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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF

Job Description Job Description COMPANY: Canoe Intelligence WEBSITE : TITLE: Sr. Machine Learning Engineer LOCATION: Hybrid in New York City or London SALARY : $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You'll work hands-on with LLM and other ML Models, helping scale Canoe's platform while shaping how alternative investment firms interact with their data. What You'll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe's MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe's technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor's degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First -> Listen, and deliver client-centric solutions Be An Owner -> Take initiative, improve situations, drive positive outcomes Excellence -> Always set the highest standard for yourself and others Win Together -> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description Lead Systems Engineer - Job Description Job Title: Lead Systems Engineer (Req 2) Department: Engineering Reports To: Program Manager and Engineering Director FLSA Status: Exempt / Full-time Salary Range: $125,000 - $175,000 Annually (depending on experience) ROLE We are seeking a senior Lead Systems Engineer to define system architectures, develop and manage requirements, and guide integration and verification activities across multiple interconnected products. This role oversees system-level consistency and performance, ensures alignment to program commitments, and coordinates work across hardware, software, and test teams. The ideal candidate brings extensive experience in military communication systems, strong skills in interface control and lifecycle engineering, and the ability to drive technical execution in a schedule driven environment. Experience with Navy or other DoD programs is highly desirable. RESPONSIBILITIES Lead end to end systems engineering activities across multiple related communication systems, including architecture definition, requirements development, interface management, risk assessment, verification planning, and formal design reviews (SRR, PDR, CDR, PRR/FDR, TRR). Establish, decompose, and maintain system level requirements with full traceability to customer specifications, derived constraints, verification methods, and subsystem allocations. Help coordinate technical execution across internal teams and external suppliers, ensuring consistent system architecture, controlled interfaces, synchronized schedules, and delivery of verified, compliant system capabilities. Develop and maintain key system artifacts such as system block diagrams, ICDs, data flow representations, verification matrices, integration strategies, and detailed test plans. Lead and facilitate technical interchange meetings (TIMs), multi discipline design reviews, peer reviews, and supplier technical performance assessments, with emphasis on verification readiness and test completeness. Collaborate closely with software, hardware, test engineering, manufacturing, configuration management, and program management teams to ensure cohesive system behavior and robust verification coverage across the lifecycle. Provide leadership in configuration control, verification tools, requirements management tools, and continuous improvement of systems engineering processes, particularly around test and verification discipline supporting AS9100-compliant engineering processes. Mentor junior engineers and contribute to the growth, consistency, and maturity of the systems engineering discipline across the organization. REQUIRED SKILLS Strong proficiency in full lifecycle systems engineering for embedded communication systems, with the ability to operate effectively in a fixed price, schedule driven environment while supporting Agile development practices. Hands on experience defining, refining, and maintaining traceable requirements baselines, performing system modeling and analysis, and executing verification in alignment with contractual commitments. Solid background in high-speed serial communication technologies and mixed hardware/software architectures, including integration considerations for embedded processors and high speed communication buses. Demonstrated capability to support architecture definition, system decomposition, design reviews, and configuration controlled updates throughout a HW/SW system's lifecycle. Help manage program and engineering workflows using Jira, including sprint planning, backlog grooming, dashboard/report creation, and cross team coordination to ensure project transparency and execution discipline. Strong understanding of embedded systems, HW/SW integration, interface control, and data driven decision making across complex system interactions. Excellent communication and documentation skills, with the ability to clearly present technical information to customers, program leadership, and cross functional teams. PREFERRED SKILLS Direct experience supporting Navy or other DoD research, development, or acquisition programs. Familiarity with requirements management tools such as Jama, DOORS, or equivalent. Experience coordinating multidisciplinary engineering teams and aligning Agile development activities with fixed price contractual deliverables. Knowledge of environmental qualification standards and test methods, including MIL STD 461/MIL STD 810. Understanding of configuration management practices and modern digital engineering toolchains. QUALIFICATIONS Bachelor's Degree in Systems Engineering, Computer Engineering or related field. Minimum 8 years of relevant experience. US Person required; ability to obtain and maintain a DoD Secret clearance. Position located in Melbourne, FL (not remote).

