197 jobs found

Job Description Job Description Indent : SF_OP_208618-1 Role : Data Architect Location : Purchase, NY (Hybrid) Rate: $75 to $80/hr The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

AI Principal Technical Consultant (ServiceNow AI) DETAILS Location: Remote Travel: up to 25% travel, as needed Position Type: 12M+ Contract Hourly / Salary: to $160W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking multiple AI Principal Technical Consultants for a 12M+ Contract opportunity that will be remote. The AI Principal Technical Consultants will leverage deep ServiceNow expertise to architect, design, develop, and deploy AI-powered solutions across the ServiceNow platform, including Now Assist, AI Agents, Agentic AI Workflows, Predictive Intelligence, and GenAI-enabled process automation. The AI Principal Technical Consultants will serve as the technical lead for enterprise AI initiatives by mentoring development teams, ensuring solution quality, providing architectural guidance, and overseeing project delivery from design through implementation. The AI Principal Technical Consultants will deliver consulting, integration, and enterprise AI solutions that enable intelligent automation, optimize business processes, and drive measurable business value across the organization. JOB REQUIREMENTS ServiceNow SME (Subject Matter Expert) Developing / Architecting Solutions on the ServiceNow Platform ServiceNow Process Areas (expertise) - ITSM / ITOM / HRSD / CSM / SPM, etc. + AI / Automation Capabilities in 1+ Areas ServiceNow Development - Scripting / Workflow Development / AI Agent Configuration / Skill Development / Workflow Orchestration ServiceNow AI / Agentic AI Implementing ServiceNow AI Capabilities (Now Assist / AI Agents / Predictive Intelligence / Virtual Agent / NLU / Agentic AI Workflows) Designing AI / Intelligent Automation Solutions via ServiceNow AI Platform ServiceNow AI Roadmaps / Best Practices / Emerging Platform Capabilities AI / GenAI Technologies Generative AI / LLM Expertise - GenAI / LLM / Prompt Engineering / RAG / AI Governance Evaluating AI Architectures - Build vs. Configuration Architecture Decisions / Model Selection / Enterprise AI Design Tradeoffs Responsible AI / AI Governance / Security / Compliance Integration / Solution Architecture ServiceNow AI Capability Integration - 3rd Party Applications / LLM Providers / Enterprise Data Platforms / APIs / Automation Tools Enterprise AI Solution Architecture - Architecting Scalable / Secure / Maintainable Solutions Across Multiple Technology Platforms Consulting / Leadership Technical Lead / Solution Architect on Enterprise ServiceNow Implementations Mentor Developers / Provide Architectural Guidance / Perform Technical Reviews / Ensure High-Quality Project Delivery Translating Business Requirements into Technical AI Solutions Executive Engagement Effectively Communicating AI Strategy / Business Value / ROI / Technical Recommendations to Executive / Technical Audiences Excellent Written / Verbal Communication Skills + Strong Stakeholder Management Abilities Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Job Description Must be US Citizen. Shape Safer Skies with Artificial Intelligence! Concepts Beyond is seeking a hands-on AI / Data Engineer & Analyst to serve as our AI technical lead for aviation safety and air traffic management programs. A major focus is real-time voice processing - transcribing and extracting meaning from pilot-controller radio communications - alongside anomaly detection, aircraft conflict/collision risk prediction, and predictive safety analytics. This is a high-ownership, individual-contributor role: you will personally build, train, and deploy the models and pipelines that drive real decisions in the National Airspace System. We welcome recent Ph.D. graduates, postdocs, government or military technologists, and academic engineers - sharp, fast-learning technologists ready to grow into a highly visible, public-facing leadership role. Concepts Beyond builds solutions advancing Air Traffic Management, Information Management, cybersecurity, AI, data analytics, and safety. What You'll Do Voice & Speech Processing (Priority Focus Area) Build and fine-tune real-time ASR for pilot-controller radio communications using modern architectures (Whisper-class, Conformer/FastConformer, streaming RNN-T/CTC), adapted to noisy radio channels, call-sign phraseology, and diverse accents. Implement call-sign/command spotting and Named-Entity Recognition (NER) with contextual biasing against surveillance data (e.g., ADS-B); develop speaker-role/turn detection, voice activity detection, and read-back error detection. Deploy low-latency streaming inference for live ATC operations, evaluated on call-sign and command accuracy, not just overall word error rate. AI, Machine Learning & Intelligent Systems Develop RAG pipelines over enterprise vector stores, and fine-tune and deploy LLMs/SLMs and agentic architectures for real-time operational analysis and decision support. Develop AI/ML for aviation safety analytics: aircraft conflict and collision risk prediction, trajectory-based anomaly detection, and probabilistic, time-series, and causal-factor analysis on ASIAS/FOQA/ASRS data. Data Engineering & Infrastructure Architect, build, and maintain scalable, idempotent ETL/ELT pipelines for structured and unstructured data (e.g., Apache Airflow, Prefect, Spark, Flink) across cloud and hybrid environments. Integrate and manage data across enterprise platforms (e.g., Palantir Foundry, AWS, Azure, GCP). Thought Leadership & Innovation Analyze state-of-the-art technologies and drive cutting-edge AI strategy; promote thought leadership through publications, conference presentations, and industry collaboration. Required Qualifications Ph.D., Master's, or Bachelor's in Computer Science, Engineering, or a related field. Recent Ph.D. graduates and postdocs with strong applied AI/ML or speech/NLP research are strongly encouraged to apply. 