20 jobs found

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

AWS runs one of the largest networks in the world, and MONA (Management, Out-of-Band Networks, and Automation) alone owns the full lifecycle of over one million physical devices. We are in the critical path for every new data center powering the AI revolution. Everything we run, we build in-house: controllers, software-defined networking (SDN), and planning software. For example, we own a controller for agentic network auto-remediation, and the planning software that plans every new data center down to capacity and ports. We are looking for a Software Development Engineer II to own the design and delivery of core components of these systems end-to-end - from design through production - and to keep growing your technical scope. You do not need a networking background up front; strong engineers learn our domain here, on a team that invests in your growth and gives you real ownership at a scale almost nowhere else can offer. Key job responsibilities - Own the design, implementation, and operation of well-scoped components and features of our in-house network software - controllers, SDN, planning software, and out-of-band systems - end-to-end. - Turn ambiguous requirements into high-quality, well-tested, scalable code; contribute to design docs and design reviews. - Operate your services in production and uphold high operational standards, improving monitoring and alarming as you go. - Drive correctness and safety for automation that acts on production networks: idempotency, guardrails, and observability that proves work actually happened. - Collaborate with your team and partner teams to evolve the product and continuously improve code, processes, and quality. - Mentor junior engineers and contribute to the team through thoughtful code reviews. - Participate in the on-call rotation for the services you own. A day in the life You own a component end-to-end: you write the design, build it, ship it, and operate it. One morning you are extending our controller for agentic network auto-remediation; the next you are improving how the planning software allocates ports and capacity for a new data center build. You will make a teammate's change better in review, tighten operational excellence on your service, and help a junior engineer level up - all on systems that run at a scale almost nowhere else can offer, with real ownership and teammates sharp enough to make you better. About the team MONA (Management, Out-of-Band Networks, and Automation) is part of AWS Networking. We are a highly motivated team of software, systems, and network developers who thrive on solving challenging problems and building large-scale distributed systems. AWS runs one of the largest networks in the world, and MONA alone owns the full lifecycle of over a million physical devices. Everything we run we build in-house: controllers, software-defined networking, planning software, and out-of-band management systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 3+ years of Object Oriented Design experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with server, storage, networking, or large-scale distributed systems - Experience building production software applications or understanding software development, distributed systems, and systems architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.

AWS runs one of the largest networks in the world, and MONA (Management, Out-of-Band Networks, and Automation) alone owns the full lifecycle of over one million physical devices. We are in the critical path for every new data center powering the AI revolution. Everything we run, we build in-house: controllers, software-defined networking (SDN), and planning software. For example, we own a controller for agentic network auto-remediation, and the planning software that plans every new data center down to capacity and ports. We are looking for a Software Development Engineer II to own the design and delivery of core components of these systems end-to-end - from design through production - and to keep growing your technical scope. You do not need a networking background up front; strong engineers learn our domain here, on a team that invests in your growth and gives you real ownership at a scale almost nowhere else can offer. Key job responsibilities - Own the design, implementation, and operation of well-scoped components and features of our in-house network software - controllers, SDN, planning software, and out-of-band systems - end-to-end. - Turn ambiguous requirements into high-quality, well-tested, scalable code; contribute to design docs and design reviews. - Operate your services in production and uphold high operational standards, improving monitoring and alarming as you go. - Drive correctness and safety for automation that acts on production networks: idempotency, guardrails, and observability that proves work actually happened. - Collaborate with your team and partner teams to evolve the product and continuously improve code, processes, and quality. - Mentor junior engineers and contribute to the team through thoughtful code reviews. - Participate in the on-call rotation for the services you own. A day in the life You own a component end-to-end: you write the design, build it, ship it, and operate it. One morning you are extending our controller for agentic network auto-remediation; the next you are improving how the planning software allocates ports and capacity for a new data center build. You will make a teammate's change better in review, tighten operational excellence on your service, and help a junior engineer level up - all on systems that run at a scale almost nowhere else can offer, with real ownership and teammates sharp enough to make you better. About the team MONA (Management, Out-of-Band Networks, and Automation) is part of AWS Networking. We are a highly motivated team of software, systems, and network developers who thrive on solving challenging problems and building large-scale distributed systems. AWS runs one of the largest networks in the world, and MONA alone owns the full lifecycle of over a million physical devices. Everything we run we build in-house: controllers, software-defined networking, planning software, and out-of-band management systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 3+ years of Object Oriented Design experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with server, storage, networking, or large-scale distributed systems - Experience building production software applications or understanding software development, distributed systems, and systems architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

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.

Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.

Job Description Job Description Description: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. The specialist will design and implement agent orchestration frameworks, integrate model-driven decision logic, and build robust, production-grade agent capabilities that safely leverage emerging AI techniques. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. The role provides technical leadership, explores cutting-edge agentic patterns, drives proof-of-concept innovation, and partners with engineering and product teams to translate experimental architectures into real-world impact. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's Degree and 10+ years of software engineering experience Experience designing, developing, and supporting production applications, platforms, or services. Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution. Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions that align with technical and operational objectives. Experience with large language model (LLM) development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns. Proficiency in Python and experience working with APIs, microservices, distributed computing environments, and cloud-native architectures. Experience deploying and integrating AI agents or LLM-enabled applications within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP). Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance. Ability to contribute to solution design discussions, provide technical guidance to team members, and communicate AI-related concepts to technical and non-technical audiences. Experience using version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management for production environments. Desired Qualifications: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks. Familiarity with advanced tool-calling strategies, including dynamic tool selection, function-call planning, or graph-structured task planners. Experience with structured LLM evaluation methods, agent benchmarking, or test harnesses for autonomous systems. Knowledge of performance optimization techniques for LLMs and agents, including caching, model distillation, model routing, or accelerated inference. Background integrating agentic components with large-scale data or analytics platforms (e.g., Databricks, Snowflake, Spark). Hands-on experience developing innovative POCs or experimental agentic architectures in fast-paced R&D environments. Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, CrewAI, etc. Exposure to safety-oriented design patterns for autonomous systems, including guardrails, validation layers, or constrained-action frameworks. Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows. Working Environment : eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any othe

This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .

This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .

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 Cyber Product Development team is looking for a DevSecOps focused Software engineer with a passion for GenAI/Agentic development,Open source & Automation solutioning,and desire to apply development skills to solve problems via and integrated approach. You will be responsible for working with stakeholders to collect detailed requirements and develop solutions through coding to further Cyber Security initiatives. In this position, you are a passionate and talented engineer/developer who will independently drive deliverablesand utilize complex problem-solving abilities and coding/testing/debugging skillswithin a team environment. You must be dedicated to working with stakeholders, adhering to timelines & delivering production-ready code in short timeframes and willing to go beyond the routine. Essential Functions: Use modern GenAI coding tools and agentic development patterns to rapidly design, build, test, and deliver cybersecurity automation solutions. AgenticDesign Patterns & Methods creating and using agents, sub agents, agent swarms, memory, context and prompt refinement. Develop with Python to create agents and sub-agents for alert triage, evidence collection, enrichment, investigation summarization, remediation recommendations, and analyst workflow automation. Delivery production ready code using cutting edge development tools and harnesses (Codex, Claude Code, CLINE etc) focusing on developing with supervisor-agent workflows that coordinate planning, coding, validation. Comfortable &highlyproficient with Codex, Claude Code or CLINE. Develop and release cybersecurity investigation agents with safe tool use, clear execution boundaries, and auditability across existing large tool bases. Create GenAI-enabled MCP, A2A, & Tool based REST APIs integrations. Work in both relational (SQL), non-relational databases (Elastic) & Cloudbased data storage systems. Build production-ready Python, Django, Linux web-stack, and containerized applications for secure internal tools, APIs, dashboards, and cybersecurity automation services. Apply SQL, Elastic Stack, Lucene-based search, and large-scale data analysis to correlate security signals and support cybersecurity investigations. Design, containerize, deploy, and operationalize solutions using CI/CD, automated testing, validation, monitoring, and quality assurance practices. Validate agentic systems through unit testing, integration testing, regression testing, security testing, tool-call review, generated-code review, and agent behavior evaluation. Troubleshoot and optimize Python applications, Linux environments, containers, APIs, web services, and cybersecurity automation workflows. Work with stakeholders to clarify requirements, iterate on designs, deliver working solutions, document outcomes, and support production deployments. Communicate clearly and collaborate effectively across cybersecurity, engineering, operations, and product teams in a fast-moving delivery environment. 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 Product Development Experience Agent Development experience Strong understanding of Cybersecurity Incident Response concepts Agentic Design Patterns & Methods - using Generative AI models via function calling, specialized prompting. Comfortable with concepts of Langchain/smith, Crew ai/Camel ai and other GenAI agent & tool based solutions. 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) Masters graduates must have 2+ years of relevant work experience to qualify. Minimum Bachelor's degree required from an accredited institution. Hands on experience in developing & coding GenAI Agentic solutions using GenAI design patterns and concepts using Python across a large code base. Experience standard software development practices, usage of source control, CI/CD pipelines & strong coding background. Strong understanding of Cybersecurity Incident Response concepts Agentic Design Patterns & Methods - using Generative AI models via function calling, specialized prompting. Comfortable with concepts of Langchain/smith, Crew ai/Camel ai and other GenAI agent & tool based solutions. Linux - Strong Linux and systems engineering knowledge. Python - Expert level experience with Python, Python web frameworks, Web Front End - Django/Angular/React and/or Java Script experience. Independent - no micromanaging here, but you must be able to communicate via continuous documentation, JIRA Ticketing updates Experience in Project life cycle activities on development and maintenance projects. Including CI/CD and tools development. 4+ years in Python or other similar development technology. Strong customer centric mindset. Proactive sense of urgency and 'can do' attitude Strategic thinker who can balance big picture strategy with detailed, flawless execution Financial services and card payments experience is a plus Excellent communication skills Excellent team player Anthropic Claude, OpenAI Codex, OSCP (Offensive Security Certified Professional), or similar AI engineering and cybersecurity certifications are a plus. Desired Skills: Python development experience for cybersecurity automation, investigation workflows, API integrations, and production support. Cybersecurity incident response experience, including alert triage, evidence collection, enrichment, containment, remediation tracking, and analyst workflow improvement. AI development design-pattern experience, including agentic workflows, tool-calling, supervisor agents, sub-agents, planning agents, validation agents, and context management. SOAR and security platform experience, SIEM tools, WAF, firewall, endpoint, cloud security, or threat-intelligence platforms. Information for US Applicants For roles located in the US, the estimated salary range for this position is $116,800.00 to $ 180,600.00 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.

AI Principal Technical Consultant (ServiceNow AI) DETAILS Location: Remote Travel: up to 25% travel, as needed Position Type: 12M+ Contract Hourly / Salary: to $160W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking multiple AI Principal Technical Consultants for a 12M+ Contract opportunity that will be remote. The AI Principal Technical Consultants will leverage deep ServiceNow expertise to architect, design, develop, and deploy AI-powered solutions across the ServiceNow platform, including Now Assist, AI Agents, Agentic AI Workflows, Predictive Intelligence, and GenAI-enabled process automation. The AI Principal Technical Consultants will serve as the technical lead for enterprise AI initiatives by mentoring development teams, ensuring solution quality, providing architectural guidance, and overseeing project delivery from design through implementation. The AI Principal Technical Consultants will deliver consulting, integration, and enterprise AI solutions that enable intelligent automation, optimize business processes, and drive measurable business value across the organization. JOB REQUIREMENTS ServiceNow SME (Subject Matter Expert) Developing / Architecting Solutions on the ServiceNow Platform ServiceNow Process Areas (expertise) - ITSM / ITOM / HRSD / CSM / SPM, etc. + AI / Automation Capabilities in 1+ Areas ServiceNow Development - Scripting / Workflow Development / AI Agent Configuration / Skill Development / Workflow Orchestration ServiceNow AI / Agentic AI Implementing ServiceNow AI Capabilities (Now Assist / AI Agents / Predictive Intelligence / Virtual Agent / NLU / Agentic AI Workflows) Designing AI / Intelligent Automation Solutions via ServiceNow AI Platform ServiceNow AI Roadmaps / Best Practices / Emerging Platform Capabilities AI / GenAI Technologies Generative AI / LLM Expertise - GenAI / LLM / Prompt Engineering / RAG / AI Governance Evaluating AI Architectures - Build vs. Configuration Architecture Decisions / Model Selection / Enterprise AI Design Tradeoffs Responsible AI / AI Governance / Security / Compliance Integration / Solution Architecture ServiceNow AI Capability Integration - 3rd Party Applications / LLM Providers / Enterprise Data Platforms / APIs / Automation Tools Enterprise AI Solution Architecture - Architecting Scalable / Secure / Maintainable Solutions Across Multiple Technology Platforms Consulting / Leadership Technical Lead / Solution Architect on Enterprise ServiceNow Implementations Mentor Developers / Provide Architectural Guidance / Perform Technical Reviews / Ensure High-Quality Project Delivery Translating Business Requirements into Technical AI Solutions Executive Engagement Effectively Communicating AI Strategy / Business Value / ROI / Technical Recommendations to Executive / Technical Audiences Excellent Written / Verbal Communication Skills + Strong Stakeholder Management Abilities 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), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, 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. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations 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), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, 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. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details

