the needs of the region as well as provide seminars and talks to promote Bruker M&D line of products. Adhere to company policies for expense control and meeting expense budgets Provide monthly lead generations and customer training metrics to the MAS Manager. Qualifications Bachelor's degree in microbiology, Bacteriology, or similar. 2+ years of experience in a microbiology laboratory. First-hand knowledge of the one of the following microbiology disciplines: clinical, food, pharma, environmental, or veterinary microbiology laboratory. Ability to effectively communicate and train others on technical workflows. Provide superior customer service with timely, accurate, and clear responses to customers' needs. Ability to present company products and services to laboratory personnel. Ability to work with internal partners (sales, service, support, marketing) to provide outstanding customer service and product satisfaction. Strong verbal, written, and technical presentation skills, including MS Office with advanced Excel applications proficiency. Ability to independently manage multiple tasks and deliverables. Occasional lifting of up to 50 pounds. Able to manipulate small hand tools. Working knowledge of Sales Force CRM. Strong knowledge of microbiology coupled with an energetic personality and strong customer focus. Regular domestic travel up to 70%. Ability to travel on a routine basis and maintain a current Passport/ VISA as required for international travel. Occasional weekend travel will be required. The MAS must plan and execute individual travel per company travel guidelines and within expense budget objectives.At Bruker, the base salary is part of our total compensation. The estimated base salary range for this full-time position is between $86,400.00 and $153,500.00 and provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to, education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge, and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits, including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more. Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics. Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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.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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 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, or JavaPreferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 peersCapital 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. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 theCapital 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 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).

Manager, Technology and Innovation, GISI Ignite About GISI Ignite and Palladium: GISI is a global, employee-owned family of companies focused on construction, infrastructure, earth and environment, and global development. GISI Ignite is GISI's newly launched centralized technology and innovation team, built to strengthen how our operating companies deliver projects and provide expert guidance on AI, data, and digital solutions. We develop scalable platforms, drive workflow modernization, and help operating companies apply cyber-physical solutions that strengthen the performance, resilience, and safety of major capital programs. Palladium, a GISI company, works to design, develop and deliver positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world. We operate in over 90 countries and have a workforce of 2,000 talented, motivated, and diverse staff around the world. This role is hired through Palladium, the operational platform for Ignite. This Opportunity: GISI Ignite is seeking a Manager, Technology and Innovation to support the delivery of technology-enabled solutions and innovation programs across GISI's family of companies and client portfolio. This role serves as the connective tissue between strategy and execution - translating client needs into structured work plans, guiding solution development, overseeing pilot implementations, and ensuring multidisciplinary teams deliver high-quality outcomes. The ideal candidate has experience in stakeholder engagement, consulting, engineering, and/or technology-based roles, in addition to being passionate about solving complex problems and driving change through digital transformation and innovation. This is a consulting role and it is expected to serve both internal and external clients - work will be assigned in an agile way based on the experience and expertise of the individual. Projects with internal clients will focus on leading internal operational efficiency initiatives, serving stakeholders within GISI companies. Projects with external clients will require engagement with senior-level client stakeholders across a diverse range of GISI sectors. Both will rely on foundational skills in business analysis, technology design and implementation, and project management. Managers operate confidently across multiple projects, balancing client engagement, delivery leadership, and internal coordination. They play a key role in shaping the client experience and advancing GISI's innovation capability across regions and operating companies. Location and Compensation: The is a full-time, hybrid position based out of GISI's Newport Beach, CA or Denver, CO office, with potential client travel. For our prospective employees in the United States, please note that the full-time equivalent annual base salary for this position is expected to range from $120,000 to $150,000. Please be advised that a final salary offer will be based on various