Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
09/27/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
Job Description Job Description About Company: Papigen is a fast-growing global technology services company delivering innovative, enterprise-grade digital solutions across industries. We specialize in technology transformation, enterprise modernization, and advanced capabilities including Cloud, Data Engineering, Artificial Intelligence, and Digital Platforms. With deep domain expertise in financial services and complex enterprise environments, Papigen partners with organizations to modernize legacy systems, enable data-driven decision-making, and build scalable, secure, and high-performing applications. Our services span consulting, product engineering, data analytics, DevOps, and intelligent automation, helping clients accelerate innovation while ensuring operational excellence and regulatory compliance. We adopt a client-centric approach that combines strategic thinking with hands-on engineering execution. Our teams work collaboratively across global delivery centers, leveraging Agile and SAFe methodologies to deliver high-quality solutions in fast-paced environments. At Papigen, we foster a culture of innovation, continuous learning, and collaboration, providing professionals with opportunities to work on cutting-edge technologies, solve complex business challenges, and contribute to impactful digital transformation initiatives. Job Title: Senior Developer III (PowerApps, .NET Core & Azure) Job Location: Washington D.C (Hybrid) Role Summary: We are seeking a Senior Developer III to lead the design and development of a PowerApps-based Syndications Management Platform. The platform will serve as a centralized solution for project lifecycle management, fund allocation automation, investor interactions, workflow orchestration, and real-time reporting. The ideal candidate will possess strong expertise in Microsoft Power Platform, .NET Core, Azure, and enterprise integration architectures, with the ability to translate business requirements into scalable technical solutions. Scope of Work & Key Responsibilities: Design and implement technical architecture for a unified syndications management platform. Develop workflow solutions for pipeline-to-portfolio project tracking and management. Build and automate fund allocation models based on eligibility criteria, allocation rules, and audit requirements. Design real-time synchronization and integration between enterprise systems and applications. Implement stage management workflows, notifications, alerts, and investor engagement capabilities. Develop scalable solutions using PowerApps, .NET Core, Azure services, and Dataverse. Integrate reporting and analytics capabilities using Power BI and enterprise data sources. Establish security, data access controls, and compliance standards for platform operations. Support event-driven automation and workflow orchestration across business processes. Optimize application performance, scalability, reliability, and maintainability. Collaborate with product owners, architects, developers, and business stakeholders throughout the project lifecycle. Participate in Agile ceremonies, technical reviews, and solution planning activities. Required Skills & Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent practical experience). 8+ years of experience with Microsoft Power Apps and business process automation solutions. Proven experience designing and delivering enterprise applications using .NET Core and React JS. Strong expertise in Microsoft Power Platform, Dataverse, and workflow automation. Experience working with Microsoft Azure services and cloud-native architectures. Strong knowledge of enterprise systems integration, API connectivity, and secure application design. Experience with Power BI, SQL, reporting frameworks, and data validation techniques. Strong understanding of financial systems, CRM platforms, SAP integrations, and loan servicing processes. Experience with Dataverse data modeling and application architecture. Knowledge of event-driven architectures and automation frameworks. Experience working within Agile delivery environments. Strong communication, stakeholder management, and technical documentation skills. Preferred Skills: Experience developing financial modeling or allocation management systems. Familiarity with AI and Copilot capabilities within the Power Platform ecosystem. Experience designing enterprise reporting and dashboard solutions. Exposure to Azure AI services and intelligent automation technologies. Why Join Us: Opportunity to lead enterprise-scale cloud and AI transformation initiatives. Work on cutting-edge Agentic AI architectures and multi-cloud platforms. Collaborative environment with global teams and high-impact projects. Exposure to modern DevSecOps, platform engineering, and AI-driven solutions. Strong focus on innovation, leadership growth, and continuous learning in emerging technologies.