5+ years of relevant experience in data engineering or applied AI/ML; equivalent Ph.D./postdoctoral research will be considered in place of industry tenure. Hands-on experience building real-time voice/speech AI (ASR/STT, speaker/role detection, keyword or entity spotting) - the most important technical qualification for this role - plus LLMs/SLMs, RAG, and production deployment with model versioning and monitoring. Proficient in Python with strong engineering practices (testing, logging, version control); experience with ETL/ELT orchestration, SQL, and big-data frameworks (Spark, Flink) on AWS, Azure, or GCP. Fast learner and clear communicator, able to explain complex technical work to technical and non-technical audiences, and eager to grow into public speaking and industry engagement. Nice to Have Strongly preferred: aviation domain experience (ATC operations, pilot communications/phraseology, ASIAS, SWIM, FOQA/ASRS) and hands-on Palantir Foundry experience - candidates with both are an especially strong fit. Exceptional AI/ML or voice talent from adjacent regulated domains (finance, healthcare, defense) will also be considered. Voice stack: Whisper large-v3/turbo and fine-tuned variants, NVIDIA NeMo/Canary, wav2vec 2.0/HuBERT, Conformer/FastConformer, BERT-based speaker-role classifiers, Silero VAD, pyannote diarization, keyword/wake-word spotting; audio-native multimodal LLMs a plus. Probabilistic modeling and causal inference (PyMC, Pyro, Stan); vector databases (FAISS, pgvector, Pinecone); Kafka/streaming; Docker, Kubernetes, and infrastructure-as-code. DevSecOps experience in regulated or safety-critical environments; experience leading technical architecture discussions with customers and partners. LLM/SLM fine-tuning (PyTorch, Hugging Face, LoRA/QLoRA); MLOps including drift detection, retraining pipelines, and monitoring. Computer vision (OpenCV, YOLO, SAM) and multimodal models for surveillance and surface imagery.

AI Senior Technical Consultant (ServiceNow AI) DETAILS Location: Remote Travel: Up to 25% travel, as needed Position Type: 6M+ Contract Hourly / Salary: to $145W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking multiple AI Senior Technical Consultants for a 6M+ Contract opportunity that will be remote. The AI Senior Technical Consultants will lead the end-to-end development of AI-enabled solutions across the ServiceNow platform utilizing capabilities such as Now Assist, AI Agents, Predictive Intelligence, AI Search, Agentic AI Workflows, and GenAI-powered automation. The AI Senior Technical Consultants will guide technical implementation efforts by mentoring Technical Consultants, partnering with Principal Technical Consultants and Solution Architects, and delivering secure, scalable AI solutions across ServiceNow product suites including ITSM, ITOM, ITAM, SecOps, IRM, CSM, HRSD, SPM, and ESM. The AI Senior Technical Consultants will translate business requirements into intelligent automation solutions by combining deep ServiceNow platform engineering expertise with applied AI technologies, enabling organizations to successfully adopt enterprise AI and agentic workflows. JOB REQUIREMENTS ServiceNow Platform Engineering Designing / Developing Enterprise Solutions on the ServiceNow Platform ServiceNow Product Expertise - ITSM / ITOM / ITAM / SecOps / IRM / CSM / HRSD / SPM / ESM ServiceNow Development (advanced / hands-on) - Scripting / Workflow Development / Flow Designer / AI Agent Configuration / Skill Development Building / Testing / Deploying Enterprise ServiceNow Solutions ServiceNow AI / Agentic AI Developing AI Solutions via Now Assist / AI Agents / Predictive Intelligence / AI Search / Agentic AI WFs Building Intelligent Automation Solutions Across the ServiceNow Platform AI Enablement Across Multiple ServiceNow Product Suites AI / GenAI Technologies GenAI / LLM Concepts / Prompt Engineering / AI Governance Developing AI-Driven Business Solutions via Modern AI Capabilities Responsible AI / Security / Governance Best Practices Platform Integration / Data Foundations Developing Integrations with Enterprise Apps / APIs / Enterprise Data Platforms / 3rd Party Technologies Building AI Solutions utilizing Enterprise Data Foundations Supporting Enterprise Workflow Automation / Cross-Platform Integrations Technical Leadership Leading Technical Development Activities Across Enterprise AI Projects Mentoring Technical Consultants / Junior Developers Partnering with Principal Technical Consultants / Solution Architects Translating Business Requirements into Secure / Governed / Scalable AI Solutions Collaboration / Communication Collaborating with Business Stakeholders / Architects / Cross-Functional Technical Teams Communicating Technical Solutions / Risks / Project Status Throughout Delivery Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Senior Software Architect We are seeking a Principal Software Architect to lead the design and implementation of enterprise cloud, data, and AI solutions. Responsibilities Design scalable, secure cloud and enterprise application architectures. Lead cloud migration and modernization initiatives. Develop AI and data platform solutions to support business operations. Establish architecture standards, governance, and best practices. Provide technical leadership, mentoring, and design guidance to engineering teams. Partner with cross-functional stakeholders to deliver enterprise technology solutions. Ensure applications meet security, compliance, and performance standards. Support software delivery through architecture reviews and technical oversight. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of software engineering experience, including 5+ years in a senior architecture or technical leadership role. Strong experience with Microsoft Azure cloud services and enterprise architecture. Experience with AI, machine learning, cloud data platforms, and application modernization. Proficiency in C#, .NET, Python, SQL, and modern DevOps practices. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Job Description EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. We are seeking a highly experienced Principal Product & TechnologyLead to partner with business and technology leaders in driving strategy, delivery, and adoption of enterprise analytics, AI, and digital platforms. This individual will serve as a trusted advisor to stakeholders while leading cross-functional teams, managing complex technology initiatives, and ensuring delivery of measurable business value. The ideal candidate combines product leadership, technical depth, strategic thinking, and execution excellence to successfully lead initiatives spanning data, analytics, AI/GenAI, and enterprise application platforms. Key Responsibilities Product Strategy & Portfolio Management Define product vision, roadmap, and prioritization across a portfolio of analytics, data, AI, and digital solutions. Partner with business stakeholders to identify opportunities, define requirements, and deliver business outcomes. Develop and maintain product backlogs, release plans, success metrics, and adoption strategies. Drive value realization through measurable business outcomes and ROI tracking. Technology Leadership Provide technical leadership across architecture, design, integration, and platform modernization initiatives. Collaborate with engineering teams to ensure scalable, secure, and maintainable solutions. Guide solution design reviews and technical decision-making. Promote engineering best practices, automation, DevOps, and AI-assisted development approaches. AI & Innovation Identify, evaluate, and drive AI/GenAI use cases from concept through implementation. Partner with business and technical teams to define AI product strategy and business value. Support the adoption of emerging technologies including Generative AI, AI Agents, and automation capabilities. Ensure alignment with Responsible AI and governance requirements. Program & Delivery Leadership Lead planning, execution, and delivery across multiple concurrent initiatives. Manage dependencies, risks, issues, and stakeholder communications. Facilitate Agile ceremonies, roadmap reviews, governance forums, and executive updates. Coordinate cross-functional teams including Product, Engineering, Data, Quality, Operations, and Business partners. Stakeholder & Vendor Management Serve as a trusted advisor to business and technology leadership. Drive alignment across internal teams and external vendor partners. Lead executive presentations, strategic planning discussions, and steering committee reviews. Establish accountability and ensure successful delivery against commitments. Governance & Compliance Support architecture reviews, security assessments, and technology governance processes. Ensure compliance with applicable regulatory, privacy, security, and enterprise standards. Maintain appropriate documentation, controls, and audit readiness. Required Qualifications: Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of experience in Product Management, Technology Delivery, Solution Architecture, Engineering Leadership, or Technology Consulting. Proven experience leading enterprise-scale digital, analytics, data, or AI product initiatives. Experience managing global cross-functional teams and large-scale technology programs. Strong executive presence with the ability to communicate effectively with both technical and business audiences. Technical Requirements: Product & Delivery Expertise in product strategy, roadmap development, backlog management, and release planning. Strong understanding of Agile, Scrum, and modern product development methodologies. Experience managing complex technology portfolios and delivery roadmaps. Software Engineering & Architecture Strong understanding of Software Development Life Cycle (SDLC). Experience with enterprise application architecture and integration patterns. Knowledge of APIs, microservices, event-driven architectures, and distributed systems. Familiarity with frontend, backend, and cloud-native application development. Cloud & Platform Technologies Experience with one or more cloud platforms including Azure, AWS, or GCP. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of cloud migration, platform modernization, and scalable architecture design. Data & Analytics Strong understanding of: SQL Data Warehousing Data Modeling ETL/ELT Pipelines Enterprise Data Platforms Experience with analytics and business intelligence tools including Power BI, Tableau, Qlik, or ThoughtSpot. Experience delivering large-scale analytics or data-driven products. Artificial Intelligence & Generative AI Experience leading or supporting AI and Generative AI initiatives. Working knowledge of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Vector Databases Prompt Engineering Understanding of AI governance, responsible AI practices, and enterprise AI adoption. Development & Delivery Tooling Experience with: Jira Confluence Azure DevOps GitHub Git Microsoft 365 Ecosystem Ability to manage technical backlogs, releases, sprint planning, and delivery metrics. Governance, Security & Compliance Familiarity with: Security Reviews Risk Assessments Data Privacy Requirements AI Governance Frameworks Computer System Validation (CSV) GxP and Regulated Environments (preferred) Preferred Qualifications: Experience in Life Sciences, Pharmaceutical, Clinical Development, Healthcare, or Medical Technology industries. Experience supporting enterprise analytics and AI platforms. Experience managing global delivery teams and third-party vendors. Experience building business cases, ROI analyses, and value realization frameworks. Background in management consulting, technology strategy, or digital transformation.