factors, including but not limited to your qualifications, education, experience, skills, seniority, performance, and GISI/Palladium's business or organizational needs. If you have any questions or concerns regarding the compensation for this position, please do not hesitate to reach out to us. We value your interest in our company and appreciate the opportunity to discuss this opportunity with you. Reporting Lines: The role reports to a Director, GISI Ignite Initially, this position will not include direct supervisory duties; however, these responsibilities may be introduced as the business evolves over timePrimary Roles and Responsibilities: Client Engagement & Advisory Manage trusted relationships with mid- to senior-level client stakeholders internal and external to GISI operating companies Lead solution discovery activities including interviews, workshops, and field assessments to surface operational challenges and transformation needs Support engagement teams to identify cross-company and sector patterns, strategic themes, and high-impact digital transformation and innovation opportunities Solution Design & Innovation Delivery Support development of innovation concepts, digital transformation pathways, and solution requirements, translating business needs into actionable solutions Conduct market research and evaluate technologies to inform solution design based on available products on the market Carry-out detailed requirement gathering activities for technology solutions, business process enhancements, and system integrations by collaborating with internal and external clients to translate operational needs into scalable digital solutions. Assess and propose solutions that account for people, process, technology, and governance components of potential solutions Develop proof of concept solutions and prototypes to garner client buy-in and to translate concepts into actionable software or data products Program Management & Execution Manage day-to-day delivery of client innovation engagements, coordinating workstreams across GISI operating companies, technical teams and vendors Develop detailed project plans, manage dependencies, track milestones, and ensure alignment with client expectations, coordinating with technical delivery and vendor teams as needed Develop change management strategies and oversee their implementation, working closely with internal and external stakeholders Identify risks, issues, and mitigation strategies, escalating complex challenges appropriately Ensure quality and consistency in deliverables and client communications Team Management & Collaboration Provide coaching, structure, and direction to junior team members, serving as engagement managers as assigned Foster cross-functional collaboration, ensuring input from engineering, analytics, operations, and technology experts Contribute to development of methodologies, frameworks, and playbooks that strengthen team capabilities and support scalable delivery Analysis, Insights & Reporting Lead preparation of client-ready deliverables including assessments, business cases, process maps, and solution architectures Track engagement KPIs, client satisfaction, and initiative outcomes to inform future phases of work Generate insights on market trends, client needs, and technology developments that may influence GISI's prioritiesEssential Criteria: 6+ years of experience in consulting, digital transformation, technology, or business analysis-related roles Bachelor's degree in Engineering, Business, Technology or related fields; Masters degree preferred Demonstrated knowledge in emerging technologies and innovation methodologies including familiarity with AI, automation, and data integration platforms. Proven ability to lead workstreams, manage client interactions, and deliver complex, cross-functional initiativesCore Abilities Required: Strong experience with multi-disciplinary problem solving, systems thinking, and structured analysis Demonstrated comfort working across diverse industries and ability to engage with stakeholders with varying technical backgrounds Operates fluidly between strategic framing and hands-on delivery, providing clarity, structure, and direction to teams and clients Thrives in multi-stakeholder environments, translating diverse inputs into coherent solutions and action plans Inquisitive mindset, creative, and desire to take initiative to learn new industries systems, technologies, and skills and how they can be appliedSkills: Design thinking practitioner or Agile / change management certified (or equivalent experience) Business process and system mapping and scenario planning Software prototyping tools (Figma, PowerApps, Cursor/Windsurf, Miro, or similar) Data analytics & visualization tools (Power BI, Tableau, Excel)Applications will be accepted on a rolling basis. We encourage you to apply early as the position may close once a suitable candidate is found. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or status as a protected veteran. Should you require any adjustments or accommodations to be made due to a disability or you are a neurodivergent individual, or for any other circumstance, please email our team at and we will be in touch to discuss. Safeguarding - We define Safeguarding as "the preventative action taken by Palladium to protect our people, clients and the communities we work with from harm". We are committed to ensuring that all children and adults who come into contact with Palladium are treated with respect and are free from abuse. All successful candidates will be subject to an enhanced selection process including safeguarding-focused interviews and a rigorous due diligence process. 