Job Description Job Description Founded in 1936, the National Wildlife Federation has grown into America's largest and most trusted grassroots conservation organization with 52 state/territorial affiliates and more than six million members and supporters, including hunters, anglers, gardeners, birders, hikers, campers, paddlers, and outdoor enthusiasts of all ages and stripes. The mission of the National Wildlife Federation is to unite all Americans to ensure wildlife thrive in our rapidly changing world. We advance this mission through programming focused on conserving wildlife, restoring habitats and waterways, expanding outdoor opportunities, connecting children with nature, advancing environmental justice, and addressing the causes and consequences of climate change. To support our mission, we are seeking a Data & Systems Specialist to join our Data & Technology Department. This role works at the intersection of data, systems, and stakeholder support. The Data & Systems Specialist is responsible for managing, maintaining, and optimizing data and business processes for NWF's mission-critical supporter systems. This role is a vital resource for system users, developers, project managers, data analysts, and vendors. They work with stakeholders to ensure alignment with the organization's fundraising, engagement, programmatic, and operational goals. They provide user support, manage process documentation, and execute training plans to enhance user adoption and optimization. The Data & Systems Specialist plays a key role in ensuring the data hygiene, data governance, and integrity of our supporter systems. The person in this role is expected to be proactive, detail-oriented, and an effective communicator. The Data & Systems Specialist will be part of the Data & Systems team and report to the Senior Manager of System Strategy & Projects. Principle Duties (major areas of responsibility): System Administration Serve as primary administrator for the CRM database (currently Microsoft Dynamics). Configure fields, forms, views, automations, reports, dashboards, and user security permissions. Troubleshoot system issues and partner with key stakeholders to identify and deploy practical solutions. Execute system improvements and upgrades in collaboration with system users, developers, project managers, data analysts, and vendors. Create and perform quality assurance testing scripts related to functionality enhancements or bug fixes. Build queries and run reports to distribute to system stakeholders. Serve as a backup for NWF's Data Operations Manager to perform key functions when coverage is needed. User Support and Training Manage the CRM support inbox, acting as primary point of contact for CRM-related questions and feedback. Provide hands-on support to CRM users, addressing database questions, data inquiries, technical issues, and ensuring efficient and effective system utilization. Regularly meet with CRM super users and gather feedback to improve functionality and data processes. Develop and deliver optimized help documentation, training sessions, user surveys, and newsletter communications. Create and maintain documentation related to system usage, processes, and connections across systems. Data Hygiene and Data Governance Manage NWF's Data Protection inbox to resolve data privacy and data removal requests from our supporters. Monitor and manage data integrity tasks for NWF's supporter data. Conduct regular data integrity checks to identify and resolve any data issues. Perform data management tasks such as data imports, exports, appends, and merges. Research, develop, and maintain data governance policies for NWF's supporter data, ensuring compliance with applicable organization and policy standards. Collaboration and Strategy Partner with cross-functional teams and data owners (e.g. development, fundraising, legal, marketing, and operations) to align system capabilities with organizational requirements. Develop and implement strategies for improving operational efficiency, such as streamlining processes, eliminating redundancies, and elevating system capabilities. Collaborate with data owners and the Data Strategy team to ensure system configuration allows for seamless analytics and reporting. Help evaluate and adopt emerging technologies - including AI-powered tools - to enhance productivity. Qualifications: Skills and Competencies Strong analytical and problem-solving skills. Ability to troubleshoot creatively and critically think through implications beyond what is immediately apparent. Ability to manage multiple priorities while maintaining a positive outlook. Excellent communication skills. Comfortable sharing technical concepts in a way everyone can understand. Ability to collaborate effectively with diverse teams and stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Flexibility, reliability, determination, and a sense of humor. A passion for continuous improvement and learning new technologies. Willingness to adapt to changing organizational needs and proactively seek solutions. The employee's actions are expected to reflect the values of the National Wildlife Federation. Minimum Experience 2+ years experience in an administrator role for an enterprise CRM (Microsoft Dynamics, Salesforce, Blackbaud CRM). 2+ years experience serving as a support contact for CRM users, technical staff, and vendors. 2+ years experience implementing data hygiene best practices, crafting data governance principles, and performing data integrity tasks. 