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Job Description Only USC and GC Job Description Must Have Technical/Functional Skills Technical Skills • Strong expertise in ABAP (RICEF, OO ABAP) Experience in: • ALV Reports, Module Pool Programming • BADIs, Enhancements, User Exits • BAPIs, RFC, IDocs • Forms: SmartForms / SAPscript / Adobe • S/4HANA exposure (CDS Views, code adaptation) Functional Knowledge • Strong hands-on experience in Plan to Produce / SAP PP: • MRP, BOM, Routing • Production Orders • Shop Floor / Manufacturing Execution Roles & Responsibilitie sWe are looking for a skilled SAP ABAP Developer with strong experience in Plan to Produce (P2P) / Production Planning processes. The candidate will be responsible for developing and enhancing ABAP objects in SAP ECC and S/4HANA environments, supporting manufacturing and production processes through high-quality, scalable technical solutions .Key Responsibilitie sABAP Developmen t• Design, develop, and enhance ABAP RICEF objects (Reports, Interfaces, Conversions, Enhancements, Forms) .• Develop classical, interactive, and ALV reports using procedural and OO ABAP .• Create module pool programs and custom transactions where required .Enhancements & Integration s• Implement BADIs, User Exits, Enhancement Spots (implicit/explicit) .• Develop and maintain integrations using BAPIs, RFCs, IDocs, and APIs .• Work on output forms (SmartForms, SAPscript, Adobe Forms) .Plan to Produce (PP) Functional Alignmen t• Collaborate with PP/QM functional consultants to translate business requirements into technical designs .• Support manufacturing processes including :o Production Planning (MRP, BOM, Routing )o Shop Floor Execution (Production Orders, Confirmations )o Quality Management (Inspection lots, results recording )o Inventory Movements (GI/GR for Production )S/4HANA & Advanced ABA P• Develop S/4HANA-ready ABAP objects including :o CDS View so Performance-optimized Open SQ Lo Code remediation for S/4HANA migration s• Exposure to RESTful ABAP Programming Model (RAP) is an added advantage .Testing & Suppor t• Perform unit testing, support SIT/UAT cycles, and resolve defects .• Provide production support and han dle critical business cycles .Documentation & Governanc e• Prepare technical specifications (TS), design documents, and code review artifacts .• Ensure adherence to SAP development standards, best practices, and Clean Core principles .Good to Have Skill s• SAP QM integration with P P• SAP Fiori / UI5 exposur e• SAP BTP / RAP / APIs exposur e• Experience in Greenfield or Brownfield S/4HANA implementation s Generic Managerial Skills, If a ny• Excellent communication, presentation, and stakeholder management skill s.• Development experience with onsite/offshore team s.• Strong problem solving, analytical, and decision-making abilitie s.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover. We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Staff-level individual contributor role for someone who thrives in ambiguity, owns complex problem spaces, and drives solutions from concept through production with measurable business impact. You will work with large-scale transactions and dispute data to develop models that enhance decision quality and enable scalable, intelligent systems. Key Responsibilities Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and recovery prediction Own end-to-end ML lifecycle, including problem framing, feature engineering, model development, deployment, and monitoring Build and productionize scalable models using large-scale transaction and dispute datasets Partner closely with Product, Engineering, and Data Engineering to translate business needs into data-driven solutions Drive adoption of ML solutions through explainability, performance measurement, and stakeholder alignment Develop experimentation frameworks to evaluate and continuously improve model performance Design and implement GenAI/LLM-based solutions for explainability, workflow automation, and decision support Influence product strategy by identifying opportunities to improve automation, efficiency, and customer outcomes Mentor junior team members and contribute to best practices across the data science organization Work Environment Visa requires employees to work in the office 3 days per week. Specific expectations will be confirmed by the Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience Experience with digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work Preferred Qualifications: 6+ years of experience with a Bachelor's degree or 4+ years with an Advanced degree or up to 3 years with a PhD Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related quantitative field Experience applying data science or analytics solutions to solve complex business problems with measurable outcomes Proven track record of commercializing analytical or ML solutions in production environments Strong experience managing or leading end-to-end projects across cross-functional teams Agile experience and ability to manage evolving priorities in dynamic environments Experience working with large-scale datasets and building scalable models Experience with distributed data processing frameworks (e.g., Hadoop, Hive, Spark) Proficiency in programming languages such as Python or R, along with SQL