09/26/2026
Full time
Job Description Job Description About Company: Papigen is a fast-growing global technology services company delivering innovative, enterprise-grade digital solutions across industries. We specialize in technology transformation, enterprise modernization, and advanced capabilities including Cloud, Data Engineering, Artificial Intelligence, and Digital Platforms. With deep domain expertise in financial services and complex enterprise environments, Papigen partners with organizations to modernize legacy systems, enable data-driven decision-making, and build scalable, secure, and high-performing applications. Our services span consulting, product engineering, data analytics, DevOps, and intelligent automation, helping clients accelerate innovation while ensuring operational excellence and regulatory compliance. We adopt a client-centric approach that combines strategic thinking with hands-on engineering execution. Our teams work collaboratively across global delivery centers, leveraging Agile and SAFe methodologies to deliver high-quality solutions in fast-paced environments. At Papigen, we foster a culture of innovation, continuous learning, and collaboration, providing professionals with opportunities to work on cutting-edge technologies, solve complex business challenges, and contribute to impactful digital transformation initiatives. Job Title: Senior Developer III (PowerApps, .NET Core & Azure) Job Location: Washington D.C (Hybrid) Role Summary: We are seeking a Senior Developer III to lead the design and development of a PowerApps-based Syndications Management Platform. The platform will serve as a centralized solution for project lifecycle management, fund allocation automation, investor interactions, workflow orchestration, and real-time reporting. The ideal candidate will possess strong expertise in Microsoft Power Platform, .NET Core, Azure, and enterprise integration architectures, with the ability to translate business requirements into scalable technical solutions. Scope of Work & Key Responsibilities: Design and implement technical architecture for a unified syndications management platform. Develop workflow solutions for pipeline-to-portfolio project tracking and management. Build and automate fund allocation models based on eligibility criteria, allocation rules, and audit requirements. Design real-time synchronization and integration between enterprise systems and applications. Implement stage management workflows, notifications, alerts, and investor engagement capabilities. Develop scalable solutions using PowerApps, .NET Core, Azure services, and Dataverse. Integrate reporting and analytics capabilities using Power BI and enterprise data sources. Establish security, data access controls, and compliance standards for platform operations. Support event-driven automation and workflow orchestration across business processes. Optimize application performance, scalability, reliability, and maintainability. Collaborate with product owners, architects, developers, and business stakeholders throughout the project lifecycle. Participate in Agile ceremonies, technical reviews, and solution planning activities. Required Skills & Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent practical experience). 8+ years of experience with Microsoft Power Apps and business process automation solutions. Proven experience designing and delivering enterprise applications using .NET Core and React JS. Strong expertise in Microsoft Power Platform, Dataverse, and workflow automation. Experience working with Microsoft Azure services and cloud-native architectures. Strong knowledge of enterprise systems integration, API connectivity, and secure application design. Experience with Power BI, SQL, reporting frameworks, and data validation techniques. Strong understanding of financial systems, CRM platforms, SAP integrations, and loan servicing processes. Experience with Dataverse data modeling and application architecture. Knowledge of event-driven architectures and automation frameworks. Experience working within Agile delivery environments. Strong communication, stakeholder management, and technical documentation skills. Preferred Skills: Experience developing financial modeling or allocation management systems. Familiarity with AI and Copilot capabilities within the Power Platform ecosystem. Experience designing enterprise reporting and dashboard solutions. Exposure to Azure AI services and intelligent automation technologies. Why Join Us: Opportunity to lead enterprise-scale cloud and AI transformation initiatives. Work on cutting-edge Agentic AI architectures and multi-cloud platforms. Collaborative environment with global teams and high-impact projects. Exposure to modern DevSecOps, platform engineering, and AI-driven solutions. Strong focus on innovation, leadership growth, and continuous learning in emerging technologies.
Reinventing Geospatial, Inc. (RGi)
Chantilly, Virginia
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Reinventing Geospatial, Inc. (RGi)
Gaithersburg, Maryland
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Reinventing Geospatial, Inc. (RGi)
Saint Louis, Missouri
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
09/26/2026
Full time
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
09/26/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization
09/26/2026
Full time
Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/26/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/26/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
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 Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 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. Masters, 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 Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 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.
09/25/2026
Full time
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 Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 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. Masters, 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 Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 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. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 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. Masters, 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 Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 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.
09/25/2026
Full time
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 Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 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. Masters, 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 Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 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. 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.
