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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.

Job Description Job Description OVERVIEW Must be a US Citizen Estimated Duration: Ongoing W2 Position with full benefits The US base pay range for this part-time position is $150-170/hr + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. JOB DESCRIPTION We are seeking a highly experienced Chief Scientist Engineer to provide senior-level technical expertise and leadership in the development, evaluation, and implementation of space communications standards supporting NASA's Space Data Standards activities at Goddard Space Flight Center (GSFC). The successful candidate will support the Consultative Committee for Space Data Systems (CCSDS), with a primary focus on space link coding and synchronization, error correction coding, communications protocols, and advanced signal processing. This position requires extensive knowledge of space communications systems, international standards development, and collaboration with NASA, international space agencies, and technical working groups. REQUIRED SKILLS Advanced degree in Electrical Engineering, Communications Engineering, Aerospace Engineering, Computer Science, or a closely related technical discipline, or equivalent specialized experience. Extensive professional experience in space communications, telecommunications engineering, signal processing, or related technical disciplines. Demonstrated experience developing, reviewing, or contributing to CCSDS or comparable international space communications standards. Expert knowledge of error correction coding, channel coding, synchronization techniques, RF modulation, and digital communications systems. Strong understanding of space link protocols, communications architectures, and space data systems. Experience supporting technical standards development within multidisciplinary and international working groups. Detailed knowledge of NASA space communications infrastructure, including the Near-Earth Network (NEN), Space Network (SN), and Tracking and Data Relay Satellite System (TDRSS). Experience evaluating communications requirements for space missions and ground network systems. Proficiency in technical analysis, modeling, simulation, or software development supporting communications engineering. Demonstrated ability to develop technical documentation, standards proposals, and engineering recommendations. Excellent technical communication, analytical, and problem-solving skills. Ability to work independently and provide expert technical consultation to senior government stakeholders. DESIRED SKILLS Doctoral degree in Electrical Engineering, Communications Engineering, or a related discipline. Direct experience participating in CCSDS Space Link Services (SLS) working groups. Experience developing or modifying CCSDS standards for forward error correction (FEC) coding and synchronization. Familiarity with CCSDS 235.1, Space Communications Sessions Control, and communications protocols supporting lunar exploration interoperability. Experience collaborating with NASA, ESA, JAXA, or other international space agencies. Knowledge of advanced coding techniques, including Low-Density Parity-Check (LDPC) codes, turbo codes, and other modern error correction methodologies. Experience with MATLAB, Python, C/C++, or comparable engineering analysis and simulation tools. Familiarity with deep-space communications, lunar communications architectures, and emerging space networking technologies. Experience providing technical leadership in international standards development, technical reviews, or engineering advisory activities. Knowledge of NASA's Space Communications and Navigation (SCaN) Program and related communications infrastructure. Equal Opportunity/Affirmative Action Columbus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, marital status, age, national origin, veteran status, disability status, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, Columbus participates in the E-Verify Program to confirm eligibility to work in the United States.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the aviation programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 6+ years of experience in data engineering, data architecture, or software engineering with a focus on backend data systems. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing, scaling, and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, aviation, aerospace, or other mission-critical programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.

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

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).

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).