Experience with version control tools such as git or GitHub Hands-on experience applying machine learning and predictive modeling tecniques to business problems Experience in data science, data engineering, or analytics roles in large-scale environments Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains Experience working in global organizations with distributed stakeholders Proven ability to lead projects, influence teams, and provide technical thought leadership What Sets This Role Apart Ownership of high-impact, ambiguous problem spaces across Visa's Post Purchase ecosystem Direct influence on ML-driven decision intelligence and product strategy Opportunity to build scalable systems that improve recovery outcomes, automation, and client experience Work at the intersection of AI/ML, product, and platform at global scale Information for US Applicants For roles located in the US, the estimated salary range for this position is $141,100.00 to $ 226,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Sales Support Admin: HVAC Sales Schedule: Full-Time Monday - Friday, 8:00 AM - 5:00 PM Reports To: HVAC Sales Manager About Us At Wolff Bros. Supply, we know that a great company begins with great people! As one of the largest independent Plumbing, Electrical, and HVAC distributors in America, we've been proudly family-owned and operated since 1965. We foster a collaborative, growth-oriented environment where your expertise is valued and rewarded. The Role Are you a tech-savvy administrative professional with strong organization skills and advanced Excel expertise? We are looking for an HVAC Sales Support Specialist to work directly with our HVAC Sales Manager. In this role, you will play a central hub role across dealer programs, sales promotions, vendor coordination, marketing materials, and internal communication to keep our HVAC operations running smoothly. What You'll Do Dealer & Program Administration: Manage dealer website access, process co-op approvals/invoices/credits, handle promotional campaigns, and coordinate dealer-supported programs and bulletins. Sales & Pricing Support: Maintain accurate pricing spreadsheets, assist with sales plans and Market Adjustment Funds (MAF), and communicate updated product information to the Quotes department. Cross-Department Collaboration: Serve as a key liaison between the HVAC Sales Manager, Purchasing, Returns, Marketing, and Field Support Representatives. Reporting & Systems Management: Navigate vendor portals to retrieve product data, run monthly vendor-level reports, and maintain data accuracy across company systems. Marketing & Communications: Assist with product updates for the web, coordinate promotional flyers and print materials, and help organize HVAC sales meetings and events. General Administrative Coordination: Handle routine scheduling, filing, message routing, and general office support as needed. What You Bring Experience: Previous administrative or sales support experience preferred. Excel & Software Proficiency: Intermediate to advanced Excel skills (spreadsheet creation, formulas, data management), along with proficiency in Word, Outlook, Teams, and SharePoint. Systems Adaptability: Comfort navigating vendor portals and a quick ability to learn internal ERP/business management software for tracking customer, product, and transaction data. Detail & Communication: Exceptional attention to detail, accuracy in data entry, and strong written/verbal communication skills. Physical Requirements & Working Conditions Regular movement throughout the facility, including standing, walking, reaching, and occasionally sitting, climbing, balancing, or stooping. Ability to regularly lift and/or move up to 50 lbs, and occasionally up to 80 lbs. Specific vision abilities required include close vision, color vision, distance vision, and depth perception. Why Choose Us? Weekly Paychecks Paid Comprehensive Training Comprehensive Benefits: Medical, Dental, and Vision coverage Company-Paid Perks: Short-Term Disability and Life Insurance Retirement Planning: 401(k) with company match Generous Paid Time Off (PTO) Ready to Join the Team? Apply today at or send your resume directly to . Wolff Bros. Supply is an Equal Opportunity Employer committed to diversity and inclusion. PIcc84b-2229

Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details

Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Job Description Job Description Automation Controls Engineer Position Summary: For more than 150 years, Morgan has been committed to offering world class solutions for the metals industry. At Morgan, we position our customers for success by collaborating with them to enhance safety, improve efficiency, and deliver value through the world's most advanced material handling systems-while building a better future for our employees and community. We are seeking a full-time Automation Controls Engineer to join our growing team in Alliance, Ohio. This role is essential in designing and developing advanced controls solutions for existing and new automated manufacturing cells, with a strong focus on heavy industrial environments. The successful candidate will champion the full lifecycle of controls design, development, commissioning, and ongoing technical support-ensuring innovation and quality are standard in