This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details
11/10/2026
Full time
This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details
Adaptive Financial Consulting Ltd
New York, New York
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a technology provider firm that partners with capital, commodity, and digital market participants to build custom front-office technology, messaging systems, and trading infrastructure. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach, with offices in London, New York, Barcelona, Montreal, and Manila, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions, and we value technical pragmatism, collaboration, and clear communication. We're looking for a Senior Java / Systems Engineer with significant experience in Platform Exchange Systems to design, deliver, and optimize production-ready, high-performance, low-latency technology using Aeron. YOU ARE: A hands-on engineer who enjoys designing and optimising low-latency Java services and protocols across the full delivery lifecycle. Someone with genuine experience building Matching Engines and Platform Exchange Systems. Driven by evidence-based engineering, automated testing, benchmarking, and profiling rather than guesswork. A clear, confident communicator who can work across domain boundaries in a collaborative Agile environment, rather than being siloed into a single technology stack. YOU HAVE: Strong server-side, low-latency Java expertise (concurrency, memory management, I/O, and performance profiling). Solid exchange, risk, or matching-engine experience. Hands-on experience building automated testing strategies, running performance benchmarks, and diagnosing production issues. Excellent technical communication and collaborative problem-solving skills. Experience with order entry and market data protocols (e.g. FIX, ITCH). Familiarity with low-latency frameworks such as Aeron, Chronicle, or LBM. An understanding of replicated state machines, event sourcing, or deterministic systems. Exposure to cloud environments (AWS/GCP), containers, Kubernetes, or observability tooling. YOU WILL: Design, build, and optimise low-latency Java services and protocols for an Exchange Accelerator product across the delivery lifecycle. Define order, session, instrument, and account models alongside exchange integration boundaries. Develop automated testing strategies and perform evidence-based performance benchmarking and profiling. Collaborate directly with client teams, SREs, QA, and leadership to ensure exchange readiness and durable production fixes. Engage with client engineering and business stakeholders, communicating technical trade-offs clearly. Support the product in production across multiple client deployments. (And after six months) Independently own key technical workstreams from concept to production readiness. Deliver maintainable, observable, and well-tested systems aligned with core architecture. Establish trusted relationships with clients through clear communication and steady delivery. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it). To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): For permanents: We create benefits with YOU in mind. We create benefits with YOU in mind: Flexible hybrid working model Medical from the 1st of the following month of your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Mental Health First Aiders THE PROCESS Long interview processes are stressful and boring and that is not us! We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A Zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive. E-verify: Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$260,000 USD
11/10/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a technology provider firm that partners with capital, commodity, and digital market participants to build custom front-office technology, messaging systems, and trading infrastructure. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach, with offices in London, New York, Barcelona, Montreal, and Manila, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions, and we value technical pragmatism, collaboration, and clear communication. We're looking for a Senior Java / Systems Engineer with significant experience in Platform Exchange Systems to design, deliver, and optimize production-ready, high-performance, low-latency technology using Aeron. YOU ARE: A hands-on engineer who enjoys designing and optimising low-latency Java services and protocols across the full delivery lifecycle. Someone with genuine experience building Matching Engines and Platform Exchange Systems. Driven by evidence-based engineering, automated testing, benchmarking, and profiling rather than guesswork. A clear, confident communicator who can work across domain boundaries in a collaborative Agile environment, rather than being siloed into a single technology stack. YOU HAVE: Strong server-side, low-latency Java expertise (concurrency, memory management, I/O, and performance profiling). Solid exchange, risk, or matching-engine experience. Hands-on experience building automated testing strategies, running performance benchmarks, and diagnosing production issues. Excellent technical communication and collaborative problem-solving skills. Experience with order entry and market data protocols (e.g. FIX, ITCH). Familiarity with low-latency frameworks such as Aeron, Chronicle, or LBM. An understanding of replicated state machines, event sourcing, or deterministic systems. Exposure to cloud environments (AWS/GCP), containers, Kubernetes, or observability tooling. YOU WILL: Design, build, and optimise low-latency Java services and protocols for an Exchange Accelerator product across the delivery lifecycle. Define order, session, instrument, and account models alongside exchange integration boundaries. Develop automated testing strategies and perform evidence-based performance benchmarking and profiling. Collaborate directly with client teams, SREs, QA, and leadership to ensure exchange readiness and durable production fixes. Engage with client engineering and business stakeholders, communicating technical trade-offs clearly. Support the product in production across multiple client deployments. (And after six months) Independently own key technical workstreams from concept to production readiness. Deliver maintainable, observable, and well-tested systems aligned with core architecture. Establish trusted relationships with clients through clear communication and steady delivery. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it). To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): For permanents: We create benefits with YOU in mind. We create benefits with YOU in mind: Flexible hybrid working model Medical from the 1st of the following month of your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Mental Health First Aiders THE PROCESS Long interview processes are stressful and boring and that is not us! We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A Zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive. E-verify: Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$260,000 USD
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the Role JLL is rolling out AI agents directly into HR: recruiting, employee services, HR operations, benefits, payroll and the systems that run them. You will own a specific HR tower as a part of a 1-2 member engineering team. The Center of Excellence in our central AI team gives you the methodology, the platform, and the patterns; HR gives you the problems, the SMEs, and the appetite for change. Your job is to turn that into shipped agents and MCP integrations, then hand the mature apps off to other engineers as it stabilizes. We expect engineers at this level to operate with AI tools as a primary part of their workflow. Your leverage comes from the hooks, skills, workflows, and automations you install to ship safely to production. The leverage in this role is AI, not headcount. What You'll Do • Build and ship agents for HR, in close partnership with HR SMEs and operators. • Stand up MCP servers and connectors: pre-production first, then through CDR (Critical Design Review) into production. • Bootstrap skills, integrations, and evals on top of JLL's AI platform (LLM gateway, shared RAG services, MCP toolchain). • Run workshops with HR teams and translate their workflows into agent skills. • Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence, so the next FDE moves faster. Must Have Experience •Shipped production agents using Claude Agent SDK, MCP, or equivalent stack. •Production code in at least one of Python, Node, or .NET, with comfort moving across the others. •Full stack engineering across the whole application: modern frontend (React, Angular, or equivalent with TypeScript/JavaScript), backend services and REST APIs, authentication and authorization (OAuth, SSO, JWT), and automated testing (unit, integration, end-to-end). •Cloud experience deploying and operating production workloads on AWS, Azure, or GCP: compute (serverless or containers), managed databases, storage, secrets management, networking basics, and monitoring and logging. •CI/CD and DevOps: building and maintaining automated build, test, and deploy pipelines (for example GitHub Actions, Azure DevOps, or equivalent), containerization with Docker, and infrastructure as code (Terraform, CloudFormation, Bicep, or equivalent). •Worked with diverse data stores: relational, NoSQL, object/blob, vector, and document. •Operated end-to-end as a one-person team: design, ship, support, hand off. Nice to Have • Knowledge of Workday or other HR systems is a plus. Traits • Strong written and verbal communication; comfortable in the room with non-engineers. •Pragmatic judgment on when to ship, when to harden, and when to hand off. •Systems thinking with a focus on failure modes; AI writes most of the code, you own it. •Comfort with tasking and ability to run multiple agents in parallel as part of daily workflow. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Expected compensation for this position: 162 300.00 USD per year Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Chicago, IL If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
11/10/2026
Full time
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the Role JLL is rolling out AI agents directly into HR: recruiting, employee services, HR operations, benefits, payroll and the systems that run them. You will own a specific HR tower as a part of a 1-2 member engineering team. The Center of Excellence in our central AI team gives you the methodology, the platform, and the patterns; HR gives you the problems, the SMEs, and the appetite for change. Your job is to turn that into shipped agents and MCP integrations, then hand the mature apps off to other engineers as it stabilizes. We expect engineers at this level to operate with AI tools as a primary part of their workflow. Your leverage comes from the hooks, skills, workflows, and automations you install to ship safely to production. The leverage in this role is AI, not headcount. What You'll Do • Build and ship agents for HR, in close partnership with HR SMEs and operators. • Stand up MCP servers and connectors: pre-production first, then through CDR (Critical Design Review) into production. • Bootstrap skills, integrations, and evals on top of JLL's AI platform (LLM gateway, shared RAG services, MCP toolchain). • Run workshops with HR teams and translate their workflows into agent skills. • Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence, so the next FDE moves faster. Must Have Experience •Shipped production agents using Claude Agent SDK, MCP, or equivalent stack. •Production code in at least one of Python, Node, or .NET, with comfort moving across the others. •Full stack engineering across the whole application: modern frontend (React, Angular, or equivalent with TypeScript/JavaScript), backend services and REST APIs, authentication and authorization (OAuth, SSO, JWT), and automated testing (unit, integration, end-to-end). •Cloud experience deploying and operating production workloads on AWS, Azure, or GCP: compute (serverless or containers), managed databases, storage, secrets management, networking basics, and monitoring and logging. •CI/CD and DevOps: building and maintaining automated build, test, and deploy pipelines (for example GitHub Actions, Azure DevOps, or equivalent), containerization with Docker, and infrastructure as code (Terraform, CloudFormation, Bicep, or equivalent). •Worked with diverse data stores: relational, NoSQL, object/blob, vector, and document. •Operated end-to-end as a one-person team: design, ship, support, hand off. Nice to Have • Knowledge of Workday or other HR systems is a plus. Traits • Strong written and verbal communication; comfortable in the room with non-engineers. •Pragmatic judgment on when to ship, when to harden, and when to hand off. •Systems thinking with a focus on failure modes; AI writes most of the code, you own it. •Comfort with tasking and ability to run multiple agents in parallel as part of daily workflow. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Expected compensation for this position: 162 300.00 USD per year Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Chicago, IL If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high performing team committed to technical excellence, you'll help shape the modern cybersecurity capabilities that drive a more reliable, safe, and profitable airline. The Platform Security product group delivers comprehensive solutions, processes, and platforms that embed and monitor security across Cloud, Application, Endpoint / End User, Data, and AI domains. In this portfolio, you'll help strengthen the safeguards that protect our systems, data, and people through consistent, scalable practices and deliver solutions that secure one of the world's most complex global operations. The Sr. Manager - Data Protection and Privacy Technology will own and lead the strategy, roadmap, engineering, and continuous improvement of American Airlines' Data Protection and Privacy Technology program. In this role, you'll advance core capabilities including data security engineering and protection, privacy engineering and assurance, data classification, retention, and access governance while guiding talented global teams. You'll work closely with Cybersecurity, Privacy Office, Enterprise Data, Legal, and Procurement to build scalable, modern controls that protect American Airlines' most critical information assets. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Own and lead the enterprise Data Protection and Privacy Technology strategy and roadmap, ensuring modern controls (classification, encryption, access governance, DLP, masking, AI/ML safeguards) are built, deployed, and continuously improved. Develop a deep understanding of enterprise data flows, championing secure data handling practices and shared accountability, while ensuring data protection and privacy decisions align with business priorities and technology strategies. Balance data protection, privacy, and business objectives, while guiding decisions that reflect the organization's risk appetite and operational realities with little/no direction from business/portfolio leadership. Provide oversight and direction for the Data Protection and Privacy Technology products' capabilities, programs, services and engagement model. Govern adherence to policies and standards. Own, enhance, and drive the global operating model. Translate complex data protection and privacy requirements into clear, actionable guidance for senior leaders, technology teams, and business partners. Shape how data protection and privacy controls are integrated into new technology development, ensuring risks are mitigated early and effectively. Serve as the bridge between engineering, cybersecurity, privacy, and business teams to embed data protection and privacy by design into platforms, applications, and AI solutions. Evaluate the effectiveness of data protection and privacy technologies using KPIs, telemetry, and operational metrics to guide maturity, automation, and risk reduction. Conduct and oversee data protection and privacy by design risk assessments, product evaluations, compliance checks, and audits to meet regulatory requirements. Oversee coordination with appropriate teams during data protection and privacy incidents, ensuring accurate reporting, communication, and follow through. Drive data protection and privacy awareness programs that strengthen end user understanding of data protection responsibilities and emerging threats. Act as the primary point of contact between business/portfolio executive leadership and product teams to engage executive leadership and communicate the progress of Data Protection and Privacy Technology programs and services. Build and lead professional, creative, and collaborative global teams of data protection engineers, privacy engineers, and analysts, cultivating technical excellence, continuous learning, and innovation. Oversee a team of up to 50 team members with multiple squads. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field 8+ years of progressive experience in cybersecurity, data protection, privacy engineering, or information security. 3+ years of experience leading technical teams in a large enterprise environment. Prior experience driving large scale security or privacy technology initiatives from strategy through execution. Demonstrated ability to collaborate across cybersecurity, legal, data, product, and engineering teams to embed privacy and security into systems and workflows. Exhibit advanced ability to communicate data protection and privacy concepts clearly to non technical audiences, translating complex requirements into practical guidance. Preferred Qualifications- Education & Prior Job Experience Master's degree in computer science, Cybersecurity, Engineering, Information Assurance, or a related technical field. 12+ years of experience in cybersecurity, privacy engineering, data protection, or information security. 5+ years of leadership or management experience overseeing technical teams and driving enterprise level initiatives. Experience leading data protection or privacy engineering programs and teams in highly regulated industries (e.g., aviation, financial services, healthcare). Skills, Licenses & Certifications Knowledge of data protection industry practices and global privacy regulations (GDPR, CCPA/CPRA, PCI, etc.) and ability to translate them into technical controls aligned with industry frameworks such as NIST CSF/PRMF and ISO/IEC 27001/27701. Strong understanding of data security and privacy engineering, secure data lifecycle practices, and access control models. Familiarity with cybersecurity or privacy-related risk assessment methodologies and frameworks. Professional certifications such as CISSP, CIPP/E, CIPP/US, CIPT, CDPSE, CCSP, or equivalent privacy/security credentials. Demonstrated ability to deliver prioritized outcomes using agile and product management principles. Experience in implementing and managing data protection and privacy technologies (e.g., DLP, data discovery/classification, encryption/tokenization, access governance, cloud data security, data and code scanning tools, DSAR/rights automation platforms, consent and preference management tools). Experience using KPIs, operational telemetry, and maturity metrics to assess the effectiveness of data protection and privacy by design controls. Demonstrated leadership, communication, and relationship building skills with the ability to influence stakeholders at all levels. Excellent analytical and problem-solving abilities with keen attention to detail. Solution oriented, can define various pragmatic alternatives leading to appropriate Cybersecurity outcomes. Ability to work independently with a high degree of initiative. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders . click apply for full job details
11/10/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high performing team committed to technical excellence, you'll help shape the modern cybersecurity capabilities that drive a more reliable, safe, and profitable airline. The Platform Security product group delivers comprehensive solutions, processes, and platforms that embed and monitor security across Cloud, Application, Endpoint / End User, Data, and AI domains. In this portfolio, you'll help strengthen the safeguards that protect our systems, data, and people through consistent, scalable practices and deliver solutions that secure one of the world's most complex global operations. The Sr. Manager - Data Protection and Privacy Technology will own and lead the strategy, roadmap, engineering, and continuous improvement of American Airlines' Data Protection and Privacy Technology program. In this role, you'll advance core capabilities including data security engineering and protection, privacy engineering and assurance, data classification, retention, and access governance while guiding talented global teams. You'll work closely with Cybersecurity, Privacy Office, Enterprise Data, Legal, and Procurement to build scalable, modern controls that protect American Airlines' most critical information assets. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Own and lead the enterprise Data Protection and Privacy Technology strategy and roadmap, ensuring modern controls (classification, encryption, access governance, DLP, masking, AI/ML safeguards) are built, deployed, and continuously improved. Develop a deep understanding of enterprise data flows, championing secure data handling practices and shared accountability, while ensuring data protection and privacy decisions align with business priorities and technology strategies. Balance data protection, privacy, and business objectives, while guiding decisions that reflect the organization's risk appetite and operational realities with little/no direction from business/portfolio leadership. Provide oversight and direction for the Data Protection and Privacy Technology products' capabilities, programs, services and engagement model. Govern adherence to policies and standards. Own, enhance, and drive the global operating model. Translate complex data protection and privacy requirements into clear, actionable guidance for senior leaders, technology teams, and business partners. Shape how data protection and privacy controls are integrated into new technology development, ensuring risks are mitigated early and effectively. Serve as the bridge between engineering, cybersecurity, privacy, and business teams to embed data protection and privacy by design into platforms, applications, and AI solutions. Evaluate the effectiveness of data protection and privacy technologies using KPIs, telemetry, and operational metrics to guide maturity, automation, and risk reduction. Conduct and oversee data protection and privacy by design risk assessments, product evaluations, compliance checks, and audits to meet regulatory requirements. Oversee coordination with appropriate teams during data protection and privacy incidents, ensuring accurate reporting, communication, and follow through. Drive data protection and privacy awareness programs that strengthen end user understanding of data protection responsibilities and emerging threats. Act as the primary point of contact between business/portfolio executive leadership and product teams to engage executive leadership and communicate the progress of Data Protection and Privacy Technology programs and services. Build and lead professional, creative, and collaborative global teams of data protection engineers, privacy engineers, and analysts, cultivating technical excellence, continuous learning, and innovation. Oversee a team of up to 50 team members with multiple squads. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field 8+ years of progressive experience in cybersecurity, data protection, privacy engineering, or information security. 3+ years of experience leading technical teams in a large enterprise environment. Prior experience driving large scale security or privacy technology initiatives from strategy through execution. Demonstrated ability to collaborate across cybersecurity, legal, data, product, and engineering teams to embed privacy and security into systems and workflows. Exhibit advanced ability to communicate data protection and privacy concepts clearly to non technical audiences, translating complex requirements into practical guidance. Preferred Qualifications- Education & Prior Job Experience Master's degree in computer science, Cybersecurity, Engineering, Information Assurance, or a related technical field. 12+ years of experience in cybersecurity, privacy engineering, data protection, or information security. 5+ years of leadership or management experience overseeing technical teams and driving enterprise level initiatives. Experience leading data protection or privacy engineering programs and teams in highly regulated industries (e.g., aviation, financial services, healthcare). Skills, Licenses & Certifications Knowledge of data protection industry practices and global privacy regulations (GDPR, CCPA/CPRA, PCI, etc.) and ability to translate them into technical controls aligned with industry frameworks such as NIST CSF/PRMF and ISO/IEC 27001/27701. Strong understanding of data security and privacy engineering, secure data lifecycle practices, and access control models. Familiarity with cybersecurity or privacy-related risk assessment methodologies and frameworks. Professional certifications such as CISSP, CIPP/E, CIPP/US, CIPT, CDPSE, CCSP, or equivalent privacy/security credentials. Demonstrated ability to deliver prioritized outcomes using agile and product management principles. Experience in implementing and managing data protection and privacy technologies (e.g., DLP, data discovery/classification, encryption/tokenization, access governance, cloud data security, data and code scanning tools, DSAR/rights automation platforms, consent and preference management tools). Experience using KPIs, operational telemetry, and maturity metrics to assess the effectiveness of data protection and privacy by design controls. Demonstrated leadership, communication, and relationship building skills with the ability to influence stakeholders at all levels. Excellent analytical and problem-solving abilities with keen attention to detail. Solution oriented, can define various pragmatic alternatives leading to appropriate Cybersecurity outcomes. Ability to work independently with a high degree of initiative. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders . click apply for full job details
North Kansas City Hospital
North Kansas City, Missouri
SUMMARY: SUMMARY: Under the direction of the IT Infrastructure Supervisor, the Senior Cloud Infrastructure Engineers role is to engage as the technical lead to ensure the stability, integrity, and efficient operation of the Data Center and Cloud Infrastructure. This individual will assist in developing the long-term strategic technology roadmaps for NKC Health enterprise technology systems, cloud strategies and migration, data backups and restoration, Business Continuity/Disaster Recovery (BC/DR)and other duties as assigned. This role will research and recommend new technologies to increase the financial and operational strategic goals at NKC Health and provide Subject Matter Expertise in a broad range of technology deployed throughout the health system.term strategic technology roadmaps for NKC Health enterprise technology systems, cloud strategies and migration, data backups and restoration, Business Continuity/Disaster Recovery (BC/DR)and other duties as assigned. This role will research and recommend new technologies to increase the financial and operational strategic goals at NKC Health and provide Subject Matter Expertise in a broad range of technology deployed throughout the health system. EXPERIENCE:At least 10 years of progressive IT infrastructure experience in a healthcare organization or large health system, supporting mission-critical, regulated clinical and business environments. Experience must include enterprise Windows Server, Active Directory, Entra ID, storage platforms, VMware virtualization, Microsoft 365 messaging and collaboration, business continuity, disaster recovery, ransomware protection, cyber resilience, and data center infrastructure. SPECIAL SKILLS Advanced skill in infrastructure architecture, lifecycle management, security hardening, high availability, replication, performance and capacity optimization, platform upgrades, governance, compliance, migration, recovery, and cloud integration across physical, virtual, hybrid, and cloud environments. Working knowledge of networking, power, cooling, and environmental systems is required. Experience with Pure, Nimble, and/or Dell EMC storage is preferred. LICENSE/CERT: OmnissaCertified Engineer Horizon (OCEH); Microsoft Azure Administrator Associate (AZ-104), Azure Solutions Architect Expert (AZ-305), Windows Server Hybrid Administrator Associate (AZ 800/801), Microsoft 365 Administrator Expert (MS 102); Broadcom/VMware VCP-VVF, VCP-VCF, orVCP-DCV;AWS Certified Solutions Architect Associate, CohesityProtection Associate Data Protect; Pure Storage Certified Administrator Flash Array(PSCAFA) orFlash Blade(PSCAFB); Red Hat Certified Engineer (RHCSE) EDUCATION: Required: Bachelors - Information Technology, Equivalent Experience - equivalent combination of professional certification job experience.