AI Senior Technical Consultant (ServiceNow AI) DETAILS Location: Remote Travel: Up to 25% travel, as needed Position Type: 6M+ Contract Hourly / Salary: to $145W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking multiple AI Senior Technical Consultants for a 6M+ Contract opportunity that will be remote. The AI Senior Technical Consultants will lead the end-to-end development of AI-enabled solutions across the ServiceNow platform utilizing capabilities such as Now Assist, AI Agents, Predictive Intelligence, AI Search, Agentic AI Workflows, and GenAI-powered automation. The AI Senior Technical Consultants will guide technical implementation efforts by mentoring Technical Consultants, partnering with Principal Technical Consultants and Solution Architects, and delivering secure, scalable AI solutions across ServiceNow product suites including ITSM, ITOM, ITAM, SecOps, IRM, CSM, HRSD, SPM, and ESM. The AI Senior Technical Consultants will translate business requirements into intelligent automation solutions by combining deep ServiceNow platform engineering expertise with applied AI technologies, enabling organizations to successfully adopt enterprise AI and agentic workflows. JOB REQUIREMENTS ServiceNow Platform Engineering Designing / Developing Enterprise Solutions on the ServiceNow Platform ServiceNow Product Expertise - ITSM / ITOM / ITAM / SecOps / IRM / CSM / HRSD / SPM / ESM ServiceNow Development (advanced / hands-on) - Scripting / Workflow Development / Flow Designer / AI Agent Configuration / Skill Development Building / Testing / Deploying Enterprise ServiceNow Solutions ServiceNow AI / Agentic AI Developing AI Solutions via Now Assist / AI Agents / Predictive Intelligence / AI Search / Agentic AI WFs Building Intelligent Automation Solutions Across the ServiceNow Platform AI Enablement Across Multiple ServiceNow Product Suites AI / GenAI Technologies GenAI / LLM Concepts / Prompt Engineering / AI Governance Developing AI-Driven Business Solutions via Modern AI Capabilities Responsible AI / Security / Governance Best Practices Platform Integration / Data Foundations Developing Integrations with Enterprise Apps / APIs / Enterprise Data Platforms / 3rd Party Technologies Building AI Solutions utilizing Enterprise Data Foundations Supporting Enterprise Workflow Automation / Cross-Platform Integrations Technical Leadership Leading Technical Development Activities Across Enterprise AI Projects Mentoring Technical Consultants / Junior Developers Partnering with Principal Technical Consultants / Solution Architects Translating Business Requirements into Secure / Governed / Scalable AI Solutions Collaboration / Communication Collaborating with Business Stakeholders / Architects / Cross-Functional Technical Teams Communicating Technical Solutions / Risks / Project Status Throughout Delivery 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), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, 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. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

