9 jobs found

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details

Vantor is seeking a Senior Staff DevOps Engineer to design, build, and optimize cloud-native infrastructure for modern web and data solutions. You will own CI/CD pipelines, infrastructure as code, and observability across multiple client projects, enabling rapid, reliable releases. Partner with developers and data teams to automate environments, improve performance, and ensure security, reliability, and scalability. You'll mentor engineers, champion DevOps best practices, and help evolve our cloud, automation, and deployment standards in a collaborative, low-ego, agile environment.

Tech Summary This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: This is a hands-on, senior individual-contributor role for an experienced operations leader who can bring structure, accountability, and technical depth to how cloud services are supported, documented, measured, escalated, and continuously improved. The principal will own the operating model for platform operations, documentation, incident and change processes, HA/DR posture documentation, operational readiness standards for new cloud services, vendor performance management, and service-level accountability. The principal will enable onshore and offshore technical teams responsible for 24x7x365 operation of the environment, partner with vendors responsible for L1/L2 support, and coordinate with service and platform teams responsible for L3 escalation. The role ensures that services are not only technically ready for general availability, but operationally ready with runbooks, failure scenarios, monitoring, alerting, auditability, logging, escalation paths, ownership boundaries, and sustained support expectations in place. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: We're looking for a Principal Engineer Databricks / Analytics to build on the existing foundation and push it further, faster - hardening its security posture, strengthening its operations and resiliency, and scaling it to meet fast-growing demand for data and AI on sensitive health information. This is a hands-on, senior individual-contributor role for a seasoned technical leader who wants to drive a platform that real teams depend on and in partnership with internal stakeholders be the technical authority for how it's run, secured, and evolved. You-ll technically lead administration, security, operations, and self-service feature enablement as a secure, well-run, well-configure foundation and partner with stakeholders to manage catalog and schema design, data curation, and data governance. If running and scaling a secure, resilient data and AI platform for a mission that matters sounds like your kind of challenge, we'd love to talk. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.