Job Description Application Integration Engineer Location: Washington, DC Clearance: Top Secret clearance The Application Integration Engineer is responsible for designing, building, and maintaining data integration pipelines that connect Microsoft Dataverse and the Power Platform with internal and external systems. This role focuses on ensuring reliable, secure, and performant data migration and integration across cloud and on-premises environments. Key Responsibilities • Design, develop, and maintain data integration and migration pipelines between Dataverse/Power Platform and disparate source and target systems (on-premises, cloud, and SaaS) • Build and orchestrate ETL/ELT processes using Azure Data Factory, SQL Server Integration Services (SSIS), and Power Apps/Power Platform Dataflows • Develop and support integration flows using Power Automate, including scheduled, triggered, and event-driven workflows • Design, consume, and expose REST APIs and web services to enable bi-directional data exchange between Dataverse and external systems • Configure, maintain, and troubleshoot the On-Premises Data Gateway to enable secure connectivity between cloud services and on-premises data sources • Perform data profiling, cleansing, mapping, and transformation activities to ensure data quality and integrity throughout migration and integration processes • Develop and maintain error handling, logging, alerting, and monitoring for all integration pipelines to ensure reliability and rapid issue resolution • Collaborate with solution architects, functional consultants, and business stakeholders to gather integration requirements and translate them into technical designs • Document data flows, integration architecture, mapping specifications, and operational runbooks • Participate in data migration planning and execution for new Dataverse implementations, including extraction, transformation, validation, and load activities • Optimize integration performance, including throughput, latency, and API/service protection limits within Dataverse and connected systems • Support testing efforts including unit, integration, and user acceptance testing for data migration and integration solutions • Apply security and compliance best practices for data in transit and at rest, including credential/secrets management and role-based access control • Provide production support and troubleshooting for integration failures, data discrepancies, and performance issues • Stay current with Microsoft Power Platform, Dataverse, and Azure integration service updates and recommend improvements to existing solutions Mandatory Qualifications • 5+ years of experience in data engineering, data migration, or systems integration roles • Demonstrated experience integrating and migrating data into/out of Microsoft Dataverse and Power Platform • Hands-on experience with Power Automate for building integration and orchestration workflows • Hands-on experience with Power Apps/Platform Dataflows • Hands-on ETL experience with SQL Server Integration Services (SSIS) • Hands-on experience with pipeline orchestration/data movement in Azure Data Factory • Experience designing, consuming, and troubleshooting REST APIs for system-to-system integration • Experience configuring and maintaining the On-Premises Data Gateway • Strong proficiency in SQL (query optimization, relational database design) • Solid understanding of Dataverse data model, entity relationships, and Power Platform security model (business units, security roles, teams) • Experience with data mapping, transformation logic, and data quality validation techniques • Familiarity with authentication and authorization protocols (OAuth 2.0, Azure AD/Entra ID app registrations, service principals) • Strong analytical/troubleshooting skills; ability to diagnose complex data/integration issues • Excellent written and verbal communication skills; technical design documentation for technical and non-technical audiences Preferred Qualifications • Microsoft certifications such as PL-400, PL-600, DP-600, DP-203, or AZ-204 • Azure Logic Apps and/or Azure Functions for custom integration logic experience • Dataverse virtual tables/entities and virtual connectors experience • Familiarity with Microsoft Fabric, Dataverse short-term retention, or Azure Synapse Link for Dataverse • Experience with source control and CI/CD practices (Azure DevOps, GitLab CI/CD) • Knowledge of message-based/event-driven integration patterns (Azure Service Bus, Event Grid, webhooks) • Experience with API management platforms • Familiarity with data governance, master data management, and data retention/archival practices • Experience in integrating Power Platform with ERP or CRM systems • Working knowledge of C#/.NET or PowerShell for custom connectors, plug-ins, or automation scripting • Experience with Application Lifecycle Management (ALM) for Power Platform solutions (managed/unmanaged solutions, environment strategy) • Familiarity with monitoring and observability tooling (Application Insights, Azure Monitor) Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance required Compensation and Benefits Salary Range: $150,000 - $160,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron's benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.