11/10/2026
Full time
SUMMARY: SUMMARY: Under the direction of the IT Infrastructure Supervisor, the Senior Cloud Infrastructure Engineers role is to engage as the technical lead to ensure the stability, integrity, and efficient operation of the Data Center and Cloud Infrastructure. This individual will assist in developing the long-term strategic technology roadmaps for NKC Health enterprise technology systems, cloud strategies and migration, data backups and restoration, Business Continuity/Disaster Recovery (BC/DR)and other duties as assigned. This role will research and recommend new technologies to increase the financial and operational strategic goals at NKC Health and provide Subject Matter Expertise in a broad range of technology deployed throughout the health system.term strategic technology roadmaps for NKC Health enterprise technology systems, cloud strategies and migration, data backups and restoration, Business Continuity/Disaster Recovery (BC/DR)and other duties as assigned. This role will research and recommend new technologies to increase the financial and operational strategic goals at NKC Health and provide Subject Matter Expertise in a broad range of technology deployed throughout the health system. EXPERIENCE:At least 10 years of progressive IT infrastructure experience in a healthcare organization or large health system, supporting mission-critical, regulated clinical and business environments. Experience must include enterprise Windows Server, Active Directory, Entra ID, storage platforms, VMware virtualization, Microsoft 365 messaging and collaboration, business continuity, disaster recovery, ransomware protection, cyber resilience, and data center infrastructure. SPECIAL SKILLS Advanced skill in infrastructure architecture, lifecycle management, security hardening, high availability, replication, performance and capacity optimization, platform upgrades, governance, compliance, migration, recovery, and cloud integration across physical, virtual, hybrid, and cloud environments. Working knowledge of networking, power, cooling, and environmental systems is required. Experience with Pure, Nimble, and/or Dell EMC storage is preferred. LICENSE/CERT: OmnissaCertified Engineer Horizon (OCEH); Microsoft Azure Administrator Associate (AZ-104), Azure Solutions Architect Expert (AZ-305), Windows Server Hybrid Administrator Associate (AZ 800/801), Microsoft 365 Administrator Expert (MS 102); Broadcom/VMware VCP-VVF, VCP-VCF, orVCP-DCV;AWS Certified Solutions Architect Associate, CohesityProtection Associate Data Protect; Pure Storage Certified Administrator Flash Array(PSCAFA) orFlash Blade(PSCAFB); Red Hat Certified Engineer (RHCSE) EDUCATION: Required: Bachelors - Information Technology, Equivalent Experience - equivalent combination of professional certification job experience.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join NetApp's Cloud Platforms organization and help build the next generation of cloud-native infrastructure, software-defined storage, and virtualization platforms powering enterprise-scale data management solutions across AWS, Azure, GCP, and OCI. We are looking for a highly skilled Senior Software Development Engineer with deep expertise in Linux systems, distributed storage, virtualization technologies, and cloud infrastructure platforms. In this role, you will contribute to sizable portions of the product across multiple technical areas including software-defined storage, virtualization infrastructure, Linux systems software, and cloud-native distributed services. You will work on complex engineering problems requiring advanced technical judgment, systems thinking, and cross-functional collaboration. This role requires the ability to independently drive technical execution, proactively resolve blockers, and influence engineering outcomes across teams. As part of NetApp's Research and Development organization, you will collaborate with cloud providers and engineering teams to design scalable, secure, and highly performant infrastructure capabilities that support NetApp's cloud storage and data management offerings. Job Requirements Design, develop, and optimize components across the software-defined storage and virtualization stack, including storage services, virtual networking, Linux system services, and distributed infrastructure components. Contribute to sizable portions of the product across multiple technical areas and projects involving storage, networking, virtualization, and cloud infrastructure. Develop and maintain Linux user-space and kernel-space software related to storage subsystems, networking stacks, virtualization, and infrastructure services. Work with virtualization technologies including KVM/QEMU, libvirt, virtio, virtual networking, and storage virtualization frameworks. Debug and resolve complex system-level issues involving compute, storage, networking, virtualization, and distributed systems interactions. Apply advanced technical knowledge and judgment to evaluate architectural tradeoffs, scalability considerations, and operational reliability. Drive technical solutions independently while proactively identifying risks, dependencies, and escalation points. Collaborate cross-functionally with engineering, product, support, and cloud partner teams to deliver robust infrastructure capabilities. Mentor junior engineers, participate in code and design reviews, and contribute to engineering best practices. Participate in all phases of the product lifecycle including architecture, implementation, testing, deployment, operational support, and customer issue resolution. Education 8+ years of experience in systems software engineering, cloud infrastructure, distributed systems, or storage platform development. Strong programming expertise in C/C++ and Python. Deep understanding of operating systems internals, concurrency, memory management, performance optimization, and systems-level debugging. Hands-on experience with software-defined storage systems, distributed storage platforms, or enterprise infrastructure software. Strong experience with virtualization technologies including KVM/QEMU, libvirt, virtio, and virtualized networking/storage infrastructure. Experience developing or troubleshooting storage and networking subsystems, kernel modules, or device drivers. Strong knowledge of storage technologies and protocols such as NVMe, iSCSI, NFS, SMB/CIFS, S3, or distributed block/object/file storage systems. Hands-on operational experience with AWS, Azure, GCP, or OCI infrastructure environments. Experience with CI/CD systems, automation frameworks, observability, and infrastructure-as-code tools. Strong analytical, debugging, and performance tuning skills. Excellent communication and collaboration skills with the ability to influence technical discussions across teams. Ability to independently resolve most technical blockers while escalating major risks proactively. Preferred Qualifications: Experience with enterprise-scale storage operating systems such as ONTAP or similar platforms Experience leading subsystem development or technically complex cross-functional projects. Familiarity with cloud-native virtualization and infrastructure orchestration platforms. Experience with scalability engineering, reliability engineering, and operational excellence initiatives. Advanced cloud certifications or equivalent industry experience. Compensation: The target salary range for this position is 170,000 - 253,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/10/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join NetApp's Cloud Platforms organization and help build the next generation of cloud-native infrastructure, software-defined storage, and virtualization platforms powering enterprise-scale data management solutions across AWS, Azure, GCP, and OCI. We are looking for a highly skilled Senior Software Development Engineer with deep expertise in Linux systems, distributed storage, virtualization technologies, and cloud infrastructure platforms. In this role, you will contribute to sizable portions of the product across multiple technical areas including software-defined storage, virtualization infrastructure, Linux systems software, and cloud-native distributed services. You will work on complex engineering problems requiring advanced technical judgment, systems thinking, and cross-functional collaboration. This role requires the ability to independently drive technical execution, proactively resolve blockers, and influence engineering outcomes across teams. As part of NetApp's Research and Development organization, you will collaborate with cloud providers and engineering teams to design scalable, secure, and highly performant infrastructure capabilities that support NetApp's cloud storage and data management offerings. Job Requirements Design, develop, and optimize components across the software-defined storage and virtualization stack, including storage services, virtual networking, Linux system services, and distributed infrastructure components. Contribute to sizable portions of the product across multiple technical areas and projects involving storage, networking, virtualization, and cloud infrastructure. Develop and maintain Linux user-space and kernel-space software related to storage subsystems, networking stacks, virtualization, and infrastructure services. Work with virtualization technologies including KVM/QEMU, libvirt, virtio, virtual networking, and storage virtualization frameworks. Debug and resolve complex system-level issues involving compute, storage, networking, virtualization, and distributed systems interactions. Apply advanced technical knowledge and judgment to evaluate architectural tradeoffs, scalability considerations, and operational reliability. Drive technical solutions independently while proactively identifying risks, dependencies, and escalation points. Collaborate cross-functionally with engineering, product, support, and cloud partner teams to deliver robust infrastructure capabilities. Mentor junior engineers, participate in code and design reviews, and contribute to engineering best practices. Participate in all phases of the product lifecycle including architecture, implementation, testing, deployment, operational support, and customer issue resolution. Education 8+ years of experience in systems software engineering, cloud infrastructure, distributed systems, or storage platform development. Strong programming expertise in C/C++ and Python. Deep understanding of operating systems internals, concurrency, memory management, performance optimization, and systems-level debugging. Hands-on experience with software-defined storage systems, distributed storage platforms, or enterprise infrastructure software. Strong experience with virtualization technologies including KVM/QEMU, libvirt, virtio, and virtualized networking/storage infrastructure. Experience developing or troubleshooting storage and networking subsystems, kernel modules, or device drivers. Strong knowledge of storage technologies and protocols such as NVMe, iSCSI, NFS, SMB/CIFS, S3, or distributed block/object/file storage systems. Hands-on operational experience with AWS, Azure, GCP, or OCI infrastructure environments. Experience with CI/CD systems, automation frameworks, observability, and infrastructure-as-code tools. Strong analytical, debugging, and performance tuning skills. Excellent communication and collaboration skills with the ability to influence technical discussions across teams. Ability to independently resolve most technical blockers while escalating major risks proactively. Preferred Qualifications: Experience with enterprise-scale storage operating systems such as ONTAP or similar platforms Experience leading subsystem development or technically complex cross-functional projects. Familiarity with cloud-native virtualization and infrastructure orchestration platforms. Experience with scalability engineering, reliability engineering, and operational excellence initiatives. Advanced cloud certifications or equivalent industry experience. Compensation: The target salary range for this position is 170,000 - 253,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
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 to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
11/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 Director, AI Strategy Architect to join our Advisory Services practice. Responsibilities: Lead end-to-end AI solution development or transformation programs using cloud AI services, enhancing customer experience, operational efficiency, and decision-making across various industries Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and roadmaps while positioning KPMG's AI solutions as strategic enablers of business objectives Oversee the design, architecture, and delivery of multi-agent conversational AI systems and automation solutions, ensuring seamless integration, quality, scalability, and security within enterprise workflows Drive business development to expand KPMG's AI portfolio by identifying market opportunities, developing proposals, and securing new client engagements, while fostering strategic alliances Manage and mentor cross-functional teams, promoting a high-performance culture, technical excellence, and career development, ensuring the team stays at the forefront of AI and cloud engineering technology advancements Work closely with our Microsoft, Google, Salesforce, and other related platform teams to develop our AI capabilities and offerings within the relevant ecosystems Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the latest AI advancements and innovations, fostering a culture of innovation, and ensuring alignment with KPMG's digital strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices Travel as needed 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: 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.