2+ years experience conducting data imports, exports, and validation activities for enterprise systems. Preferred Experience Knowledge of nonprofit operations, including donor database management, fundraising campaigns, and program delivery. Experience with Salesforce nonprofit applications or Salesforce Administrator certification. Experience implementing system data integrations and APIs. Experience with Tableau or a similar reporting platform. Experience working with complex data sets in SQL Server. Minimum Education Requirements Bachelor's degree from an accredited college or university. pplicants are invited to learn more about National Wildlife Federation's required equity competencies at -Us/Careers. Travel Requirements: There may be 1-10 travel days per year to attend conferences and perform field office visits. Location and Work Mode: This position will be based in Reston, Virginia. The National Wildlife Federation is committed to a flexible and empowered work environment with an authentic community of care for all staff. In this position, the employee may work hybrid or fully remote to be decided jointly with their supervisor in the final stages of the interview process. For more information on Work Modes, please review the benefits section of our careers page: -Us/Careers Physical Requirements of the Job: Remaining in a normal seated or standing position for extended periods; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example, using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about the workspace. The position requires mobility, including moving materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act. Compensation and Benefits: The salary range for this position is $60,000 - $70,000, commensurate with experience. We are proud of our designation by Mogul as a Top 100 Workplace with the Best Benefits, and by Forbes as one of America's best small employers! We value work-life balance and a family-friendly atmosphere with flexible scheduling. We want you to be able to integrate work and personal life with attention to your self-care, so that your work schedule is not depleting. We offer benefits so you feel restored and fueled through the day and week. We offer these supports to help manage your mental, emotional, and physical health: Paid time off: Vacation that starts off at three weeks accrual based on a full-time schedule, unlimited wellbeing (this time can be used for physical, spiritual, emotional, cultural, religious or financial wellbeing for yourself, a partner, or family member - including pets), and 11 holidays We close down for a paid winter break between December 25 to January 1 to recognize end of-year stress, and time for reflection, rejuvenation, and spending time with family. Up to 16 weeks of fully paid Family and Medical Leave Low-cost health, dental, and vision insurance options - all outpatient mental health is covered at in-network rates Therapist available at no cost . click apply for full job details

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations) Overview: 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. What You'll Do: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description Location: Sacramento, CA (on-site) Salary Range: $90,000-$150,000 (commensurate with experience) Employment Type: Full-time Position Summary Jaquith Consulting Group, Inc. (JCG) is seeking an experienced and detail-oriented Senior Document Controller to lead advanced document control operations for the California High-Speed Rail project. Under the direction of the Document Control Manager, the Senior Document Controller will serve as a subject matter expert and technical lead for document control operations, systems, and standards. The position provides advanced oversight of document management processes, ensures compliance with regulatory requirements, and supports the implementation, administration, and continuous improvement of the enterprise-wide Document Control System. The Senior Document Controller plays a critical role in stabilizing current document control operations while supporting long-term enterprise initiatives, system adoption, and best practices across projects and functional units. Key Responsibilities Serve as a senior-level subject matter expert for document control systems, processes, and standards across the organization Provide guidance, mentoring, and technical support to Document Controllers, Program Analysts, and project teams Act as a system administrator or power user for the enterprise Document Control System, supporting configuration, permissions, workflows, and troubleshooting Support enterprise document control initiatives, including system rollout, enhancements, and adoption strategies Oversee document intake, processing, distribution, storage, and archival activities to ensure compliance with standards, contractual requirements, and regulatory obligations Ensure adherence to document control procedures, metadata requirements, naming conventions, version control, and classification standards Review document submittals for completeness, accuracy, and compliance prior to acceptance into document management systems Support audit readiness efforts by ensuring documentation is complete, traceable, and properly maintained Support the procurement, deployment, configuration, and optimization of the enterprise-wide Document Control System