Job Description Principal AI Solutions Architect About Us MathCo (TheMathCompany) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo's proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. We foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We offer exciting growth opportunities and value capabilities and attitude over experience-enabling our Mathemagicians to truly Leave a Mark. Role Overview We are seeking a Principal AI Solutions Architect with deep, hands-on experience building production GenAI and agentic systems. You will be the senior technical voice on our US AI engagements focused on AI-ready data and context foundations and on operating AI on an enterprise scale, across CPG, Retail, Life Sciences and other industries, turning that expertise into scalable applications that solve complex business problems. This is not a research role. We are looking for someone who has designed and implemented production AI solutions and knows what it takes to move from POCs to enterprise-scale applications. You will work on client opportunities from the first conversation through proposal, alongside our client and sales leaders, and with MathCo's global architecture and delivery teams, including our teams in India, so that every solution is technically sound and deliverable. The ideal candidate has worked deeply with LLMs, knowledge graphs, context engineering, agentic systems, AI orchestration, and modern AI and data platforms. What You'll Do Serve as a GenAI technical authority Provide senior technical credibility in strategic client and solutioning conversations with CTOs, CIOs, Chief Data Officers, AI leaders and business executives. Translate complex AI concepts into clear business implications, trade-offs and recommendations. Lead in-depth technical discussions on context layer, knowledge graphs, agents and AI operations in live client settings. Architect enterprise AI solutions Define end-to-end architectures that bring together LLMs, knowledge graphs, retrieval and context layers, agents, tools, orchestration frameworks and enterprise data. Develop architecture patterns that take AI applications from prototype to production. Evaluate options against business requirements, performance, scalability, security, maintainability and cost. Provide technical direction to engineering and delivery teams, and build a working prototype or demo when needed. Author and present the technical sections of proposals: architecture, phasing, assumptions and effort estimates. Build reusable reference architectures, scoping frameworks and platform-specific demos. Connect AI to business outcomes Work with clients to understand business processes and identify where AI can materially change how work gets done. Partner with business and consulting teams to shape AI opportunities into technically viable solutions. Build the business case: quantify the value and ROI of AI programs Design the data and context foundation Design how context is assembled and managed for AI systems across structured and unstructured enterprise knowledge. Design solutions using knowledge graphs, retrieval, memory, tools and other mechanisms that improve the relevance and reliability of LLM applications. Design the data foundation under AI applications: lakehouse and data-platform architecture, metadata and catalogs, semantic layers, data quality and access controls. Architect agentic systems, including tools, orchestration, guardrails and supporting infrastructure. Operationalize AI at enterprise scale Shape AI operations solutions: LLMOps, evaluation and monitoring, guardrails, and model and agent lifecycle management. Advise on AI cost: token usage and optimization, model selection and routing, and infrastructure trade-offs. Advise on AI governance and risk, including frameworks such as NIST AI RMF and the EU AI Act, data privacy (including HIPAA), security and audit. Develop points of view on emerging AI-at-scale topics with MathCo's innovation teams. What We're Looking For 10+ years in AI, machine learning, data or enterprise architecture, including 2+ years designing and shipping production GenAI / LLM applications. Hands-on experience building sophisticated AI applications with commercial and/or open-source foundation models. Strong knowledge of LLM application architecture, context engineering, knowledge graphs, retrieval and grounding, agentic AI and multi-step workflows, AI orchestration, and enterprise data integration. Working knowledge of lakehouse and data platforms (e.g., Databricks, Snowflake, BigQuery), semantic layers, metadata and catalogs. Working knowledge of evaluation, observability and LLMOps, AI cost optimization, and AI governance, privacy and security. Familiarity with leading model ecosystems (OpenAI, Anthropic, Google) and hyperscaler AI services Pre-sales, solutions engineering or consulting experience, including authoring and defending the technical sections of proposals and SOWs. Ability to explain why specific technical choices were made, to engineers and executives alike. Experience working with global delivery teams across time zones. Exposure to data and AI use cases in CPG, Retail or Life Sciences. What Will Differentiate You The strongest candidates will be able to demonstrate all three of the following: 1. Technical depth You understand the mechanics of modern AI systems deeply enough to engage with senior AI engineers, scientists and architects. 2. Architecture and implementation experience You can whiteboard an end-to-end AI architecture and explain how it would actually be implemented, including the decisions and trade-offs required to make it successful at enterprise scale. 3. Executive and client credibility You can take that same architecture into a client conversation and explain it in a way that builds confidence with both business and technical executives - including a value case a CFO would sign off on. What Success Looks Like You are the trusted technical voice on our AI data, context and scale engagements. Your proposal architectures are credible, clearly scoped and deliverable. The reference architectures, ROI models and demos you build are used across the team. You bring new points of view on operating AI at scale to our clients. Being a Mathemagician Embody MathCo's values of openness, ownership, and impact. Contribute actively to internal mentorship, innovation, and team development. Champion diversity, equity, and inclusion by valuing a variety of perspectives in problem-solving. Why Join Us? MathCo is recognized globally as a leader in enterprise AI and analytics: Leader in Generative AI Service Providers - PeMa Quadrant (AIMResearch) Named among North America's Inspiring Workplaces Accredited for Inclusive Practices - Great Place to Work Institute, India Recognized for DEIB Excellence - India's Best Workplaces for DEIB To learn more, visit