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 You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components 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 • 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) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • 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 and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 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 Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, automation frameworks, and mobile technologies to deliver secure, scalable, and high-quality solutions that drive business outcomes in the fintech sector. This position focuses on developing innovative mobile applications, SDKs, and platform capabilities that enable secure authentication, digital identity, payment security, fraud prevention, and customer engagement experiences across Android and iOS platforms. Engineers collaborate with product managers, architects, designers, QA engineers, operations teams, and compliance partners to deliver resilient, secure, and scalable mobile solutions used by millions of consumers worldwide. All roles require digital fluency, including the ability to effectively leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT, and Agentic Development workflows) to improve engineering productivity, software quality, and developer experience. Key Responsibilities: Software Engineering & Solution Delivery: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs and solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business objectives and timelines. Design and develop product components, refine implementation plans, and participate in design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, delivery planning, and risk identification. Lead by example in creating, implementing, and maintaining extensible, reusable, and maintainable code. Apply debugging, monitoring, and observability tools to resolve complex technical issues and identify opportunities for automation. Lead code reviews and drive adherence to coding standards, security requirements, and engineering best practices. Develop comprehensive testing strategies, identify coverage gaps, and proactively address defects to minimize customer impact. Leverage operational metrics, analytics, and monitoring data to improve product reliability and performance. Participate in on-call rotations and assist with incident response, troubleshooting, and production support activities. Continuously learn emerging technologies and contribute innovative solutions that improve products, development processes, and engineering practices. Mobile Engineering: Design, develop, test, deploy, and support native Android and/or iOS applications. Build scalable, secure, resilient, and high-performing mobile experiences. Collaborate closely with backend, platform, product, and security teams to deliver customer-focused solutions. Drive architecture decisions and engineering standards across mobile platforms. Optimize performance, responsiveness, memory utilization, and battery efficiency. Support production troubleshooting and continuous service improvement initiatives. Mobile Platform Engineering, SDK Development & Release Automation (Strong Plus) Candidates with experience in mobile platform engineering, SDK development, and release automation will be highly preferred. Design, develop, and maintain scalable, secure, and high-performing mobile applications, SDKs, and reusable frameworks that support enterprise-grade customer experiences across Android and iOS platforms. Build and evolve developer-facing SDKs, APIs, and platform capabilities, while creating comprehensive technical documentation, sample applications, and integration guides that enable successful adoption by internal teams and external partners. Lead the implementation of modern mobile DevOps practices by designing and maintaining automated CI/CD pipelines that streamline development, testing, security validation, deployment, and release management processes. Own the end-to-end mobile release lifecycle, including SDK versioning, backward compatibility, code signing, application publishing, App Store and Google Play deployments, rollout strategies, and production support. Drive continuous improvement in engineering productivity, developer experience, platform reliability, and customer integration success through automation, tooling, operational excellence, and engineering best practices. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience developing and supporting native mobile applications on Android and/or iOS platforms. Preferred Qualifications: 6+ years of work experience with a Bachelor's Degree or 4+ years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience leading technical initiatives, mentoring engineers, and driving engineering best practices with or without direct reports. Experience designing, building, and maintaining scalable software solutions and services. Experience creating and maintaining test strategies, test plans, and quality assurance processes. Experience debugging, troubleshooting, and resolving complex software issues in production environments. Experience collaborating with cross-functional teams to deliver technical solutions and business outcomes. Experience conducting code reviews and enforcing coding standards, security requirements, and software engineering best practices. Experience building, enhancing, or supporting developer tools, automation capabilities, and engineering productivity initiatives. Experience designing, developing, and supporting enterprise-grade Android and/or iOS applications. Experience building and maintaining mobile SDKs, reusable libraries, and developer-facing APIs. Experience implementing mobile CI/CD pipelines, deployment automation, release engineering, and mobile DevOps practices. Experience building and testing enterprise-scale applications, services, and mobile platforms. Experience working on customer-facing products, technical teams, or platform engineering organizations. Experience with mobile deployment and delivery tools such as GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager (SPM), Google Play Console, and App Store Connect. Experience in Payments, FinTech, Digital Identity, Authentication, Fraud Prevention, Risk Management, or Cybersecurity domains. Experience leveraging Generative AI and AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, or similar technologies to improve software delivery and developer productivity. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137.200,00 to $ 219.700,00 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 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.

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 Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. 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: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office 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). 3+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 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.