09/25/2026
Full time
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 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.
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 Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). 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). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 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.
09/25/2026
Full time
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 Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). 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). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 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.
Southern Glazer's Wine & Spirits seeks a 2027 Summer Internship AI Engineer to develop data-driven solutions for wholesale distribution. You'll help design and test ML models for forecasting, routing, and sales optimization using real enterprise datasets. Working with data, IT, and business teams, you'll build prototypes in Python, analyze performance, and present insights. Gain hands-on exposure to modern AI tools, cloud platforms, and MLOps concepts in a collaborative, people-first culture that values learning, inclusion, and community impact across North America. Responsibilities Support design, training, and evaluation of AI/ML models for sales, logistics, and demand forecasting use cases in wholesale distribution Assist in data preparation, feature engineering, and model performance analysis using large operational and commercial datasets Implement and test prototypes in Python, leveraging modern ML and deep learning frameworks under senior engineer guidance Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions Help document models, experiments, and results and contribute to code reviews and best practices Build dashboards, reports, or APIs to surface AI insights to internal users across sales and operations Required Skills Python Machine learning fundamentals Data preprocessing and feature engineering SQL and relational databases Deep learning frameworks (e.g., Tensor Flow or Py Torch) Data visualization (e.g., Tableau, Power BI, matplotlib) Version control with Git Cloud platforms (e.g., AWS, Azure, GCP) Statistical analysis REST APIs or basic software engineering practices
09/24/2026
Full time
Southern Glazer's Wine & Spirits seeks a 2027 Summer Internship AI Engineer to develop data-driven solutions for wholesale distribution. You'll help design and test ML models for forecasting, routing, and sales optimization using real enterprise datasets. Working with data, IT, and business teams, you'll build prototypes in Python, analyze performance, and present insights. Gain hands-on exposure to modern AI tools, cloud platforms, and MLOps concepts in a collaborative, people-first culture that values learning, inclusion, and community impact across North America. Responsibilities Support design, training, and evaluation of AI/ML models for sales, logistics, and demand forecasting use cases in wholesale distribution Assist in data preparation, feature engineering, and model performance analysis using large operational and commercial datasets Implement and test prototypes in Python, leveraging modern ML and deep learning frameworks under senior engineer guidance Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions Help document models, experiments, and results and contribute to code reviews and best practices Build dashboards, reports, or APIs to surface AI insights to internal users across sales and operations Required Skills Python Machine learning fundamentals Data preprocessing and feature engineering SQL and relational databases Deep learning frameworks (e.g., Tensor Flow or Py Torch) Data visualization (e.g., Tableau, Power BI, matplotlib) Version control with Git Cloud platforms (e.g., AWS, Azure, GCP) Statistical analysis REST APIs or basic software engineering practices
Software Solutions Architect Direct hire Hybrid - Dublin, OH or Orlando, FL JOB SUMMARY An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems. ESSENTIAL DUTIES & RESPONSIBILITIES Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • Excels in meeting both explicit and implicit user needs. • Act as a thought leader in software engineering and AI-augmented development-designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality. • Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents. • Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows. • Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures. • Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking. Data Management • Partner with other expertise sets to provide prescriptive and anticipatory intelligence. • Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services. • Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation). • Set organizational best practices for data management and is considered a Subject Matter Expert. Infrastructure & Integrations • Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization. • Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services. • Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management. Operations • Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes. • Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems. • Subject Matter Expert in operational best practices, tools, and techniques. • Understand business impact at a macro level and advocate for protecting company reputation. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents). • Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST). • Set the standard for security and compliance within the organization. Product & User Experience • Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate. • Define user interaction patterns for multiple products, fostering consistent experiences. • Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set industry standards in crafting functional and non-functional requirements. • Orchestrate complex system architectures. • Fully understand the path of data. • Manage the balance of engineering future and current needs. • Set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work-generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints. KNOWLEDGE & REQUIREMENTS • Highly motivated, self-learner, and technically inquisitive, with a strong bias toward applying emerging AI tooling to engineering problems. • Significant experience creating architecture for complex distributed systems and leading teams through development of those systems. • Hands-on experience using Agentic AI for architecture, technical design, and implementation (e.g., AI coding agents, design copilots, automated code review, RAG-based design assistants). • Capable of leading and/or participating in business, culture, technical, and practice initiatives that support continuous improvement across the organization, including driving adoption