every project. Join our team to help us fulfill our vision: To challenge the possibilities of today by thinking differently. Responsibilities: Define and implement solutions for industrial system requirements, including developing detailed system specifications for drive and automation systems. Design and test control software for PC, Allen Bradley, and Siemens PLC-based systems used in applications such as overhead cranes, metal rolling, strip processing, rod/bar mills, water treatment and gantry material handling cells. Select and evaluate electronic components, sensors, and suppliers for each project. Program PLCs, using Ladder Logic, or Function Block Diagram to meet all functional requirements. Recommend changes to unit and integration of test plan elements as necessary. Perform network connectivity troubleshooting and support projects during factory acceptance testing and commissioning. Provide technical assistance to manufacturing and maintenance teams to solve chronic or complex issues. Adapt existing PLC projects to meet specific customer applications. Collaborate with Electrical Project Engineers and other teams to develop custom solutions. Must be willing to travel as needed. Must be willing and able to work at heights ranging from 30' to 300'. Education/Experience: Bachelor's degree in electrical engineering, or a relevant technical field required. Equivalent professional experience will be considered. 3years of experience designing, commissioning, and maintaining industrial drive and automation systems for heavy industrial applications. Minimum 1 year of experience programming programmable logic controllers (PLCs). Experience with Rockwell FactoryTalk software suite (Studio 5000, Administration Console, Transaction Manager, View Studio, FT Directory, NGT2, Optix). Experience with Siemens TIA Portal software suite (STEP 7, WinCC, Startdrive, Unified). Experience with SQL or other database languages preferred. Strong communication skills, keen attention to detail, and demonstrated problem-solving and decision-making abilities. Solid understanding of structured programming principles. Benefits: Competitive wages Comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Life insurance 401(K) 401(K) matching Paid time off About Morgan: For more than 150 years, Morgan Engineering has created a legacy as a world leader in material handling systems. Through the design, production and service of large-scale industrial overhead and gantry-type cranes and mill equipment, we provide the innovative technology and engineering expertise to move our clients' businesses forward. To learn more about our company or apply for this position, visit . Disclaimer: Morgan Engineering provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Job Description GENERAL JOB DESCRIPTION The Senior Trader in Investment Operations is responsible for trade execution, reconciliations, and trade support to advisors/portfolio managers and other operations team initiatives. This role provides both strategic and tactical perspectives to ensure the Investment Operations team efficiently meets the trading needs of the firm. Relationship manager and primary point of contact to service providers whose applications serve critical functions to support the investment process needs of the entire firm. In addition, the Senior Trader partners with the other Senior Traders and the Trading Team Manager on a varied and diverse set of tasks for both short and long-term goals. MAJOR DUTIES AND RESPONSIBILITIES Execute, allocate, and reconcile trades in a timely manner Maintain and rebalance portfolios across different strategies Work with firm portfolio managers to implement model changes and manage cash needs for strategy accounts Support trading requests from advisors and portfolio managers Update and maintain reports daily, weekly, and monthly to monitor model and strategy accounts Liaise with operations team members to resolve any critical/complex problems related to specific trading transactions or processes Ensure trade workflow is operating with efficiency, quality, and accuracy Deal with complex issues utilizing appropriate channels and resources Support service requests ensuring compliance and risk mitigation practices are followed Identify, communicate, and monitor discrepancies and workflow issues between the custodian, trading platform, and accounting system. Under limited supervision, assumes autonomy and independent decision authority for administering moderately complex trading and operations tasks EXPERIENCE/CREDENTIALS B.A. or B.S. degree, in Finance, Accounting, or related field Minimum 5 years of experience in trade desk and securities operations Demonstrated knowledge of trade executions Demonstrated proficiency with portfolio accounting and trading systems is preferred: Tamarac, FIX Flyer Co-Pilot Experience in general business applications: Salesforce, Excel, Word, SharePoint Demonstrated proficiency with general business applications (Outlook, Word, Excel, Adobe) COMPETENCIES Team player with the ability to multi-task, work under pressure and resolve problems and conflicts Strong quantitative and analytical skills; organized, detail-oriented Able to meet deadlines, while still maintaining flexibility to prioritize and execute to meet client and firm needs