Vantor
Herndon, Virginia
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI with CI poly level. Unlock your future with Vantor! We need a Senior DevSecOps Engineer with on-prem and cloud expertise to support efforts to manage our new infrastructure platform. Join our operations, software, and analytics team, where your skills and mission-focused mindset will play a pivotal role in crafting solutions to enable intelligence analysts across a broad national security user base. This is an award-winning team that enjoys unleashing the power of technology for intelligence professionals and warfighters. Responsibilities: Leverage OpenShift and Kubernetes to configure, monitor, and maintain this private cloud environment Create and maintain automated, repeatable environment creation and configuration (Infrastructure as Code) scripts using ansible, chef, or similar tools Create and maintain automated DevSecOps pipelines using leading open-source offerings, including ArgoCD, GitLab, SonarQube, Cucumber, JMeter, and Cypress.io Monitor, Predict, Update, and Resolve issues at all levels, from bare-metal operating systems to deployed applications Oversee and manage compliance to ATO accreditation needs with tuning, patching or documentation. Communicate with multidisciplinary SAFe Agile teams and articulate technical concepts and ideas effectively. Minimum Qualifications: Must be a U.S. Citizen with an active TS/SCI with CI poly (or willingness to obtain a CI poly). Bachelor's degree with 8 years of total professional experience in a technical support role (additional years of experience can be substituted in lieu of a degree). Demonstrated technical experience with DevSecOps and strong Linux experience. Open source and custom application deployments and maintenance experience. Capable of working effectively with a geographically distributed ops & development team Communicate effectively with customers and team in written and oral forums Willingness to work 90% or as needed in a SCIF environment in Herndon, VA. Desired Qualifications: Experience with: Hardware and software sustainment with IC and DoD networks. Distributed processing methods and tools, such as REST APIs, microservices, IaaS/PaaS services. Developing and deploying web services Working with open-source resources in a government computing environment Maintaining backend GIS technologies ICD 503 Big data technologies such as ElasticSearch, Accumulo, Spark, Hive, or Hadoop Familiarity with: Hybrid cloud/on-prem architecture, RedHat, AWS, C2S, and OpenShift. Concepts such as Data visualization; Data management, Data integration, User Interfaces, Databases CompTIA Security+ or comparable certification for privileged user access. Experience in/or supporting military/intelligence or knowledge of some TCPED systems is a plus! Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI with CI poly level. Unlock your future with Vantor! We need a Senior DevSecOps Engineer with on-prem and cloud expertise to support efforts to manage our new infrastructure platform. Join our operations, software, and analytics team, where your skills and mission-focused mindset will play a pivotal role in crafting solutions to enable intelligence analysts across a broad national security user base. This is an award-winning team that enjoys unleashing the power of technology for intelligence professionals and warfighters. Responsibilities: Leverage OpenShift and Kubernetes to configure, monitor, and maintain this private cloud environment Create and maintain automated, repeatable environment creation and configuration (Infrastructure as Code) scripts using ansible, chef, or similar tools Create and maintain automated DevSecOps pipelines using leading open-source offerings, including ArgoCD, GitLab, SonarQube, Cucumber, JMeter, and Cypress.io Monitor, Predict, Update, and Resolve issues at all levels, from bare-metal operating systems to deployed applications Oversee and manage compliance to ATO accreditation needs with tuning, patching or documentation. Communicate with multidisciplinary SAFe Agile teams and articulate technical concepts and ideas effectively. Minimum Qualifications: Must be a U.S. Citizen with an active TS/SCI with CI poly (or willingness to obtain a CI poly). Bachelor's degree with 8 years of total professional experience in a technical support role (additional years of experience can be substituted in lieu of a degree). Demonstrated technical experience with DevSecOps and strong Linux experience. Open source and custom application deployments and maintenance experience. Capable of working effectively with a geographically distributed ops & development team Communicate effectively with customers and team in written and oral forums Willingness to work 90% or as needed in a SCIF environment in Herndon, VA. Desired Qualifications: Experience with: Hardware and software sustainment with IC and DoD networks. Distributed processing methods and tools, such as REST APIs, microservices, IaaS/PaaS services. Developing and deploying web services Working with open-source resources in a government computing environment Maintaining backend GIS technologies ICD 503 Big data technologies such as ElasticSearch, Accumulo, Spark, Hive, or Hadoop Familiarity with: Hybrid cloud/on-prem architecture, RedHat, AWS, C2S, and OpenShift. Concepts such as Data visualization; Data management, Data integration, User Interfaces, Databases CompTIA Security+ or comparable certification for privileged user access. Experience in/or supporting military/intelligence or knowledge of some TCPED systems is a plus! Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
McKesson
Cary, North Carolina
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes. What You'll Do Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services. Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities. Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls. Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET. Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns. Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms. Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices. Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments. Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria. Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention. Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams. Basic Requirements 7+ years of professional software engineering experience developing enterprise-scale applications. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies. Experience developing modern front-end applications using React and TypeScript. Experience designing and consuming REST APIs, microservices, and enterprise integrations. Experience developing cloud-native applications on Microsoft Azure. Experience with CI/CD, source control, automated testing, SDLC, and Agile practices. Experience acting as a technical lead or primary owner for an enterprise application, service, or platform. Experience designing scalable architectures, documenting trade-offs, and supporting production systems. Demonstrated ability to turn ambiguous business needs into delivered technical solutions. Preferred Skills / Experience Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms. Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms. Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies. Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET. Experience designing, developing, securing, and supporting REST APIs and enterprise integration services. Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms. Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows. Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services. Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes. Experience developing data visualization, analytics, and operational reporting solutions using Power BI. Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms. Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns. Experience leading application modernization, cloud transformation, or platform engineering initiatives. Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments. Travel, Work Arrangement & Physical Requirements Hybrid or remote work arrangement based on business needs. Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops. Ability to work on a computer for extended periods and participate in virtual collaboration activities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes. What You'll Do Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services. Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities. Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls. Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET. Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns. Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms. Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices. Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments. Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria. Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention. Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams. Basic Requirements 7+ years of professional software engineering experience developing enterprise-scale applications. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies. Experience developing modern front-end applications using React and TypeScript. Experience designing and consuming REST APIs, microservices, and enterprise integrations. Experience developing cloud-native applications on Microsoft Azure. Experience with CI/CD, source control, automated testing, SDLC, and Agile practices. Experience acting as a technical lead or primary owner for an enterprise application, service, or platform. Experience designing scalable architectures, documenting trade-offs, and supporting production systems. Demonstrated ability to turn ambiguous business needs into delivered technical solutions. Preferred Skills / Experience Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms. Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms. Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies. Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET. Experience designing, developing, securing, and supporting REST APIs and enterprise integration services. Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms. Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows. Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services. Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes. Experience developing data visualization, analytics, and operational reporting solutions using Power BI. Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms. Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns. Experience leading application modernization, cloud transformation, or platform engineering initiatives. Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments. Travel, Work Arrangement & Physical Requirements Hybrid or remote work arrangement based on business needs. Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops. Ability to work on a computer for extended periods and participate in virtual collaboration activities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
KPMG
Los Angeles, California
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