of AI-augmented engineering workflows. • Excellent track record of collaborating with stakeholders. Experience proposing new product offerings and contributing to company-wide strategies using industry knowledge and foresight. • Negotiates complex or risky technical business issues on behalf of the company. • Consults with management to determine project objectives with long-term implications. • Experience leading technical due diligence and road mapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities: capable of communicating strategy and influencing others to align to future state architecture. • Expert level experience with multiple client-side and server-side programming languages (Java with Spring Boot, JavaScript React experience preferred). • Expert level experience developing, deploying, and supporting REST services and microservices. • Expert level experience with container orchestration platforms and cloud-native architectures; ability to design and lead adoption of cloud services across major cloud providers regardless of specific platform. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Expert level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Capable of joining a team to lead initiatives and create software to solve challenging problems. EDUCATION & EXPERIENCE REQUIREMENTS • Minimum years of work experience: 8+ years (including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation) • Minimum level of education or education/experience: Bachelor's or Advanced Degree in related field or equivalent work experience Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions) . click apply for full job details
09/24/2026
Full time
Software Solutions Architect Direct hire Hybrid - Dublin, OH or Orlando, FL JOB SUMMARY An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems. ESSENTIAL DUTIES & RESPONSIBILITIES Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • Excels in meeting both explicit and implicit user needs. • Act as a thought leader in software engineering and AI-augmented development-designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality. • Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents. • Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows. • Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures. • Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking. Data Management • Partner with other expertise sets to provide prescriptive and anticipatory intelligence. • Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services. • Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation). • Set organizational best practices for data management and is considered a Subject Matter Expert. Infrastructure & Integrations • Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization. • Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services. • Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management. Operations • Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes. • Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems. • Subject Matter Expert in operational best practices, tools, and techniques. • Understand business impact at a macro level and advocate for protecting company reputation. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents). • Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST). • Set the standard for security and compliance within the organization. Product & User Experience • Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate. • Define user interaction patterns for multiple products, fostering consistent experiences. • Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set industry standards in crafting functional and non-functional requirements. • Orchestrate complex system architectures. • Fully understand the path of data. • Manage the balance of engineering future and current needs. • Set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work-generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints. KNOWLEDGE & REQUIREMENTS • Highly motivated, self-learner, and technically inquisitive, with a strong bias toward applying emerging AI tooling to engineering problems. • Significant experience creating architecture for complex distributed systems and leading teams through development of those systems. • Hands-on experience using Agentic AI for architecture, technical design, and implementation (e.g., AI coding agents, design copilots, automated code review, RAG-based design assistants). • Capable of leading and/or participating in business, culture, technical, and practice initiatives that support continuous improvement across the organization, including driving adoption of AI-augmented engineering workflows. • Excellent track record of collaborating with stakeholders. Experience proposing new product offerings and contributing to company-wide strategies using industry knowledge and foresight. • Negotiates complex or risky technical business issues on behalf of the company. • Consults with management to determine project objectives with long-term implications. • Experience leading technical due diligence and road mapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities: capable of communicating strategy and influencing others to align to future state architecture. • Expert level experience with multiple client-side and server-side programming languages (Java with Spring Boot, JavaScript React experience preferred). • Expert level experience developing, deploying, and supporting REST services and microservices. • Expert level experience with container orchestration platforms and cloud-native architectures; ability to design and lead adoption of cloud services across major cloud providers regardless of specific platform. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Expert level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Capable of joining a team to lead initiatives and create software to solve challenging problems. EDUCATION & EXPERIENCE REQUIREMENTS • Minimum years of work experience: 8+ years (including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation) • Minimum level of education or education/experience: Bachelor's or Advanced Degree in related field or equivalent work experience Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions) . 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 Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript 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. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. 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.
09/24/2026
Full time
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 Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript 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. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. 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.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