and support peak volumes Strong systems knowledge and technology skills; ability to learn other MAI financial software tools and stay abreast of software updates Keen interest in and knowledge of the markets Committed to promoting best practices in the application of policies, procedures and elements of governance affecting operational risk through the firm Excellent oral and written communication skills Strong organizational and interpersonal skills with a demonstrated commitment to teamwork and partnerships Risk management focused Maintains absolute confidentiality of all client information and safeguards client and firm data; maintains high ethical standard in all practices Professional and positive demeanor, superb work ethic, high level of personal ethics and integrity FEATURED BENEFITS: Discretionary Bonus Medical Insurance Dental Insurance Vision Insurance 401(k) Health Savings Account Paid Maternity Leave Paid Parental Leave Tuition Reimbursement

Job Description Job Description Job Description: Core Focus: Lead End-to-End (E2E) testing and subject matter expertise for Vanguard workplace systems, focusing on retirement plan contributions, payroll rules, and proprietary Vanguard platform infrastructure. Key Workstreams: Execute E2E 403(b)/402 contribution monitoring, including eligibility determination, transaction processing, limit monitoring, and exception handling. Test and validate proprietary Vanguard applications such as client, PE Web, My Plan Manager, eSetup, Infocap, PRS, VISTA, and VISION, alongside PRDS payroll deduction rules. Perform functional, regression, integration, and system testing, backed by deep data integrity testing and custom DB2 query analysis. Technical & Testing Scope: Validate complex workflows, track defects in Jira, execute test automation (TestComplete, Spring Boot, Core Java), and ensure multi-device/OS mobile compatibility. Requirements: Mandatory background in Vanguard workplace experience, deep domain knowledge of retirement plan recordkeeping/payroll rules, and strong technical testing competencies (Mainframe, DB2, Java-based automation).

Job Description Job Description Job Title: Guidewire QA Lead P&C Insurance Location: Remote Responsibilities " Collaborate with client QA teams, developers, and offshore teams to understand requirements, identify gaps, and ensure accurate testing. " Design and execute test cases based on business requirements and system specifications, covering complex rules and workflows. " Provide clear effort estimates for manual testing tasks and deliver thorough test coverage. " Apply Agile methodologies to drive efficient testing processes, improve quality, and support continuous delivery. " Lead initiatives to enhance testing strategies, mentor junior QA team members, and ensure compliance with industry best practices in Guidewire Policy systems and P&C insurance. Required Skills " Bachelor's degree in Computer Science, IT, or related field. " Minimum 8 years of P&C insurance and Guidewire PolicyCenter experience, including 5 years in Commercial Lines. " Hands on expertise in Guidewire ClaimCenter, PolicyCenter, BillingCenter, and Contact Manager, including configuration, product model forms, rules, and rating. " Strong background in manual and automation testing for Guidewire Cloud projects (upgrades and implementations). " Proficiency in Agile methodologies and test management tools such as Client ALM, Jira, ADO, or Rally. " Experience in claims creation, FNOLs, reserves, checks, and payment transactions. " Guidewire Analyst Associate certification; ISTQB or Agile certifications preferred. " Ability to lead, take initiative, and guide teams in onsite offshore delivery models.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: A/R Follow-up Manager Type: Contract Compensation: $75/hour Location: Remote Role Responsibilities Lead A/R follow-up operations across commercial, Medicare, Medicaid, and managed care payers. Ensure timely resolution of outstanding claims. Evaluate AI-generated A/R follow-up recommendations , claim status inquiry outputs, and payer correspondence drafts for accuracy and effectiveness. Manage claim status follow-up workflows including electronic claim status inquiries (276/277 EDI) , payer portal follow-up, and phone-based resolution. Prioritize A/R queues by aging bucket, payer, and dollar value to maximize revenue recovery. Identify and resolve claim payment discrepancies, payer processing errors, and underpayments. Annotate AI outputs and provide structured feedback to support AI training datasets . Qualifications Must-Have 5+ years of experience in A/R follow-up , payer collections, or revenue cycle operations, with at least 2 years in a management role. Deep knowledge of claim status follow-up workflows, EDI 276/277 transactions , and payer-specific collections processes. Strong understanding of Medicare, Medicaid, and commercial payer claims processing and payment timelines. Experience prioritizing and managing high-volume A/R queues across multiple payers. Proficiency with billing systems and A/R management platforms . Exceptional written and verbal English communication skills. High attention to detail with the ability to identify payment errors and discrepancies in AI-generated A/R content . Preferred CRCR , CPC , or CHFP certification. Experience with RCM technology platforms featuring automated A/R follow-up capabilities. Background in multi-payer follow-up operations in hospital or physician group settings. Familiarity with AI tools and comfort evaluating AI-generated A/R follow-up content . Experience developing A/R reduction action plans and presenting performance to leadership. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description Job Title: Product Manager - JD Edwards Location: Winchester, Virginia Work Mode : 5 Days Onsite Duration : Contract to Hire Years Of Exp : 12+ We are seeking a JD Edwards (JDE) Product Manager to lead enterprise manufacturing and supply chain capabilities across JD Edwards, UKG, ScanMan, OneStream, and related enterprise platforms. This role will own product roadmaps, drive Agile delivery, and align business objectives with technology capabilities. The ideal candidate will have strong manufacturing experience, ERP transformation expertise, and the ability to manage enterprise product initiatives across cross-functional and offshore teams. Responsibilities Lead the evolution of enterprise manufacturing and supply chain capabilities, owning the product roadmap for systems including JD Edwards (JDE), UKG, ScanMan, OneStream, and related data integration platforms. Translate operational needs into system capabilities and prioritize features to deliver measurable value. Manage product backlogs, release planning, and sprint prioritization using Agile methodologies. Coordinate with IT, business units, offshore teams, and partners to ensure successful delivery and implementation of product features. Produce Business Requirement Documents, Epics, and User Stories as needed. Drive alignment between business strategy and enterprise architecture through stakeholder engagement and governance activities. Track success metrics such as adoption, stability, and process efficiency to evaluate post-release performance. Create and maintain the product vision and roadmap across manufacturing, supply chain, and finance capabilities. Partner with business leads to identify pain points and develop process and system improvements. Key Requirements: 8+ years of Product Management, Program Management, or ERP transformation experience Deep expertise with JD Edwards EnterpriseOne and manufacturing processes Experience owning and managing enterprise product roadmaps Strong Agile, Jira, sprint planning, and release management experience Experience coordinating with offshore and cross-functional teams Strong communication, stakeholder management, and client-facing experience Familiarity with OneStream, ScanMan, and enterprise data governance preferred Understanding of WMS/RF integrations and EDI transactions preferred Experience supporting digital transformation initiatives within manufacturing environments Familiarity with OneStream, ScanMan, and Enterprise Data & Governance frameworks. Understanding of WMS/RFS integration (coordination-level knowledge; hands-on not required). Experience defining and scaling digital capabilities within manufacturing environments. Ref: Pittsburgh

Job Description Job Description What Success Looks Like (Objectives): Act as a product lead for the enterprise digital customer engagement SaaS platform; understand business requirements and develop solutions to enable teams to deliver business objectives Configure and refine social listening queries, across major social networks and digital channels Maximize native platform AI and NLP capabilities to reduce response times (SLAs) and streamline case resolution Partner with enterprise data warehouse and technical teams to ensure social listening metrics, care case histories, and survey responses flow reliably into central data stores for cross-channel CX analysis Build and maintain unified dashboards for Social Care Operations, Product Teams, and Marketing Teams. Merge these metrics into executive reports that drive continuous CX improvements Design, configure, and deploy targeted post-interaction care surveys and digital feedback intercepts (CSAT, NPS) across messaging and social channels to capture immediate post-care sentiment Evaluate vendor product release notes, champion feature adoption, and facilitate platform training Core Skills, Competencies, and Key Experiences (What you'll bring) In-depth understanding of digital customer service operations, social customer care, messaging channel nuances, and organic social media publishing workflows Proven ability to translate operational requests into technical configurations Practical experience leveraging text analytics, natural language processing (NLP), intent modeling, and generative AI features to classify open-text mentions Proficiency in constructing boolean search strings, categorizing themes/topics, and setting up real-time listening monitors to capture brand feedback and competitive benchmarks Sound knowledge of Voice of Customer (VoC) methodologies and transactional survey design (CSAT/NPS) Skill in configuring native platform dashboards and synthesizing care efficiency metrics, sentiment scores, and social media learnings into clear executive summaries Candidates must be willing to participate in at least one in-person interview. Minimum Requirements: Minimum Education: Bachelor's Degree in Business, Communications, Marketing, Computer