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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Overview As a USP Staff Software Engineer, you will design and deliver solutions that help our healthcare system work more efficiently and effectively-helping millions of people receive their prescription medications each year. You'll work on small, cross-functional, highly collaborative teams and operate as a senior technical leader who turns product intent into clear, actionable engineering work. This role plays a critical part in bridging product strategy and technical execution. You will help break down complex product requirements into scalable technical solutions, consult across multiple engineering teams, and ensure delivery aligns with approved USP architectures and platform standards. The role has a strong emphasis on automation and modern cloud-native development, helping advance USP's platform capabilities while improving engineering effectiveness and long-term system health . What You'll Do Translate product requirements into technical execution Partner closely with Product, Design, and Engineering leaders to decompose product requirements into well-defined technical work, including epics, features, service boundaries, APIs, data models, and non-functional requirements. Lead technical discovery efforts to identify dependencies, risks, and tradeoffs early, producing clear plans that improve delivery predictability. Create and maintain technical artifacts such as design documents, RFCs, integration contracts, and architectural diagrams that enable alignment and execution across teams. Collaborate and consult across engineering teams Act as a technical consultant and advisor across USP and partner engineering teams, helping drive consistency in architecture, APIs, event contracts, and shared platform approaches. Facilitate alignment with platform, security, and architecture stakeholders, helping teams converge on sound technical decisions. Influence outcomes through strong communication , technical credibility, and pragmatic problem-solving rather than formal authority. Build solution technologies aligned to USP architectures Utilize a representative modern tech stack-including Node.js, TypeScript, React, GraphQL (Apollo), Azure Cloud Services, event-driven architectures and messaging platforms, and robust CI/CD and cloud-native tooling-to design, develop, and deploy scalable solutions that meet USP's architectural standards. Ensure all solution technologies are built with scalability, reliability, and maintainability in mind, leveraging cloud-native and AI best practices and event-driven patterns. Apply modern CI/CD processes to streamline development and deployment, maintaining alignment with USP platform standards and promoting engineering effectiveness. Apply event-driven architecture principles to enable asynchronous workflows, interoperability, and loose coupling. Identify and drive opportunities to apply AI and intelligent automation to product and tech workflows, decision support, and engineering productivity. Guide teams in designing AI-enabled capabilities that are reliable, observable, secure, and maintainable in accordance with company standards and governance processes Quality, ownership, and operational excellence Own the quality of the solutions you build through strong testing strategies, observability, and resilient system design that deliver on solution obligations. Support and maintain production systems, contributing to incident resolution and continuous improvement. Partner with platform teams to identify and deliver desired platform services and capabilities while adhering to best practices. Contribute to a healthy agile environment through iterative delivery, clear communication, and continuous learning. Minimum Qualifications 10+ years of professional software engineering experience building and operating production systems. About You Required Qualifications Strong experience designing and delivering cloud-native solutions on Azure. Deep experience with GraphQL API design, schema evolution, and performance considerations. Hands-on experience with event-driven architectures , including event modeling, asynchronous workflows, and messaging systems. Demonstrated ability to translate ambiguous business or product problems into clear technical designs and execution plans. Proven experience delivering AI-enabled capabilities and automated processes in production environments. Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences. A collaborative, consultative mindset with the ability to influence across teams. Preferred Qualifications Experience working in healthcare, regulated environments, or large-scale platform ecosystems. Experience building shared platforms, internal frameworks, or reusable architectural patterns. Familiarity with workflow orchestration or service choreography patterns. Experience mentoring senior engineers and raising the overall technical bar of an organization. What Success Looks Like Product requirements consistently translate into clear, actionable technical plans with fewer surprises. Engineering teams deliver solutions that align with USP architectural standards while moving quickly and safely. AI-enabled capabilities are introduced thoughtfully, improving product outcomes and/or engineering effectiveness. Systems are modular, scalable, and easier to evolve as USP continues to grow. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $148,700 - $247,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!