Job Description Job Description Role : Gen AI/Agentic AI Lead / AI Architect with GCP Location : Paramus, NJ 07652 (Onsite) Rate : 80 Hire Type (FTE/Contract): Contract Must have GCP and the Google AI stack (Vertex AI, Gemini). 1. Strong GCP ecosystem understanding - should know the data products and when to choose which product. 2. Past must be GCP Data Architect or Engineer 3. Present must be AI Architect - have strong hands-on experience on at least 1 AI project on GCP. We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions. The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and LLMOps, along with a proven track record of managing and directing AI engineering teams. This role requires strong technical leadership, strategic thinking, and the ability to drive AI innovation aligned with business objectives. Key Responsibilities 1. Define and drive the AI architecture strategy for enterprise-wide AI initiatives. 2. Design scalable and secure Generative AI, Agentic AI, and LLM-based solutions. 3. Lead the implementation of AI platforms, frameworks, and operational processes for LLMOps. 4. Establish best practices for model lifecycle management, monitoring, governance, and performance optimization. 5. Collaborate with business stakeholders to identify high-value AI use cases and develop solution roadmaps. 6. Provide technical leadership and mentorship to AI engineers, data scientists, and architects. 7. Oversee AI solution delivery, ensuring adherence to architecture standards, security, and compliance requirements. 8. Evaluate emerging AI technologies and recommend adoption strategies. 9. Drive innovation in autonomous AI systems, multi-agent frameworks, and enterprise AI transformation programs. Required Skills & Experience 12 years of overall IT experience with significant experience in Artificial Intelligence and Machine Learning. Strong expertise in: AI Architecture Generative AI (GenAI) Large Language Models (LLMs) LLMOps Agentic AI / Multi-Agent Systems AI Solution Design & Governance Experience building enterprise-grade AI applications using leading AI frameworks and platforms. Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies. Strong understanding of AI deployment, monitoring, observability, security, and responsible AI practices. Proven experience leading, managing, and mentoring AI engineering and data science teams. Ability to engage with executive stakeholders and translate business requirements into AI solutions. Preferred Qualifications Experience in Traditional Data Science and Machine Learning. Experience with Google Cloud Platform AI ecosystem. Hands-on experience with BigQuery ML (BQML). Knowledge of MLOps, Data Engineering, and cloud-native AI architectures. Experience implementing AI solutions in large enterprise environments. Leadership Requirements Demonstrated success in directing and managing AI teams. Experience leading cross-functional initiatives involving Data Scientists, AI Engineers, Architects, and Business Stakeholders. Strong communication, stakeholder management, and decision-making skills. Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Relevant AI/Cloud certifications are highly preferred. Nice to Have Experience with Google Vertex AI, Gemini, OpenAI, Anthropic Claude, or similar AI ecosystems. Experience with RAG (Retrieval-Augmented Generation) architectures. Exposure to Data Engineering platforms such as BigQuery, Databricks, Snowflake, or equivalent technologies. Experience implementing Responsible AI and AI Governance frameworks. Ideal Candidate Profile

Job Description Job Description Interviews: two internal rounds, one customer Experience: Minimum 12 years Job Description: About the Role We are looking for a Principal AI & Data Architect to define and lead our enterprise data and AI architecture. You will design a Snowflake-centric data platform with a strong semantic layer, and build the foundations for agentic AI systems that reason over trusted, governed enterprise data. You will be a hands-on technical leader, partnering with business, engineering, and security teams to turn data into reliable, AI-ready products. Key Responsibilities Data Architecture & Snowflake Platform Own the end-to-end architecture of the Snowflake Data Cloud: ingestion, storage, transformation, serving, and consumption. Design scalable, cost-efficient solutions using Snowflake features such as Snowpipe, Streams & Tasks, Dynamic Tables, Snowpark, Iceberg tables, Secure Data Sharing, and Marketplace. Define standards for performance tuning, warehouse sizing, clustering, and FinOps/cost governance. Lead modernization and migration from legacy platforms (Teradata, Oracle, Hadoop, SQL Server) to Snowflake. Semantic & Data Modeling Architect enterprise semantic layers, including business metrics, dimensions, hierarchies, and entity relationships. Design dimensional (Kimball), Data Vault 2.0, and canonical/domain models, and map them to the semantic layer. Implement Snowflake Semantic Views and Cortex Analyst semantic models, and integrate with tools like dbt Semantic Layer/MetricFlow, AtScale, Cube, or LookML. Establish ontologies, knowledge graphs, and business glossaries to ensure consistent meaning across the enterprise. Own metadata, lineage, and data contracts across domains (data mesh / data product approach). Agentic AI & GenAI Architecture Design agentic AI architectures: multi-agent orchestration, tool use, planning, memory, and guardrails. Build solutions on Snowflake Cortex (Cortex Agents, Cortex Analyst, Cortex Search, AI functions) and integrate with LLMs and frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI. Implement RAG and text-to-SQL patterns grounded in the semantic layer for accurate, explainable answers. Leverage MCP (Model Context Protocol) and API/tool integrations to expose governed data and actions to agents. Define LLMOps/AgentOps practices: evaluation, observability, prompt/version management, human-in-the-loop, and cost control. Establish Responsible AI practices covering bias, hallucination, privacy, and auditability. Governance, Security & Leadership Implement RBAC, row/column-level security, dynamic masking, tagging, and compliance controls (GDPR, HIPAA, SOC 2, PCI). Partner with data governance on quality, stewardship, and master data management. Provide architectural guidance, design reviews, and mentorship to data engineers, ML engineers, and analysts. Influence executive stakeholders; translate business needs into roadmaps and ROI-backed proposals. Evaluate emerging technologies and produce reference architectures, POCs, and best practices. Required Qualifications 12 years in data engineering, data architecture, or analytics, with 5 years in architect-level roles. 3 years of hands-on Snowflake architecture at enterprise scale (SnowPro Advanced: Architect preferred). Deep expertise in data modeling (3NF, dimensional, Data Vault) and semantic layer design. Proven delivery of GenAI/agentic AI solutions in production (RAG, tool-calling agents, multi-agent workflows). Strong SQL and Python; experience with dbt, Airflow/Dagster, Kafka, and CI/CD (Git, Terraform). Experience on at least one major cloud (AWS, Azure, or GCP). Solid understanding of data governance, security, and privacy frameworks. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications SnowPro Advanced certifications (Architect, Data Engineer, Data Scientist) and cloud architect certifications. Experience with knowledge graphs/ontologies (RDF/OWL, Neo4j) and graph-RAG. Experience with vector databases and embedding strategies. Background in MLOps and feature stores. Industry experience in BFSI / Healthcare / Retail / Manufacturing . Contributions to architecture blogs, talks, or open-source.