Science, or a closely related field Minimum Experience: 5 years of experience in product management, customer care technology, or social media operations Required Technical Skills: Direct hands-on experience administering unified enterprise customer experience, social listening, or social customer service platforms (e.g., Sprinklr, Sprout Social, Hootsuite, Khoros, or Salesforce Social Studio) Demonstrated experience configuring automated case routing, agent consoles, listening topics, or outbound social publishing tools Proficiency with reporting tools, including native platform analytics engines, Tableau, or advanced Excel for operational KPI tracking Experience configuring transactional CSAT/NPS feedback surveys or digital intercept forms across messaging and web/app channels Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $83160 - $118800/YearlyAbout our Department Our Customer Experience Operations (CXO) teams go above and beyond by simplifying lives and enhancing community access to our products and services. Behind the scenes, dedicated individuals focus on refining the experience for millions of customers across all of our brands and providing support to our field agents. About Our Company EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Job Description Job Description What Success Looks Like (Objectives): Design, execute, and analyze high-velocity A/B and multivariate tests across the customer lifecycle to identify friction points and maximize the take-rate of data top-ups Partner with data science to deliver targeted, contextual offers based on user behavior, predictive analytics, and automated machine learning models Own the real-time communication strategy across SMS, push notifications, in-app banners, and emails to alert users of usage thresholds and balance conversion with user experience Define, track, and translate core KPIs-including ARPU, conversion rates, and retention-into actionable performance insights for executive leadership Recommend and build business cases for new monetization products, collaborating closely with engineering, design, and data science to deploy these features Core Skills, Competencies, and Key Experiences (What you'll bring) Critical experience driving growth, revenue, and product attach rates in high-transaction industries such as telecom, subscription services (SaaS), mobile gaming, or fintech Deep expertise in A/B testing methodologies, growth hacking frameworks, and behavioral economics Ability to balance aggressive revenue targets with a seamless, customer-centric user experience that avoids bill shock Exceptional communication and influence skills to drive alignment across cross-functional teams and deliver narratives to executive leadership AI literacy and experience applying predictive intelligence and data science models to automate personalization strategies Minimum Requirements Minimum Education: Bachelor's Degree in Business, Computer Science, Economics, Mathematics, or a related field Minimum Experience: 7 years of experience in Product Management Required Technical Skills: Must have at least 3 years of experience with: A/B testing and growth experimentation platforms (e.g., Optimizely, LaunchDarkly, or equivalent) Data analytics and business intelligence tools (e.g., SQL, Amplitude, Mixpanel, or Tableau) Lifecycle engagement and marketing automation systems (e.g., Braze, Iterable, or custom triggering engines) Candidates must be willing to participate in at least one in-person interview. Visa sponsorship not available for this role Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $110110 - $157300/YearlyAbout our Department Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market. About Our Company EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: At Visa, we are reimagining the future of global commerce. The Payment Products Development (PPD) Architecture & Consulting team partners with Product, Engineering, and Business leaders to define technology strategy, architect next-generation payment solutions, modernize platforms, and accelerate innovation across Visa's global payment ecosystem. Our team helps shape the technology foundations that power billions of payment interactions worldwide by simplifying complexity, guiding strategic investments, establishing architecture standards, and enabling scalable, resilient, secure, intelligent, and future-ready solutions. As Visa continues its transformation toward open platforms, cloud-native solutions, and AI-powered experiences, our architects play a critical role in defining the technologies that will power the next generation of payments, commerce, and financial services. Role Summary: As a Lead Systems Architect, you will help define the future of how the world moves money. You will work at the intersection of business strategy, emerging technology, AI innovation, and global-scale engineering, influencing some of Visa's most important technology investments. Your work will help shape products and platforms that process billions of transactions, enable new payment experiences, and power commerce across the globe. In this role, you will: Define architecture strategies, target-state architectures, and technology roadmaps for Visa's strategic payment products and platforms. Lead the design of