Solution Architect / Principal Consultant (NW / DC / Security) DETAILS Location: Remote Position Type: 6M+ Contract (w/ likely extensions) Hourly / Salary: to $90W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Solution Architect / Principal Engineer for a 6M+ Contract (w/ likely extensions) that is remote. The Solution Architect / Principal Engineer will lead the design and delivery of enterprise-scale network and security solutions for a large Fortune 10 environment. The Solution Architect / Principal Engineer will own technical strategy across data center, WAN/LAN, cloud, and hybrid infrastructures, guiding multiple concurrent initiatives while ensuring solutions align with business objectives, security standards, and enterprise architecture requirements. The Solution Architect / Principal Engineer will serve as the technical leader and escalation point for complex networking and security challenges, driving architecture decisions, overseeing engineering teams, and providing governance from design through deployment. The ideal Solution Architect / Principal Engineer will possess deep networking expertise, broad cross-domain architecture knowledge, and the ability to influence stakeholders while delivering large-scale transformation and modernization initiatives. Enterprise Network / Security Architecture - Leading Design of Scalable / Resilient / Secure Infrastructure Solutions Across Data Center / Campus / Cloud / Hybrid Environments Aligning with Long-Term Business / Technology Strategies Technical Leadership / Solution Governance - Providing Architectural Oversight Across Multiple Concurrent Initiatives via Design Standards / Technical Validation / Governance of Solution Delivery Stakeholder Engagement / Solution Alignment - Partnering with Infrastructure / Security / Cloud / Business Teams Translating Complex Requirements into Actionable Technical Solutions Building Consensus Across Technical / Executive Stakeholders Engineering Leadership / Mentorship - Guiding / Mentoring Network / Security Engineers via Delegation / Technical Reviews / Quality Assurance and Adherence to Architectural Standards Architecture Documentation / Design Reviews - Developing / Presenting High-Level / Detailed Solution Designs / Technical Roadmaps / Implementation Plans Leading Architecture Reviews / Executive Briefings Strategic Advisory / Escalation Leadership - Serving as Senior Escalation Point for Complex Infrastructure / Security Challenges via Risk Identification / Strategic Recommendations / Enterprise Technology Leadership JOB REQUIREMENTS Enterprise Infrastructure / Architecture Experience (9+ years) - Enterprise Infrastructure Experience Network Architect / Security Architect / Solution Architect / Principal Consultant (5+ years) Enterprise Network Architecture (expertise) - Designing / Implementing Enterprise Networking Solutions Across Data Center / Campus / WAN / LAN / SD-WAN / Hybrid Cloud Environments Network Security Architecture (strong architecture-level knowledge) - Next-Generation Firewalls / Network Segmentation / Zero Trust / Identity Integration / Security Policy Governance Architecture Documentation / Executive Advisory - Developing / Presenting High-Level Designs (HLDs) / Low-Level Designs (LLDs) / Technical Roadmaps / Executive Architecture Recommendations Program Leadership / Multi-Project Management - Leading Multiple Large-Scale Infrastructure / Security Initiatives Simultaneously Managing Priorities / Dependencies / Risks / Stakeholder Expectations Enterprise Networking Technologies (hands-on) - Industry-Leading Networking Platforms (Cisco / Arista / Palo Alto and Similar Technologies) Cloud Networking / Security - Applying Strong Understanding of Cloud Networking and Security Principles Across AWS / Azure / Hybrid Cloud Environments Technical Leadership / Governance - Providing Design Oversight / Mentorship / Implementation Governance / Quality Assurance for Engineering Teams Senior Escalation / Strategic Problem Solving - Serving as Senior Escalation Point for Complex Network / Security / Infrastructure Challenges Within Large Enterprise Environments Executive Communication / Influence - Excellent Communication / Presentation Skills Influencing Technical Teams / Business Stakeholders / Executive Leadership Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data driven insights are playing a critical role in delivering the best possible customer experience. We are seeking a Data Engineer who combines strong business acumen with hands on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads. Principal Duties and Responsibilities: Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams. Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud native toolsets Work with diverse datasets and technologies to understand cross system correlations, patterns, and data relationships Build, schedule, and monitor data pipeline orchestrations Implement automation to optimize compute and storage usage across the cloud data platform Develop and enhance end to end monitoring and observability capabilities for cloud based data platforms Support knowledge sharing, cross training, and onboarding activities for team members Provide clear and frequent updates to stakeholders on progress, risks, and deliverables Participate in daily Scrum standups and contribute to an agile development environment Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail. Minimum Requirements/Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering or data analytics. Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience. 2+ years of experience with Linux command line tools and scripting. 3+ years of Python development experience with expert level proficiency. 1+ year working with Big Data processing frameworks and tools. Hands on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery. Strong proficiency in SQL, Python, Linux shell scripting, and data modeling. Solid knowledge of data modeling techniques Ability to analyze source systems and transform data to meet target data model requirements. Experience working with large scale data warehouses (10+ TB) and high volume ETL/ELT workloads (50M+ records/day). Demonstrated experience delivering end to end technical solutions within enterprise BI/Data Warehousing environments. Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics. Experience migrating data of various formats (JSON, delimited files, APIs, real time feeds) into Google BigQuery is strongly preferred. Experience working in a Scrum/Agile environment and tools such as Jira. Nice to have: Experience working with a data science workbench or ML development environment. Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring) "Projected Salary Range: $95,000 - $118,500". 10% annual bonus opportunity This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Transportation Family Dollar

Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data driven insights are playing a critical role in delivering the best possible customer experience. We are seeking a Data Engineer who combines strong business acumen with hands on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads. Principal Duties and Responsibilities: Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams. Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud native toolsets Work with diverse datasets and technologies to understand cross system correlations, patterns, and data relationships Build, schedule, and monitor data pipeline orchestrations Implement automation to optimize compute and storage usage across the cloud data platform Develop and enhance end to end monitoring and observability capabilities for cloud based data platforms Support knowledge sharing, cross training, and onboarding activities for team members Provide clear and frequent updates to stakeholders on progress, risks, and deliverables Participate in daily Scrum standups and contribute to an agile development environment Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail. Minimum Requirements/Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of experience in data engineering or data analytics. Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience. 2+ years of experience with Linux command line tools and scripting. 3+ years of Python development experience with expert level proficiency. 1+ year working with Big Data processing frameworks and tools. Hands on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery. Strong proficiency in SQL, Python, Linux shell scripting, and data modeling. Solid knowledge of data modeling techniques Ability to analyze source systems and transform data to meet target data model requirements. Experience working with large scale data warehouses (10+ TB) and high volume ETL/ELT workloads (50M+ records/day). Demonstrated experience delivering end to end technical solutions within enterprise BI/Data Warehousing environments. Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics. Experience migrating data of various formats (JSON, delimited files, APIs, real time feeds) into Google BigQuery is strongly preferred. Experience working in a Scrum/Agile environment and tools such as Jira. Nice to have: Experience working with a data science workbench or ML development environment. Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring) "Projected Salary Range: $95,000 - $118,500". 10% annual bonus opportunity This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Transportation Family Dollar

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Charter is proud to have a network that provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network architecture and designs. Under limited supervision, this Principal Engineer position leads the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. This role is responsible for defining the technical direction of the enterprise data ecosystem, ensuring platform scalability, reliability, security, and operational excellence. The ideal candidate combines deep hands-on expertise in Hadoop administration with strong architecture leadership , cross-functional collaboration, and the ability to mentor engineering teams. How You'll Make an Impact Owns the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives infrastructure optimization across storage, compute, workload management, and job scheduling. Establishes best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning. Partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns. Troubleshoot complex platform, performance, and production stability issues across distributed systems. Lead root cause analysis and implement preventive measures to improve resiliency and service quality. Evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures. Mentor engineers and administrators, providing technical leadership across platform operations and engineering initiatives. Create and maintain platform documentation, operational runbooks, and architecture standards. Create and maintain data views, data exports and automated data processing. Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Master's or bachelor's degree in Engineering or related field or related work experience Experience 5+ years engineering work experience 5+ years project management work experience Skills Ability to read, write, speak and understand English Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols Basic knowledge in network design, network architecture, protocols and network topology Basic knowledge in TCP/IP and the OSI Model Basic knowledge in using ticketing and software tools to support the current operations Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio Ability to perform duties in a very fast-paced environment and ability to learn new technology quickly Ability to use personal computer and software applications Preferred Qualifications Education Cisco Certified Internetwork Expert (CCIE) Industry and vendor specific certifications and training preferred (Cisco, Juniper, Alcatel-Lucent, etc.) Skills Minimum four (4) years of software development experience using Python / Typescript Experience with Django/Flask/FastAPI Experience with Shell scripting, TCP/IP and networking concepts, system security best practices and system monitoring Capable of managing systems in a large scale, high availability, multi-site environment Experience working in DevOps practices and tools Experience with Hadoop and other database technologies, like Postgresql/MySQL, Splunk Experience with container technologies such as Docker, Kubernetes, etc. Other Industry and vendor specific certifications, training (Python, DevOps, Network Technologies) Advanced knowledge of network automation platforms and techniques Advanced knowledge of concurrent, parallel and asynchronous programming design and techniques Advanced knowledge of restful api design, operation and interaction Working knowledge of PEP8 programming practices Ability to read, understand and effectively convey RFC and IEEE standards and concepts EGN601 4 EGN601 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-11-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Imagine shaping the future of enterprise data infrastructure at Spectrum, where you'll architect and lead advanced data engineering solutions that drive business intelligence. As a Principal Data Architect I, you will be the subject matter expert, guiding multiple programs and systems, and delivering