11/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Director, AI Strategy Architect to join our Advisory Services practice. Responsibilities: Lead end-to-end AI solution development or transformation programs using cloud AI services, enhancing customer experience, operational efficiency, and decision-making across various industries Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and roadmaps while positioning KPMG's AI solutions as strategic enablers of business objectives Oversee the design, architecture, and delivery of multi-agent conversational AI systems and automation solutions, ensuring seamless integration, quality, scalability, and security within enterprise workflows Drive business development to expand KPMG's AI portfolio by identifying market opportunities, developing proposals, and securing new client engagements, while fostering strategic alliances Manage and mentor cross-functional teams, promoting a high-performance culture, technical excellence, and career development, ensuring the team stays at the forefront of AI and cloud engineering technology advancements Work closely with our Microsoft, Google, Salesforce, and other related platform teams to develop our AI capabilities and offerings within the relevant ecosystems Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the latest AI advancements and innovations, fostering a culture of innovation, and ensuring alignment with KPMG's digital strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices Travel as needed 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: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Associate in Technology for our Consulting practice. Responsibilities Design and develop scalable Salesforce solutions, with a focus on Health Cloud features such as care plans, clinical data models, and provider/patient relationship management, and configure Health Cloud data models including Patient, Provider, Care Team, and Clinical Data Build Apex classes, triggers, LWC (Lightning Web Components), and Flows to meet business requirements, and participate in code reviews, testing, and deployment activities using CI/CD pipelines Design and configure Agentforce agents, topics, instructions, actions, and escalation paths using Agentforce Builder, Flow, Apex, and APIs, and develop and test Prompt Builder templates and grounded AI experiences using Salesforce data, Data Cloud, knowledge, and retrieval-augmented generation (RAG) patterns Implement agent testing, evaluation, observability, and guardrails, including accuracy, hallucination risk, data access, human-in-the-loop controls, and production monitoring Integrate Salesforce with external systems (e.g., Epic, Genesys, MuleSoft, HL7/FHIR APIs) using REST/SOAP web services, and ensure compliance with HIPAA, HITRUST, and other healthcare data security regulations Collaborate with business analysts, administrators, and architects to translate requirements into technical solutions, and contribute to Salesforce release management, performance tuning, and environment strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum of three years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers Bachelor's degree from an accredited College or University is required; Salesforce Certified Platform Developer I and Salesforce Certified Agentforce Specialist are required. Platform Developer II, Health Cloud Accredited Professional, Data Cloud Consultant, or Agentforce Life Sciences Consultant are preferred Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred) Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming), and experience with Version Control (Git), CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.) Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required; experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling), and experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors), enterprise AI/ML services or external models, Agile/Scrum methodologies, strong problem-solving, communication, and stakeholder management skills preferred Travel as required to support client engagements, team collaboration, and business development activities 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: $118275 - $212865 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.
11/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Associate in Technology for our Consulting practice. Responsibilities Design and develop scalable Salesforce solutions, with a focus on Health Cloud features such as care plans, clinical data models, and provider/patient relationship management, and configure Health Cloud data models including Patient, Provider, Care Team, and Clinical Data Build Apex classes, triggers, LWC (Lightning Web Components), and Flows to meet business requirements, and participate in code reviews, testing, and deployment activities using CI/CD pipelines Design and configure Agentforce agents, topics, instructions, actions, and escalation paths using Agentforce Builder, Flow, Apex, and APIs, and develop and test Prompt Builder templates and grounded AI experiences using Salesforce data, Data Cloud, knowledge, and retrieval-augmented generation (RAG) patterns Implement agent testing, evaluation, observability, and guardrails, including accuracy, hallucination risk, data access, human-in-the-loop controls, and production monitoring Integrate Salesforce with external systems (e.g., Epic, Genesys, MuleSoft, HL7/FHIR APIs) using REST/SOAP web services, and ensure compliance with HIPAA, HITRUST, and other healthcare data security regulations Collaborate with business analysts, administrators, and architects to translate requirements into technical solutions, and contribute to Salesforce release management, performance tuning, and environment strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum of three years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers Bachelor's degree from an accredited College or University is required; Salesforce Certified Platform Developer I and Salesforce Certified Agentforce Specialist are required. Platform Developer II, Health Cloud Accredited Professional, Data Cloud Consultant, or Agentforce Life Sciences Consultant are preferred Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred) Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming), and experience with Version Control (Git), CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.) Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required; experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling), and experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors), enterprise AI/ML services or external models, Agile/Scrum methodologies, strong problem-solving, communication, and stakeholder management skills preferred Travel as required to support client engagements, team collaboration, and business development activities 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: $118275 - $212865 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Associate in Technology for our Consulting practice. Responsibilities Design and develop scalable Salesforce solutions, with a focus on Health Cloud features such as care plans, clinical data models, and provider/patient relationship management, and configure Health Cloud data models including Patient, Provider, Care Team, and Clinical Data Build Apex classes, triggers, LWC (Lightning Web Components), and Flows to meet business requirements, and participate in code reviews, testing, and deployment activities using CI/CD pipelines Design and configure Agentforce agents, topics, instructions, actions, and escalation paths using Agentforce Builder, Flow, Apex, and APIs, and develop and test Prompt Builder templates and grounded AI experiences using Salesforce data, Data Cloud, knowledge, and retrieval-augmented generation (RAG) patterns Implement agent testing, evaluation, observability, and guardrails, including accuracy, hallucination risk, data access, human-in-the-loop controls, and production monitoring Integrate Salesforce with external systems (e.g., Epic, Genesys, MuleSoft, HL7/FHIR APIs) using REST/SOAP web services, and ensure compliance with HIPAA, HITRUST, and other healthcare data security regulations Collaborate with business analysts, administrators, and architects to translate requirements into technical solutions, and contribute to Salesforce release management, performance tuning, and environment strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum of three years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers Bachelor's degree from an accredited College or University is required; Salesforce Certified Platform Developer I and Salesforce Certified Agentforce Specialist are required. Platform Developer II, Health Cloud Accredited Professional, Data Cloud Consultant, or Agentforce Life Sciences Consultant are preferred Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred) Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming), and experience with Version Control (Git), CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.) Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required; experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling), and experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors), enterprise AI/ML services or external models, Agile/Scrum methodologies, strong problem-solving, communication, and stakeholder management skills preferred Travel as required to support client engagements, team collaboration, and business development activities 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: $118275 - $212865 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.
11/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Associate in Technology for our Consulting practice. Responsibilities Design and develop scalable Salesforce solutions, with a focus on Health Cloud features such as care plans, clinical data models, and provider/patient relationship management, and configure Health Cloud data models including Patient, Provider, Care Team, and Clinical Data Build Apex classes, triggers, LWC (Lightning Web Components), and Flows to meet business requirements, and participate in code reviews, testing, and deployment activities using CI/CD pipelines Design and configure Agentforce agents, topics, instructions, actions, and escalation paths using Agentforce Builder, Flow, Apex, and APIs, and develop and test Prompt Builder templates and grounded AI experiences using Salesforce data, Data Cloud, knowledge, and retrieval-augmented generation (RAG) patterns Implement agent testing, evaluation, observability, and guardrails, including accuracy, hallucination risk, data access, human-in-the-loop controls, and production monitoring Integrate Salesforce with external systems (e.g., Epic, Genesys, MuleSoft, HL7/FHIR APIs) using REST/SOAP web services, and ensure compliance with HIPAA, HITRUST, and other healthcare data security regulations Collaborate with business analysts, administrators, and architects to translate requirements into technical solutions, and contribute to Salesforce release management, performance tuning, and environment strategy Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum of three years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers Bachelor's degree from an accredited College or University is required; Salesforce Certified Platform Developer I and Salesforce Certified Agentforce Specialist are required. Platform Developer II, Health Cloud Accredited Professional, Data Cloud Consultant, or Agentforce Life Sciences Consultant are preferred Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred) Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming), and experience with Version Control (Git), CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.) Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required; experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling), and experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors), enterprise AI/ML services or external models, Agile/Scrum methodologies, strong problem-solving, communication, and stakeholder management skills preferred Travel as required to support client engagements, team collaboration, and business development activities 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: $118275 - $212865 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.