open, scalable, API-first platforms leveraging cloud-native architectures, event-driven systems, reusable services, and modern integration patterns. Partner with Product, Engineering, Operations, and Business leaders to transform bold ideas into scalable, secure, resilient, and high-performing solutions. Lead architecture consulting engagements, providing strategic guidance, impact assessments, architecture reviews, and technology recommendations for critical initiatives. Drive modernization initiatives that evolve legacy platforms into interoperable, cloud-enabled, developer-friendly ecosystems. Architect and enable AI-native platforms and intelligent solutions utilizing GenAI, agentic workflows, retrieval-augmented generation (RAG), orchestration frameworks, and emerging AI capabilities. Leverage AI and automation to improve engineering productivity, operational efficiency, architecture analysis, and customer experiences. Establish architecture standards, reusable patterns, governance frameworks, and engineering best practices that improve quality, consistency, and speed of delivery. Define and execute proof-of-concept initiatives supporting strategic business objectives, platform modernization, and digital transformation programs. Identify opportunities where emerging technologies can improve scalability, resiliency, security, operational efficiency, or customer experience. Establish success criteria, measurable outcomes, and architectural evaluation frameworks for all POCs. Lead end-to-end POC activities including requirements gathering, solution design, implementation, testing, and executive presentation. Evaluate emerging technologies, develop proofs of concept, and influence Visa's long-term technology direction. Mentor engineers and architects while fostering innovation, collaboration, and technical excellence. Projects You Will Be Part Of: Next-generation payment products and platform modernization initiatives. Open systems transformation programs focused on API enablement, interoperability, ecosystem integration, and platform simplification. AI-native and GenAI-enabled solutions that transform how technology teams design, build, test, deploy, and operate software. Cloud, data, API, and platform transformation programs. Strategic architecture roadmaps supporting Visa's global payment ecosystem. Cross-functional consulting engagements driving innovation, simplification, and business agility. Emerging technology initiatives exploring the future of payments, digital commerce, intelligent systems, and financial services. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, OR an equivalent combination of education, training, and work experience. Deep experience designing and evolving large-scale distributed systems, platforms, and enterprise applications in high-availability environments. Strong experience architecting open, API-first, cloud-native systems using industry standards, microservices, event-driven architectures, modern integration patterns, and reusable platform services. Experience in payments, fintech, financial services, commerce, or other highly scaled transaction-processing environments. Experience driving modernization from legacy or tightly coupled systems to scalable, interoperable, and loosely coupled architectures. Demonstrated experience designing, implementing, or enabling AI and GenAI-powered solutions, including intelligent workflows, agentic systems, AI-assisted engineering capabilities, RAG frameworks, or AI-native platform features. Ability to translate business opportunities into practical, scalable technology solutions that deliver measurable customer and business value. Experience defining target-state architectures, technology roadmaps, architecture principles, and engineering standards. Experience influencing technical decisions and collaborating across Product, Engineering, Operations, and executive stakeholders. Strong communication, problem-solving, and relationship-building skills. Passion for innovation, continuous learning, and shaping the future of technology and payments. Preferred Qualifications 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD. 12+ years of progressively responsible experience in software engineering, systems architecture, solution architecture, platform engineering, or related technology disciplines. Experience building cloud-native platforms and leveraging platform engineering practices to improve developer productivity and operational excellence. Experience designing AI-native architectures utilizing foundation models, agent orchestration frameworks, vector databases, RAG architectures, AI observability, model governance, and responsible AI principles. Experience leading enterprise modernization initiatives involving cloud transformation, API enablement, platform simplification, or data architecture evolution. Experience developing technology strategy, innovation roadmaps, or architecture guidance for large-scale product organizations. Passion for mentoring others and building strong engineering and architecture communities. Information for US Applicants For roles located in the US, the estimated salary range for this position is $193,800.00 to $ 310,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 11-10-2026 Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.