Participate in defining system requirements, workflows, user roles, and reporting capabilities Identify system gaps, risks, and improvement opportunities; recommend and support enhancements to improve efficiency and data integrity Develop and maintain process maps, SOPs, desk manuals, and system user guides Monitor document control performance metrics, workload trends, and compliance indicators Maintain document control dashboards, trackers, and reporting tools to provide visibility into system health and operational performance Support risk identification and mitigation by maintaining document control risk logs and issue trackers Prepare summaries, reports, and briefings for leadership related to document control performance and system adoption Serve as a primary point of contact for document control matters with internal staff, consultants, contractors, and external partners Coordinate closely with project teams, IT, Business Analysts, procurement, and compliance staff to support document control needs Provide training, onboarding, and ongoing support to users of document control systems Support change management efforts related to new tools, workflows, and standards Contribute to continuous improvement initiatives to enhance document control efficiency, clarity, and consistency Support special projects, enterprise initiatives, and strategic priorities as assigned Promote a culture of accuracy, accountability, and best practices in document control Required Qualifications Bachelor's degree in Business Administration, Information Management, Records Management, Public Administration, or a related field; or equivalent professional experience Demonstrated experience performing document control functions on complex programs or capital projects Strong knowledge of document management systems, document control standards, and compliance requirements Proficiency with Microsoft Office, SharePoint, Adobe Acrobat, and enterprise document management platforms Strong organizational, analytical, and communication skills with the ability to manage multiple priorities Experience developing SOPs, workflows, process maps, and training materials Ability to work independently and collaboratively with multidisciplinary teams Preferred Qualifications Experience supporting or administering an enterprise-wide Document Control System as a system administrator or SME 10 years of experience on projects similar in scope and complexity, preferably on large infrastructure, transportation, or public-sector programs Professional certification in document or records management (e.g., CDIA+, CRM) or equivalent Familiarity with audit processes, regulatory compliance, and document retention requirements Experience supporting system implementation, change management, or enterprise process improvement initiatives Knowledge, Skills & Abilities Sound understanding of document control principles, standards, and best practices, including metadata requirements, naming conventions, version control, and classification standards Experience with document control operations on complex, large-scale programs, preferably in infrastructure, transportation, or the public sector Maintain accuracy, accountability, and attention to detail while promoting a culture of best practices in document control Familiarity with developing SOPs, desk manuals, process maps, workflows, and system user guides Proficiency with Microsoft Office, SharePoint, Adobe Acrobat, and enterprise document management platforms Clear written and verbal communication, including preparing summaries, reports, and briefings for leadership Jaquith Consulting Group and the California High-Speed Rail Authority are equal opportunity employers. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, age, veteran status, or any other protected characteristic.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

Attainx Inc. Job Title: Senior Nuclear Safety and Criticality Consultant Location: Work shall be conducted at the Hanford Field Office (HFO), the Hanford Site and Richland, WA. This position is telework and remote eligible at the discretion of the Technical Monitor (TM) in consultation with the Contracting Officer (CO). If in-person support is identified as required for any reason and for any length of time by the TM or CO, the contractor shall report for duty in person as requested. Citizenship: US citizenship required Salary: $75.00 - $100.00 hourly range (exempt) - 1440 hours. You will receive a competitive total rewards package that is applicable to the U.S. only. The salary range may vary based on relevant, work-related experience, skillset, educational background and Hanford Site experience. AttainX, Inc. is in search of a Senior Nuclear Safety and Criticality Consultant to support our government client, the Department of Energy (DOE) at HFO, supporting the Assistant Manager for Safety and Quality (AMSQ) in the Nuclear Safety Division (NSD). Support includes Central Plateau, Tank Farms, Direct Feed Low Activity Waste (DFLAW) and High Level Waste (HLW) Facility. Required Qualifications: BS/BA degree in engineering, science or related field Experience consulting or contributing on complex projects, including providing strategic, management or technical assistance to significant projects or programs in a senior capacity and/or as a consultant Specialized knowledge of criticality safety and implementing the American National Standards Institute (ANSI)/American