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations . click apply for full job details
11/10/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations . click apply for full job details
Job Description Job Description Job Title: Application Architect Location: Bethesda, MD Type: Permanent salaried position Compensation: 170- 190K Contractor Work Model: Hybrid (2 to 3 days on site in Bethesda MD) The Senior Application Architect is responsible for developing and evolving application-layer architecture following the Agile Software Development Life Cycle. This role shapes the technical direction of the business applications by defining application design, domain models, REST API strategy, integration patterns, and code-level standards to ensure systems are scalable, secure, maintainable, and aligned with business strategy. This position is not an infrastructure or cloud platform architect role. While the Senior Application Architect partners closely with cloud, operations, data, and cybersecurity teams, the primary accountability is for application architecture and application design decisions, including ownership of RESTful services and application integration strategy from concept through implementation and long-term evolution. The Senior Application Architect works closely with engineering teams, product owners, operations, and security to design and guide the implementation of modern, reliable, and well-integrated application solutions. Responsibilities: • Own the end-to-end application architecture for key business systems, including domain modeling, application decomposition, service boundaries, and integration patterns. • Define and own API strategy, including RESTful API design standards, documentation, versioning, lifecycle management, and governance. • Design and govern REST APIs and service contracts that enable reuse, scalability, and consistent integration across internal applications and external partners. • Strong hands-on experience in .NET, C#, ASP.NET, SQL Server, REST APIs, domain modeling, and database schema design for enterprise applications. • Collaborate with business and technical stakeholders to translate strategic objectives and functional needs into application architecture, REST API designs, and implementation approaches. • Develop and maintain technical and business feature roadmaps in consultation with stakeholders; identify risks, track progress, and communicate status updates to project sponsors. • Lead the design and implementation of scalable, secure, and resilient enterprise application architectures, with a focus on maintainability, extensibility, and performance. • Define and enforce application architecture standards, design patterns, and coding guidelines to ensure consistency and interoperability across development teams. • Design and document software architectures using diagrams and models that guide development and support long-term system sustainability. • Review application and API implementations to ensure adherence to architectural intent, clean code principles, and design patterns. • Lead application modernization and refactoring efforts, including decomposition of legacy systems into modular or service-aligned architectures. • Evaluate emerging technologies-including AI, ML, and application integration frameworks-through proofs of concept and pilot implementations, focusing on application-level feasibility and business value. • Architect, prototype, and build hands-on components of AI-enabled application capabilities, such as generative AI. • Partner with data engineering teams to design application-aligned data access patterns, pipelines, and governance supporting analytics and machine learning initiatives. • Engage directly in complex solution development when needed, contributing application code, prototypes, and architectural exemplars. • Integrate security, privacy, and compliance requirements into application and API design in alignment with governance standards. • Engineer applications and APIs for reliability, scalability, and performance by proactively identifying and resolving architectural bottlenecks. • Mentor developers and other architects, fostering a culture of hands-on learning, strong design discipline, and technical excellence. • Lead vendor and product evaluations from an application and API architecture perspective, assessing extensibility, integration capability, and alignment with application roadmap. Requirements: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; advanced degree preferred • Typically requires 10+ years of experience in software design and development, including at least 5 years of architecting enterprise-level applications • Demonstrated experience designing and evolving application architecture, rather than primarily infrastructure, cloud, or data architecture • Proven experience defining and implementing RESTful API strategies, including API design, versioning, documentation, security, and governance • Experience making architectural decisions across application layers, including UI, backend services, REST APIs, and data access • Skilled in database modeling, relationship design, and writing queries and stored procedures in support of application needs • Working knowledge of cloud platforms and DevOps practices as they relate to application deployment and runtime concerns; this role does not own cloud infrastructure architecture • Experience working in Agile delivery environments, collaborating across teams to deliver iterative, high-quality application solutions • Strong understanding of application security and enterprise architecture, supported by hands-on leadership in large-scale application and API design • Experience collaborating with data engineering teams to support application-driven analytics and data initiatives • Excellent analytical, communication, and problem-solving skills, with the ability to lead through influence and adapt to evolving priorities • Enterprise Architecture certification preferred • Insurance or risk management industry experience a plus System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
11/10/2026
Full time
Job Description Job Description Job Title: Application Architect Location: Bethesda, MD Type: Permanent salaried position Compensation: 170- 190K Contractor Work Model: Hybrid (2 to 3 days on site in Bethesda MD) The Senior Application Architect is responsible for developing and evolving application-layer architecture following the Agile Software Development Life Cycle. This role shapes the technical direction of the business applications by defining application design, domain models, REST API strategy, integration patterns, and code-level standards to ensure systems are scalable, secure, maintainable, and aligned with business strategy. This position is not an infrastructure or cloud platform architect role. While the Senior Application Architect partners closely with cloud, operations, data, and cybersecurity teams, the primary accountability is for application architecture and application design decisions, including ownership of RESTful services and application integration strategy from concept through implementation and long-term evolution. The Senior Application Architect works closely with engineering teams, product owners, operations, and security to design and guide the implementation of modern, reliable, and well-integrated application solutions. Responsibilities: • Own the end-to-end application architecture for key business systems, including domain modeling, application decomposition, service boundaries, and integration patterns. • Define and own API strategy, including RESTful API design standards, documentation, versioning, lifecycle management, and governance. • Design and govern REST APIs and service contracts that enable reuse, scalability, and consistent integration across internal applications and external partners. • Strong hands-on experience in .NET, C#, ASP.NET, SQL Server, REST APIs, domain modeling, and database schema design for enterprise applications. • Collaborate with business and technical stakeholders to translate strategic objectives and functional needs into application architecture, REST API designs, and implementation approaches. • Develop and maintain technical and business feature roadmaps in consultation with stakeholders; identify risks, track progress, and communicate status updates to project sponsors. • Lead the design and implementation of scalable, secure, and resilient enterprise application architectures, with a focus on maintainability, extensibility, and performance. • Define and enforce application architecture standards, design patterns, and coding guidelines to ensure consistency and interoperability across development teams. • Design and document software architectures using diagrams and models that guide development and support long-term system sustainability. • Review application and API implementations to ensure adherence to architectural intent, clean code principles, and design patterns. • Lead application modernization and refactoring efforts, including decomposition of legacy systems into modular or service-aligned architectures. • Evaluate emerging technologies-including AI, ML, and application integration frameworks-through proofs of concept and pilot implementations, focusing on application-level feasibility and business value. • Architect, prototype, and build hands-on components of AI-enabled application capabilities, such as generative AI. • Partner with data engineering teams to design application-aligned data access patterns, pipelines, and governance supporting analytics and machine learning initiatives. • Engage directly in complex solution development when needed, contributing application code, prototypes, and architectural exemplars. • Integrate security, privacy, and compliance requirements into application and API design in alignment with governance standards. • Engineer applications and APIs for reliability, scalability, and performance by proactively identifying and resolving architectural bottlenecks. • Mentor developers and other architects, fostering a culture of hands-on learning, strong design discipline, and technical excellence. • Lead vendor and product evaluations from an application and API architecture perspective, assessing extensibility, integration capability, and alignment with application roadmap. Requirements: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; advanced degree preferred • Typically requires 10+ years of experience in software design and development, including at least 5 years of architecting enterprise-level applications • Demonstrated experience designing and evolving application architecture, rather than primarily infrastructure, cloud, or data architecture • Proven experience defining and implementing RESTful API strategies, including API design, versioning, documentation, security, and governance • Experience making architectural decisions across application layers, including UI, backend services, REST APIs, and data access • Skilled in database modeling, relationship design, and writing queries and stored procedures in support of application needs • Working knowledge of cloud platforms and DevOps practices as they relate to application deployment and runtime concerns; this role does not own cloud infrastructure architecture • Experience working in Agile delivery environments, collaborating across teams to deliver iterative, high-quality application solutions • Strong understanding of application security and enterprise architecture, supported by hands-on leadership in large-scale application and API design • Experience collaborating with data engineering teams to support application-driven analytics and data initiatives • Excellent analytical, communication, and problem-solving skills, with the ability to lead through influence and adapt to evolving priorities • Enterprise Architecture certification preferred • Insurance or risk management industry experience a plus System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description Job Description Description: Are you looking to take the next step in your career as a Senior DevOps Engineer (Kubernetes/OpenShift)? Let's chat and see if we are a good match! Opportunity: Virtual Service Operations is searching for a Senior DevOps Engineer (Kubernetes/OpenShift) to build, maintain, and troubleshoot a Kubernetes-based environments end to end from cluster and storage administration through CI/CD, GitOps, and cloud infrastructure. You'll be the person teams turn to when something breaks anywhere in the stack, whether that's a pod, a pipeline, a PVC, or a networking issue, and you'll drive the root-cause analysis and documentation to fix it for good. Skills: Experience administering and troubleshooting Kubernetes-based environments, including OpenShift and/or RKE2 Strong understanding of Kubernetes resources, including Pods, Deployments, StatefulSets, Services, ConfigMaps, Secrets, Namespaces, and Jobs Experience managing and troubleshooting persistent storage, including PVs, PVCs, StorageClasses, and volume mounts Experience with Ansible, including development and maintenance of playbooks, roles, inventories, and automation workflows Experience with Terraform and Infrastructure as Code (IaC) Working knowledge of AWS, including