innovative strategies to elevate data management. Your expertise will directly enhance operational efficiency and empower decision-making across the organization. How You'll Make an Impact Architect and implement data structures, models, and movement infrastructures to support enterprise data warehousing and master data management Lead the deployment of data services and programming concepts, optimizing error handling, data manipulation, and I/O processing Design, enhance, monitor, and troubleshoot requirements and architecture specifications for data warehousing and processing systems Direct the Insights team to create and support comprehensive end-to-end data solutions across various platforms, domains, and locations Oversee development of ETL processes and solutions aligned with Spectrum standards, ensuring consistent and global data integration Mentor junior developers, vendors, consultants, and external partners to swiftly identify and resolve integration issues Diagnose complex data engineering challenges and implement optimal resolutions to deliver quality results Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree or equivalent experience Experience 8+ years of ETL experience 6+ years of experience with SQL, Shell Script, Python, JSON 5+ years of data integration experience 5+ years of experience with data visualization tools such as Tableau, Alterx, Microstrategy 5+ years of software engineering experience Skills Ability to read, write, speak, and understand English Extensive experience building use cases and supporting data scientists and engineers Extensive experience with data lake - all data sources - building out data sets for uses cases Expertise in building SQL/HIVE databases and tables Proficient in querying and designing efficient warehousing structures Deep knowledge of data access methods from relational databases using SQL Hands-on experience with web services (WSDL Soap, Restful) for accessing data from multiple source systems Strong understanding of FTP and sFTP protocols Advanced skills in designing and architecting complex ETL processing and warehousing solutions Effective written and verbal communication Strong analytical and troubleshooting abilities Preferred Qualifications Education Master's degree or equivalent experience with design, architecture, and leadership MPD639 9 MPD639 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-10-:47 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

AI Engineer 4 (Gen AI Platform Services: Agentic Systems) 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 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $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).

AI Engineer 4 (Gen AI Platform Services: Agentic Systems) 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 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $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 Title: Principal Agentic AI Architect Location: Charlotte, NC (Day 1 Onsite) Key Responsibilities Technical Leadership & Architecture Define and drive the long-term technology strategy for Financial Crime modernization initiatives. Lead the architecture and implementation of AI-powered investigation platforms, decisioning engines, and agentic workflows. Establish engineering standards, design patterns, and reference architectures across Financial Crime platforms. Serve as the highest-level technical reviewer for architecture, security, scalability, resiliency, and performance decisions. Lead technical design reviews and influence enterprise architecture direction. AI & Agentic Engineering Design and implement GenAI and Agentic AI solutions for: Investigator copilots Alert triage and disposition Risk assessment Entity resolution SAR narrative generation Customer screening Knowledge retrieval and decisioning Evaluate and implement modern AI frameworks, including LLM orchestration, agent frameworks, vector databases, RAG architectures, model routing, guardrails, and observability. Partner with Data Science teams to operationalize AI/ML models into scalable production platforms. Engineering Excellence Write and review high-quality production code when necessary. Lead proof-of-concepts, rapid prototyping, and technical spikes. Mentor senior engineers and establish software engineering best practices. Drive automation, CI/CD, DevSecOps, testing, and operational excellence. Resolve complex technical challenges across multiple platforms and teams. Platform Modernization Lead migration from legacy Financial Crime applications to cloud-native architectures. Architect scalable microservices, event-driven systems, and API-first platforms. Design enterprise capabilities for real-time risk assessment, customer screening, case management, regulatory reporting, AI orchestration, and data ingestion and processing. Drive modernization using cloud technologies and enterprise platforms. Stakeholder Partnerships Collaborate with Product, Compliance, Risk, Operations, Data Science, and Engineering leadership. Translate business needs into scalable technical solutions. Present architecture strategies and modernization roadmaps to senior technology executives. Required Qualifications 7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, or education. 7+ years of experience architecting, designing, and leading the delivery of large-scale solutions. 4+ years of experience presenting technology strategy and concepts to C-level executives and large audiences. 5+ years of experience delivering cloud-ready and cloud-native solutions. Desired Qualifications 2+ years of experience developing or deploying AI-powered tools, chatbots, LLM-based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication. 4+ years of experience in the Financial Services industry. Excellent verbal, written, and interpersonal communication skills. Ability to prioritize work, meet deadlines, achieve goals, and work under pressure. Strong analytical skills and ability to solve complex technical problems. NLB Services is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, sexual orientation and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. NLB Services provides reasonable accommodations during the recruitment process as required by law. Applicants requiring an accommodation due to a disability, pregnancy-related limitation, or sincerely held religious belief, practice or observance may contact their recruiter or email .

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. " This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. " General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG) 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. McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $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).