Nuclear Society (ANS)-8 Standards Experience working at a senior level to improve major projects and programs Experience consulting or contributing to organizational or technical issues and assists in problem solving Successful experience in technical or management roles and proven skills in developing plans that yield positive organizational improvements Expert level knowledge of criticality and nuclear safety related controls and requirements Working level knowledge of HFO mission, activities and priorities Working level knowledge of DOE program and project management practices, policies and procedures Excellent communications skills Knowledge of Microsoft (MS) Word, PowerPoint and/or other MS Office tools Preferred Qualifications: Senior level knowledge of nuclear safety with more than 20 years of experience Expert level knowledge of criticality safety with more than 10 years of experience Working level knowledge of environmental, worker safety and health, quality assurance and related controls and requirements Job Duties: Provide mission-critical support at the Hanford Site, providing senior level nuclear safety consulting services in the area of program and project management. Perform criticality safety consulting services related to One Hanford Program needs, focusing on special activities, identified problem areas and support any criticality safety related needs by direct observation and involvement in relevant activities as determined by the TM. Provide reviews of contractor reports and submittals to One Hanford procedures and DOE-STD-3009, DOE-STD-3007, DOE-STD-1104 and 10 CFR 830. Provide periodic oversight of criticality related operations conducted by One Hanford projects to One Hanford procedures and DOE-STD- 3009 and DOE-STD-3007, as appropriate. Assist in the preparation of safety evaluation reports, or other approval documentation, associated with the above related activities. Assist in performance of readiness and startup assessment activities. Assist review of Documented Safety Analysis (DSA) safety management programs and evaluation of support documents. Deliverables shall be accomplished in accordance with One Hanford procedures and directions provided by the TM. All work performed under this task order must be in compliance with the requirements set by the Quality Assurance Implementation Plan (DOE-PPD-QA-50552) and associated implementing procedures. Non-Essential Functions: General duty requirements About Us: AttainX Inc. is a Women-Owned Small Business (WOSB) with CMMI Level 3 and ISO-certified management systems. For more than 15 years, AttainX has delivered emerging technologies, software products and high-quality services supporting federal government missions. Benefits AttainX offers competitive compensation and benefits for eligible U.S. employees, which may include paid time off, medical, dental and vision coverage, a matching 401(k) plan, tuition or training reimbursement and short- and long-term disability benefits. Eligibility and plan terms are governed by applicable plan documents and Company policies. EEO Commitment: AttainX provides equal employment opportunities and prohibits unlawful discrimination, harassment and retaliation based on any status protected by applicable law. Employment decisions are based on legitimate, job-related qualifications and business requirements. AttainX also complies with applicable obligations concerning protected veterans and individuals with disabilities. Accomodations: AttainX provides reasonable accommodations to qualified individuals with disabilities and for sincerely held religious beliefs or practices, unless doing so would create an undue hardship or direct threat under applicable law. Applicants or employees needing assistance may contact Human Resources. Physical Demands: This position primarily involves sedentary work and extended computer use. It requires effective communication, occasional standing and walking, use of standard office equipment and occasionally lifting or moving up to 10 pounds. Reasonable accommodations may be provided to enable qualified individuals to perform the essential functions. Work Environment: Work is performed in office, government and approved remote environments. The position may require work at secure government facilities, periodic travel, schedule flexibility and availability outside normal business hours based on mission and contract needs. Compensation details: 75-100 Hourly Wage PIdc17603b0ef8-7512

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

JOB DESCRIPTION Located in the metropolitan area of Sacramento, the Adventist Health corporate headquarters have been based in Roseville, California, for more than 40 years. In 2019, we unveiled our WELL-certified campus - a rejuvenating place for associates systemwide to collaborate, innovate and connect. Adventist Health Roseville and shared service teams have access to enjoy a welcoming space designed to promote well-being and inspire your best work. Job Summary: Adventist Health Roseville is seeking an Epic-Certified EHR Systems Analyst III for a full-time, day-shift position. We are looking for a strong candidate who can work primarily remotely, with the ability to travel up to 25% as required by the role. Candidates must have at least five (5) years of recent Epic Ambulatory experience. EpicCare Ambulatory certification is highly desirable , with a strong preference for candidates certified in Bones or Wisdom . Experience supporting Occupational Health or Occupational Medicine workflows in Epic is strongly preferred, including any exposure to the Epic Occupational Medicine (Occ Med) module . Leads the implementation and support of hospital information systems. Leads the planning, design, implementation, and maintenance of the existing systems and has a working knowledge of the applications for support and troubleshooting. Liaises between technical support, customers, and project teams in the design, implementation, and training of our healthcare information systems and any new enhanced systems. Utilizes comprehensive knowledge of Epic EHR system capabilities and functional use. Develops, recommends, and oversees implementation of policies and procedures for areas of responsibility. Job Requirements: Education and Work Experience: Bachelor's Degree or equivalent combination of education/related experience: Required Five years' healthcare IT application/technical experience: Required Five years' of applicable Epic application experience: Required Licenses/Certifications: Epic Certification/Accreditation in area of responsibility: Required Essential Functions: Serves as a senior member of the team, dedicated to the design, build and testing of electronic documentation solutions that support clinical and revenue cycle workflow. Leads project meetings and works cooperatively with team members to assign duties with the overall program and related projects with minimal managerial oversight. Facilitates application workflow design and application integration sessions. Designs, configures, tests, debugs, documents, and maintains programs/applications. Collaborates, researches, and analyzes to develop, configure, and modify moderately complex information systems based on or related to user system design specifications while utilizing established standards and departmental protocols. Designs and develops test scripts and materials for end-to-end workflow testing. Performs unit, system and integration testing per standards, documents outcomes. Evaluates user requests for special enhancements to systems. Collaborates with technical teams to define hardware/network requirements and to research and problem-solve technical issues. Installs and tests software per release checklist guidelines. Manages the planning and installation of automated systems. Works with end-users to develop specifications for the purchase, development and installation of software systems. Monitors progress of the plan and proposes corrective action where indicated. Utilizes appropriate planned change management models, principles and techniques in system planning, development, implementation and evaluation. Designs, develops, and monitors measurements of process improvements, including those enabled by standardized workflows. Provides ongoing support for existing computer applications. Provides support for problem resolution; escalates the problem to senior level personnel if necessary. Implements solutions, communicates to end users and tracks resolution. Analyzes incidents, identifying trends and major issues. Conducts routine status meetings with end users and leadership. Provides leadership support to analysts and team and to end-users regarding system applications. Maintains service level agreements with various end-user departments and enterprise business units. Supports the preparation and delivery of training materials and formal/informal training. Identifies educational opportunities related to standard applications and operational use of them. Develops strategies to educate analysts and support staff with focus to achieve improved operational understanding and efficiency. Leads various user group meetings as assigned. Mentors support groups to assist with their understanding of applications and processes. Handles ongoing on call duties for one or more applications which generate Incidents outside of business hours. Provides on call support as needed of the most critical applications. Troubleshoots and resolves system issues escalated by the help desk. As needed, up to 25%, travel on site to provide support during go-live events and other work-related occasions. Travel could occur during standard off-hours support times. Performs other job-related duties as assigned. Organizational Requirements: Adventist Health is committed to the safety and wellbeing of our associates and patients. Therefore, we require that all associates receive all required vaccinations as a condition of employment and annually thereafter, where applicable. Medical and religious exemptions may apply. Adventist Health participates in E-Verify. Visit for more information about E-Verify. By choosing to apply, you acknowledge that you have accessed and read the E-Verify Participation and Right to Work notices and understand the contents therein. ABOUT US Adventist Health is a faith-based, nonprofit, integrated health system serving more than 100 communities on the West Coast and Hawaii with over 440 sites of care, including 27 acute care facilities. Founded on Adventist heritage and values, Adventist Health provides care in hospitals, clinics, home care, and hospice agencies in both rural and urban communities. Our compassionate and talented team of more than 38,000 includes employees, physicians, Medical Staff, and volunteers driven in pursuit of one mission: living God's love by inspiring health, wholeness and hope.PandoLogic. Category:Technology,