EC2, IAM, S3, EBS, VPC/networking, CloudWatch, and associated infrastructure services Experience managing and troubleshooting cloud instances, storage, networking, and access controls Experience with Argo CD and GitOps-based deployment practices Familiarity with container technologies and container registries such as Harbor, Nexus, and Artifactory Experience with Apache Pulsar, including management or troubleshooting of topics and messaging resources Strong Linux system administration and troubleshooting skill Experience with Git and CI/CD tools such as GitLab CI/CD Understanding of Kubernetes/OpenShift RBAC, ServiceAccounts, secrets management, and security best practices Familiarity with monitoring, logging, and troubleshooting tools such as Prometheus, Grafana, OpenSearch/Elasticsearch, or similar platforms Strong understanding of networking fundamentals, including DNS, TCP/IP, ingress/egress, load balancing, and service connectivity Ability to troubleshoot complex issues across application, container, Kubernetes cluster, cloud infrastructure, storage, and networking layers Strong problem-solving skills with the ability to perform root cause analysis and document technical findings and resolutions Requirements: Must be willing to work on-site in Richardson, TX Active TS/SCI with CI Poly Please note that this specific position requires U.S. citizenship status This position requires assigned team members to comply with drug testing, at time of hire or at regular or random intervals. Employees who are chosen to fill this role are expected to comply with testing requirements. VSO will pay the costs of all drug and/or alcohol tests it requires of employees and applicants. VSO will comply with applicable federal, state, and local laws relating to the use of drug and alcohol testing for employment purposes What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone . We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO : VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at Compensation details: 00 Yearly Salary PI832559bc45b9-5465
11/10/2026
Full time
Job Description Job Description Description: Are you looking to take the next step in your career as a Senior DevOps Engineer (Kubernetes/OpenShift)? Let's chat and see if we are a good match! Opportunity: Virtual Service Operations is searching for a Senior DevOps Engineer (Kubernetes/OpenShift) to build, maintain, and troubleshoot a Kubernetes-based environments end to end from cluster and storage administration through CI/CD, GitOps, and cloud infrastructure. You'll be the person teams turn to when something breaks anywhere in the stack, whether that's a pod, a pipeline, a PVC, or a networking issue, and you'll drive the root-cause analysis and documentation to fix it for good. Skills: Experience administering and troubleshooting Kubernetes-based environments, including OpenShift and/or RKE2 Strong understanding of Kubernetes resources, including Pods, Deployments, StatefulSets, Services, ConfigMaps, Secrets, Namespaces, and Jobs Experience managing and troubleshooting persistent storage, including PVs, PVCs, StorageClasses, and volume mounts Experience with Ansible, including development and maintenance of playbooks, roles, inventories, and automation workflows Experience with Terraform and Infrastructure as Code (IaC) Working knowledge of AWS, including EC2, IAM, S3, EBS, VPC/networking, CloudWatch, and associated infrastructure services Experience managing and troubleshooting cloud instances, storage, networking, and access controls Experience with Argo CD and GitOps-based deployment practices Familiarity with container technologies and container registries such as Harbor, Nexus, and Artifactory Experience with Apache Pulsar, including management or troubleshooting of topics and messaging resources Strong Linux system administration and troubleshooting skill Experience with Git and CI/CD tools such as GitLab CI/CD Understanding of Kubernetes/OpenShift RBAC, ServiceAccounts, secrets management, and security best practices Familiarity with monitoring, logging, and troubleshooting tools such as Prometheus, Grafana, OpenSearch/Elasticsearch, or similar platforms Strong understanding of networking fundamentals, including DNS, TCP/IP, ingress/egress, load balancing, and service connectivity Ability to troubleshoot complex issues across application, container, Kubernetes cluster, cloud infrastructure, storage, and networking layers Strong problem-solving skills with the ability to perform root cause analysis and document technical findings and resolutions Requirements: Must be willing to work on-site in Richardson, TX Active TS/SCI with CI Poly Please note that this specific position requires U.S. citizenship status This position requires assigned team members to comply with drug testing, at time of hire or at regular or random intervals. Employees who are chosen to fill this role are expected to comply with testing requirements. VSO will pay the costs of all drug and/or alcohol tests it requires of employees and applicants. VSO will comply with applicable federal, state, and local laws relating to the use of drug and alcohol testing for employment purposes What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone . We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO : VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at Compensation details: 00 Yearly Salary PI832559bc45b9-5465
Leidos seeks a Senior AI Platform Engineer to build and accredit a secure agentic AI platform in AWS GovCloud for the U.S. Army C5ISR Center. You will lead platform engineering, RMF and ATO/cATO strategy, DevSecOps, and secure deployment practices. The hybrid role is onsite in Adelphi, MD, three days per week. Responsibilities Lead technical accreditation strategy and security controls for the agentic AI platform. Develop and maintain ATO/c ATO artifacts, including control narratives, diagrams, data flows, boundary definitions, POA&M inputs, and scan evidence. Collaborate with security and authorization stakeholders to support authorization decisions. Design, build, and operate an AWS Gov Cloud IL5 platform for agentic AI workloads. Deploy and manage containerized workloads using Kubernetes and Docker, with scaling, observability, resiliency, and recovery. Build CI/CD pipelines and infrastructure as code, integrate authorized AI services, and implement platform monitoring and MLOps practices. Required Skills AWS Gov Cloud Kubernetes Docker Infrastructure as Code Terraform Cloud Formation CI/CD pipelines Python RMF and security accreditation Dev Sec Ops
11/10/2026
Full time
Leidos seeks a Senior AI Platform Engineer to build and accredit a secure agentic AI platform in AWS GovCloud for the U.S. Army C5ISR Center. You will lead platform engineering, RMF and ATO/cATO strategy, DevSecOps, and secure deployment practices. The hybrid role is onsite in Adelphi, MD, three days per week. Responsibilities Lead technical accreditation strategy and security controls for the agentic AI platform. Develop and maintain ATO/c ATO artifacts, including control narratives, diagrams, data flows, boundary definitions, POA&M inputs, and scan evidence. Collaborate with security and authorization stakeholders to support authorization decisions. Design, build, and operate an AWS Gov Cloud IL5 platform for agentic AI workloads. Deploy and manage containerized workloads using Kubernetes and Docker, with scaling, observability, resiliency, and recovery. Build CI/CD pipelines and infrastructure as code, integrate authorized AI services, and implement platform monitoring and MLOps practices. Required Skills AWS Gov Cloud Kubernetes Docker Infrastructure as Code Terraform Cloud Formation CI/CD pipelines Python RMF and security accreditation Dev Sec Ops
Job Description Job Description Principal Enterprise Architect Job Category: Software Development / Engineering Job Type: Permanent Full-Time Openings: 1 Locations: Lafayette, LA Knoxville, TN Columbia, SC Birmingham, AL Position Description We are seeking a Principal Enterprise Architect to support enterprise-wide Application Portfolio Management (APM), Technology Portfolio Management (TPM), and modernization initiatives within a large financial services environment. This role will help mature how application and technology portfolios are assessed, governed, rationalized, and modernized. The Principal Enterprise Architect will establish portfolio frameworks, improve traceability across business capabilities and technology assets, and transform architecture information into structured data that supports informed investment and modernization decisions. The role will work closely with Enterprise Architecture, Business Architecture, Product, Engineering, and Portfolio Management teams and utilize enterprise architecture platforms such as ARIS, Alfabet, or comparable tools . Experience supporting modernization initiatives within AWS-heavy cloud environments is highly valuable. Required Qualifications 10+ years of Enterprise Architecture experience within large, complex enterprise environments. Strong hands-on experience with Application Portfolio Management (APM) and Technology Portfolio Management (TPM) . Experience evaluating application and technology portfolios for: Modernization Rationalization Lifecycle management Technical health Strong understanding of enterprise architecture modeling, metamodels, architecture repositories, and Architecture-as-Data practices . Hands-on experience with ARIS, Alfabet, or comparable Enterprise Architecture Management platforms . Ability to establish and maintain relationships across: Business capabilities Value streams Applications Technologies Supporting processes Experience developing: Portfolio assessment criteria Modernization scorecards Architecture metrics Guardrails Governance standards Strong understanding of cloud modernization , preferably within AWS-heavy enterprise environments . Experience translating architecture and portfolio data into actionable recommendations for technology and business stakeholders. Strong communication and stakeholder management skills. Ability to influence senior leaders and cross-functional teams . Financial services or other highly regulated industry experience is strongly preferred. Education Bachelor's degree in Computer Science, Information Systems, or a related field. Compensation & Benefits A reasonable estimate of the current compensation range for this role in the U.S. is $129,100 - $226,200 , depending on skills, experience, training, certifications, and other relevant factors. Eligible employees may receive benefits including: Competitive compensation Comprehensive insurance options 401(k) matching contributions Employee share purchase plan Paid vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well-being programs Ref: Pittsburgh
11/10/2026
Full time
Job Description Job Description Principal Enterprise Architect Job Category: Software Development / Engineering Job Type: Permanent Full-Time Openings: 1 Locations: Lafayette, LA Knoxville, TN Columbia, SC Birmingham, AL Position Description We are seeking a Principal Enterprise Architect to support enterprise-wide Application Portfolio Management (APM), Technology Portfolio Management (TPM), and modernization initiatives within a large financial services environment. This role will help mature how application and technology portfolios are assessed, governed, rationalized, and modernized. The Principal Enterprise Architect will establish portfolio frameworks, improve traceability across business capabilities and technology assets, and transform architecture information into structured data that supports informed investment and modernization decisions. The role will work closely with Enterprise Architecture, Business Architecture, Product, Engineering, and Portfolio Management teams and utilize enterprise architecture platforms such as ARIS, Alfabet, or comparable tools . Experience supporting modernization initiatives within AWS-heavy cloud environments is highly valuable. Required Qualifications 10+ years of Enterprise Architecture experience within large, complex enterprise environments. Strong hands-on experience with Application Portfolio Management (APM) and Technology Portfolio Management (TPM) . Experience evaluating application and technology portfolios for: Modernization Rationalization Lifecycle management Technical health Strong understanding of enterprise architecture modeling, metamodels, architecture repositories, and Architecture-as-Data practices . Hands-on experience with ARIS, Alfabet, or comparable Enterprise Architecture Management platforms . Ability to establish and maintain relationships across: Business capabilities Value streams Applications Technologies Supporting processes Experience developing: Portfolio assessment criteria Modernization scorecards Architecture metrics Guardrails Governance standards Strong understanding of cloud modernization , preferably within AWS-heavy enterprise environments . Experience translating architecture and portfolio data into actionable recommendations for technology and business stakeholders. Strong communication and stakeholder management skills. Ability to influence senior leaders and cross-functional teams . Financial services or other highly regulated industry experience is strongly preferred. Education Bachelor's degree in Computer Science, Information Systems, or a related field. Compensation & Benefits A reasonable estimate of the current compensation range for this role in the U.S. is $129,100 - $226,200 , depending on skills, experience, training, certifications, and other relevant factors. Eligible employees may receive benefits including: Competitive compensation Comprehensive insurance options 401(k) matching contributions Employee share purchase plan Paid vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well-being programs Ref: Pittsburgh
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: o Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top skills required for this role? 1. Selenium 2. Java 3. Python 4. SQL 5. GenAI
11/10/2026
Full time
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: o Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top skills required for this role? 1. Selenium 2. Java 3. Python 4. SQL 5. GenAI
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Key Responsibilities / Duties: Define and execute enterprise security architecture strategies, standards, reference architectures, design patterns, and guidelines aligned with business objectives and technology modernization efforts. undefined Partners with business leaders, enterprise architects, engineering teams, and security stakeholders to embed security requirements into technology roadmaps, cloud adoption, and transformation initiatives. undefined Define security functional and non-functional requirements that support business objectives and strengthen solution design. undefined Assess the effectiveness of security controls across data protection, identity and access management, security monitoring, detective controls, infrastructure/network security, and incident response; recommend controls, processes, and remediation actions to address gaps and reduce risk. undefined Research, evaluate, and advocate for emerging technologies, architectures, and security products that advance the security maturity roadmap. undefined Act as a subject matter expert for advisory, review and approval of security designs, configurations, baselines, and technical standards. undefined Mentor security architects and technical teams, promoting architectural excellence, knowledge sharing, and clear communication of complex security concepts to technical and business audiences. undefined Other duties as assigned. Work Experience / Knowledge: 15+ years of progressive IT experience, including 10+ years focused on cybersecurity, security architecture, and enterprise architecture in large, complex organizations. undefined 5+ years of experience with cloud delivery platforms, including IaaS, PaaS, and SaaS, and providers such as Amazon Web Services (AWS) and Microsoft Azure. undefined Strong background across cloud security, Zero Trust, networking, identity and access management, data protection, AI platforms, and risk management. undefined Experience leading enterprise-wide security initiatives, including architecture, implementation, and adoption of security solutions and processes. undefined Ability to engage senior leaders, define requirements, and clearly communicate security risks, decisions, and recommendations. undefined Expertise in two or more technology domains, such as infrastructure, application security, network security, IAM, data protection, endpoint security or AI security. undefined Knowledge of industry security control frameworks such as NIST, CSA CCM, and CIS Critical Security Controls. undefined Proficiency with architecture modeling using industry-standard notation languages, such as ArchiMate. Willingness to travel both domestically and internationally. Frequency and duration to be determined by manager. Skills / Other Personal Attributes Required: Strong ability to influence across technical, business, and executive stakeholders to drive adoption of enterprise architecture standards and security recommendations. undefined Collaborative team player with strong communication, organization, and facilitation skills. High-energy, confident professional with an ability to remain calm and take control in a crisis. Ability to see the big picture and think and act strategically. undefined Self-motivated and able to work independently with minimal direction. undefined Open-minded, flexible, and receptive to diverse perspectives; able to adapt to changing demands and conditions. undefined Committed to continuous learning, capability development, and mentoring others. Formal Education: Bachelor's degree in computer science, information systems, or a related field, or equivalent demonstrated experience. License / Registration / Certification: Certified Information Systems Security Professional ( CISSP) or equivalent certification. undefined Certification in enterprise architecture methodology or framework, such as The Open Group Architecture Framework (TOGAF) or Sherwood Applied Business Security Architecture (SABSA), preferred. undefined Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), or relevant vendor certifications from AWS or Microsoft Azure preferred. The salary range for this position in Charlottetown is $120,000-130,000 CAD per year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/09/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Key Responsibilities / Duties: Define and execute enterprise security architecture strategies, standards, reference architectures, design patterns, and guidelines aligned with business objectives and technology modernization efforts. undefined Partners with business leaders, enterprise architects, engineering teams, and security stakeholders to embed security requirements into technology roadmaps, cloud adoption, and transformation initiatives. undefined Define security functional and non-functional requirements that support business objectives and strengthen solution design. undefined Assess the effectiveness of security controls across data protection, identity and access management, security monitoring, detective controls, infrastructure/network security, and incident response; recommend controls, processes, and remediation actions to address gaps and reduce risk. undefined Research, evaluate, and advocate for emerging technologies, architectures, and security products that advance the security maturity roadmap. undefined Act as a subject matter expert for advisory, review and approval of security designs, configurations, baselines, and technical standards. undefined Mentor security architects and technical teams, promoting architectural excellence, knowledge sharing, and clear communication of complex security concepts to technical and business audiences. undefined Other duties as assigned. Work Experience / Knowledge: 15+ years of progressive IT experience, including 10+ years focused on cybersecurity, security architecture, and enterprise architecture in large, complex organizations. undefined 5+ years of experience with cloud delivery platforms, including IaaS, PaaS, and SaaS, and providers such as Amazon Web Services (AWS) and Microsoft Azure. undefined Strong background across cloud security, Zero Trust, networking, identity and access management, data protection, AI platforms, and risk management. undefined Experience leading enterprise-wide security initiatives, including architecture, implementation, and adoption of security solutions and processes. undefined Ability to engage senior leaders, define requirements, and clearly communicate security risks, decisions, and recommendations. undefined Expertise in two or more technology domains, such as infrastructure, application security, network security, IAM, data protection, endpoint security or AI security. undefined Knowledge of industry security control frameworks such as NIST, CSA CCM, and CIS Critical Security Controls. undefined Proficiency with architecture modeling using industry-standard notation languages, such as ArchiMate. Willingness to travel both domestically and internationally. Frequency and duration to be determined by manager. Skills / Other Personal Attributes Required: Strong ability to influence across technical, business, and executive stakeholders to drive adoption of enterprise architecture standards and security recommendations. undefined Collaborative team player with strong communication, organization, and facilitation skills. High-energy, confident professional with an ability to remain calm and take control in a crisis. Ability to see the big picture and think and act strategically. undefined Self-motivated and able to work independently with minimal direction. undefined Open-minded, flexible, and receptive to diverse perspectives; able to adapt to changing demands and conditions. undefined Committed to continuous learning, capability development, and mentoring others. Formal Education: Bachelor's degree in computer science, information systems, or a related field, or equivalent demonstrated experience. License / Registration / Certification: Certified Information Systems Security Professional ( CISSP) or equivalent certification. undefined Certification in enterprise architecture methodology or framework, such as The Open Group Architecture Framework (TOGAF) or Sherwood Applied Business Security Architecture (SABSA), preferred. undefined Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), or relevant vendor certifications from AWS or Microsoft Azure preferred. The salary range for this position in Charlottetown is $120,000-130,000 CAD per year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Technical Program Manager - Ecosystem Description - Job Summary This role is critical to the success of the WXP-Print portfolio, serving as the primary execution leader responsible for driving delivery across a complex ecosystem of platform capabilities, business applications, shared services, engineering teams, and partner organizations. The role translates approved business priorities into executable delivery plans by driving planning, dependency management, risk mitigation, release readiness, and cross-functional alignment across multiple products, technologies, and organizations. Programs typically span multiple products, technologies, and organizations, often involving 10+ teams across cloud services, enterprise software, data, security, operations, and firmware domains. Requires strong leadership, communication, technical breadth, and business acumen to navigate cross-organizational dependencies, align stakeholders, and drive predictable, high-quality delivery. Partners closely with Product Management, Engineering, Architecture, Customer Success, Support, and Operations teams to facilitate requirements clarification, execution planning, dependency management, and prioritization discussions. The individual provides data-driven analysis, delivery options, risk assessments, capacity considerations, and trade-off recommendations that enable Product Management and business stakeholders to make informed roadmap, investment, and prioritization decisions. Responsible for ensuring execution aligns with approved product priorities and business outcomes while maintaining delivery commitments. The role owns end-to-end program execution, including planning, dependency management, risk mitigation, issue resolution, release readiness, stakeholder communication, and escalation management for highly visible and business-critical initiatives. In addition, the role drives continuous improvement of execution practices through standardized processes, modern tools, automation, and AI-enabled capabilities that improve visibility, predictability, quality, and delivery outcomes. Responsibilities Technical Program Leadership Lead execution of complex, multi-team technical programs spanning multiple products, services, platforms, and organizations. Drive cross-organizational dependency management across engineering, product management, platform, architecture, security, operations, firmware, and external partner teams. Develop detailed execution plans, milestones, resource assumptions, release plans, and delivery commitments. Lead release planning and readiness activities across development, validation, deployment, operations, support, and post-release activities. Facilitate execution reviews, issue resolution, and technical trade-off discussions to maintain delivery commitments. Own program status, delivery health, risks, issues, and mitigation strategies. Proactively identify technical, architectural, operational, and organizational risks and drive resolution plans. Track execution across releases, features, defects, dependencies, testing, and readiness activities to ensure delivery completeness and quality. Communicate progress, risks, key decisions, and delivery status to stakeholders and leadership. Consolidate technical input from Engineering, Architecture, Quality, Security, and Operations teams to provide clear visibility into implementation effort, technical complexity, dependencies, risks, resource constraints, and delivery timelines, enabling informed business and product decisions. Drive continuous improvement of program execution practices and delivery effectiveness. Business & Execution Alignment Partner with Product Management, Architects, and Engineering teams to refine requirements, clarify scope, and ensure initiatives are execution-ready. Translate approved business priorities into executable workstreams, milestones, release plans, resource needs, and delivery strategies. Support prioritization and trade-off discussions by providing technical feasibility assessments, execution impact analysis, delivery recommendations, and alternative implementation approaches. Drive alignment across product, engineering, support, security, and operations teams to ensure successful execution. Assist in refining PRDs, user journeys, epics, features, acceptance criteria, MVP definitions, and phased delivery strategies to support engineering execution. Leadership & Organizational Effectiveness Influence outcomes across organizations without direct authority. Improve planning processes, governance, and execution transparency. Mentor program managers and contribute to program management best practices. Drive adoption of automation, AI-enabled workflows, and continuous improvement practices. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Engineering, Business Management, or a related discipline, or equivalent experience. Typically 7-10 years of experience supporting or leading complex technical programs, preferably in cloud, platform, SaaS, enterprise software, or device management environments. Proven experience leading cross-functional initiatives across multiple organizations and engineering teams. Experience working in Agile software development environments. Experience partnering closely with Product Managers, Architects, and Engineering leaders to convert business requirements into executable delivery plans. Experience supporting customer-facing initiatives and working with Customer Success, Support, Sales, or Operations organizations. Experience balancing customer commitments, delivery schedules, technical constraints, resource capacity, and organizational priorities. Experience driving large-scale delivery efforts involving multiple stakeholders and competing priorities. Preferred Certifications Program Management Professional (PMP) PMI Agile Certified Practitioner (PMI-ACP) SAFe Product Owner/Product Manager (POPM) SAFe Lean Portfolio Management (LPM) Certified Scrum Product Owner (CSPO) Knowledge & Skills Program & Delivery Leadership Technical Program Management Agile Methodology Portfolio Planning Dependency Management Risk Management Release Management Change Management Project Planning Milestone Management Continuous Improvement Scrum and Kanban Jira and Agile Delivery Tools Product & Business Acumen Requirements Management PRD Review and Development Business Case Analysis Roadmap Planning Support Prioritization Frameworks Trade-off Analysis Customer Journey Analysis Customer Feedback Analysis Data-Driven Decision Making Portfolio Governance Business Process Analysis Operational Readiness Planning Technical Skills Enterprise Software Cloud Platforms SaaS Solutions API-Based Systems Data Services Platform Technologies Systems Integration Software Development Lifecycle Leadership & Customer Skills Customer Centricity Executive Communication Stakeholder Management Strategic Thinking Influence Without Authority Problem Solving Negotiation Conflict Resolution Organizational Leadership Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Collaboration Business Acumen Strategic Thinking Impact & Scope Impacts multiple products, platforms, and strategic initiatives by leading cross-functional execution efforts and influencing delivery decisions for highly visible programs. Drives alignment across Product Management, Engineering, Architecture, Support, Operations, and Leadership teams. Directly impacts delivery predictability, customer readiness, operational outcomes, and business commitments. Shapes how initiatives are executed by improving planning quality, risk management, execution discipline, and organizational alignment. Complexity Works on highly complex initiatives where success requires balancing customer needs, business priorities, technical constraints, architectural direction, organizational dependencies, resource capacity, and delivery commitments. Must be comfortable operating in ambiguous environments where requirements evolve, priorities compete, and decisions require careful analysis of customer impact, business value, technical feasibility, resource availability, and delivery risk. Provides execution leadership and trade-off recommendations that enable business and product leaders to make informed decisions while ensuring delivery teams remain aligned and focused on successful outcomes. What Success Looks Like The successful candidate will: Deliver complex cross-functional initiatives on time and with high quality. Provide clear visibility into commitments, risks, dependencies . click apply for full job details
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Technical Program Manager - Ecosystem Description - Job Summary This role is critical to the success of the WXP-Print portfolio, serving as the primary execution leader responsible for driving delivery across a complex ecosystem of platform capabilities, business applications, shared services, engineering teams, and partner organizations. The role translates approved business priorities into executable delivery plans by driving planning, dependency management, risk mitigation, release readiness, and cross-functional alignment across multiple products, technologies, and organizations. Programs typically span multiple products, technologies, and organizations, often involving 10+ teams across cloud services, enterprise software, data, security, operations, and firmware domains. Requires strong leadership, communication, technical breadth, and business acumen to navigate cross-organizational dependencies, align stakeholders, and drive predictable, high-quality delivery. Partners closely with Product Management, Engineering, Architecture, Customer Success, Support, and Operations teams to facilitate requirements clarification, execution planning, dependency management, and prioritization discussions. The individual provides data-driven analysis, delivery options, risk assessments, capacity considerations, and trade-off recommendations that enable Product Management and business stakeholders to make informed roadmap, investment, and prioritization decisions. Responsible for ensuring execution aligns with approved product priorities and business outcomes while maintaining delivery commitments. The role owns end-to-end program execution, including planning, dependency management, risk mitigation, issue resolution, release readiness, stakeholder communication, and escalation management for highly visible and business-critical initiatives. In addition, the role drives continuous improvement of execution practices through standardized processes, modern tools, automation, and AI-enabled capabilities that improve visibility, predictability, quality, and delivery outcomes. Responsibilities Technical Program Leadership Lead execution of complex, multi-team technical programs spanning multiple products, services, platforms, and organizations. Drive cross-organizational dependency management across engineering, product management, platform, architecture, security, operations, firmware, and external partner teams. Develop detailed execution plans, milestones, resource assumptions, release plans, and delivery commitments. Lead release planning and readiness activities across development, validation, deployment, operations, support, and post-release activities. Facilitate execution reviews, issue resolution, and technical trade-off discussions to maintain delivery commitments. Own program status, delivery health, risks, issues, and mitigation strategies. Proactively identify technical, architectural, operational, and organizational risks and drive resolution plans. Track execution across releases, features, defects, dependencies, testing, and readiness activities to ensure delivery completeness and quality. Communicate progress, risks, key decisions, and delivery status to stakeholders and leadership. Consolidate technical input from Engineering, Architecture, Quality, Security, and Operations teams to provide clear visibility into implementation effort, technical complexity, dependencies, risks, resource constraints, and delivery timelines, enabling informed business and product decisions. Drive continuous improvement of program execution practices and delivery effectiveness. Business & Execution Alignment Partner with Product Management, Architects, and Engineering teams to refine requirements, clarify scope, and ensure initiatives are execution-ready. Translate approved business priorities into executable workstreams, milestones, release plans, resource needs, and delivery strategies. Support prioritization and trade-off discussions by providing technical feasibility assessments, execution impact analysis, delivery recommendations, and alternative implementation approaches. Drive alignment across product, engineering, support, security, and operations teams to ensure successful execution. Assist in refining PRDs, user journeys, epics, features, acceptance criteria, MVP definitions, and phased delivery strategies to support engineering execution. Leadership & Organizational Effectiveness Influence outcomes across organizations without direct authority. Improve planning processes, governance, and execution transparency. Mentor program managers and contribute to program management best practices. Drive adoption of automation, AI-enabled workflows, and continuous improvement practices. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Engineering, Business Management, or a related discipline, or equivalent experience. Typically 7-10 years of experience supporting or leading complex technical programs, preferably in cloud, platform, SaaS, enterprise software, or device management environments. Proven experience leading cross-functional initiatives across multiple organizations and engineering teams. Experience working in Agile software development environments. Experience partnering closely with Product Managers, Architects, and Engineering leaders to convert business requirements into executable delivery plans. Experience supporting customer-facing initiatives and working with Customer Success, Support, Sales, or Operations organizations. Experience balancing customer commitments, delivery schedules, technical constraints, resource capacity, and organizational priorities. Experience driving large-scale delivery efforts involving multiple stakeholders and competing priorities. Preferred Certifications Program Management Professional (PMP) PMI Agile Certified Practitioner (PMI-ACP) SAFe Product Owner/Product Manager (POPM) SAFe Lean Portfolio Management (LPM) Certified Scrum Product Owner (CSPO) Knowledge & Skills Program & Delivery Leadership Technical Program Management Agile Methodology Portfolio Planning Dependency Management Risk Management Release Management Change Management Project Planning Milestone Management Continuous Improvement Scrum and Kanban Jira and Agile Delivery Tools Product & Business Acumen Requirements Management PRD Review and Development Business Case Analysis Roadmap Planning Support Prioritization Frameworks Trade-off Analysis Customer Journey Analysis Customer Feedback Analysis Data-Driven Decision Making Portfolio Governance Business Process Analysis Operational Readiness Planning Technical Skills Enterprise Software Cloud Platforms SaaS Solutions API-Based Systems Data Services Platform Technologies Systems Integration Software Development Lifecycle Leadership & Customer Skills Customer Centricity Executive Communication Stakeholder Management Strategic Thinking Influence Without Authority Problem Solving Negotiation Conflict Resolution Organizational Leadership Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Collaboration Business Acumen Strategic Thinking Impact & Scope Impacts multiple products, platforms, and strategic initiatives by leading cross-functional execution efforts and influencing delivery decisions for highly visible programs. Drives alignment across Product Management, Engineering, Architecture, Support, Operations, and Leadership teams. Directly impacts delivery predictability, customer readiness, operational outcomes, and business commitments. Shapes how initiatives are executed by improving planning quality, risk management, execution discipline, and organizational alignment. Complexity Works on highly complex initiatives where success requires balancing customer needs, business priorities, technical constraints, architectural direction, organizational dependencies, resource capacity, and delivery commitments. Must be comfortable operating in ambiguous environments where requirements evolve, priorities compete, and decisions require careful analysis of customer impact, business value, technical feasibility, resource availability, and delivery risk. Provides execution leadership and trade-off recommendations that enable business and product leaders to make informed decisions while ensuring delivery teams remain aligned and focused on successful outcomes. What Success Looks Like The successful candidate will: Deliver complex cross-functional initiatives on time and with high quality. Provide clear visibility into commitments, risks, dependencies . click apply for full job details
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