Job Description Job Description About florrent florrent is innovating to scale the next generation of high energy density supercapacitors. Our supercapacitors provide reliable power at every level of the grid at lower cost and reduced emissions compared to existing high-power solutions, all while embedding the valorization of agricultural waste streams into our products. florrent is growing our Massachusetts-based team, looking for scientists and engineers passionate about solving hard problems and delivering innovative solutions to address the world's growing power quality and decarbonization challenges. About the Culture At florrent, we are passionate about bringing the benefits of a decarbonized future to everyone. That passion drives everything we do, and how we do it. We are building a team propelled by ambitious goals, and committed to seeing them come to reality. To reach those goals, we need to stay connected to what motivates us, and always be real about the challenges ahead. If that sounds like you, let's talk! About the Job We are seeking a Field Applications Engineer to join our tight-knit and cross-functional team at florrent, supporting customer deployments of supercapacitor systems. A qualified candidate will have experience in diagnosing and resolving field issues with power electronics and/or energy storage deployments and in providing direct technical support to customers, as well as providing pre- and post-sale technical support to all sales and business development functions. As a Field Applications Engineer at florrent, you will report directly to florrent's CEO, work with customers to solve problems, and help to synthesize learnings from the field into product and process improvements. You will be responsible for providing on-site and remote technical support to customers, creating and maintaining technical documentation relevant to florrent products, and assist with design and installation of florrent ultracapacitors. In moving from pilot to scaled deployment, you'll work with stakeholders both inside and outside florrent to optimize installation and support processes for customer success and company growth into industries and markets where ultracapacitors can have outsized impacts on power system stability and resiliency. Responsibilities florrent is looking for a Field Applications Engineer to drive growth and impact, working directly with customers to deploy and maintain ultracapacitor energy storage. In this role, you will Provide on-site and remote technical support to customers, assisting with product installation, configuration, and troubleshooting. Develop in-depth knowledge of products, integration processes, and deployment solutions Conduct product demonstrations and training sessions to educate customers on product capabilities and best practices. Diagnose and resolve technical issues promptly, collaborating with internal engineering and support teams as needed. Create and maintain technical documentation, including installation guides and troubleshooting procedures. Gather, organize, collate, and present customer feedback and insights to guide product improvements and enhancements. Keep yourself and other members of the team updated about relevant standards and industry best practices Work in a cross-functional team with engineers from other disciplines; participate closely in product design iteration. Qualifications Don't have all of the qualifications listed below? That's okay, we still want to hear from you if think there's good alignment between you and florrent! Bachelor's or Master's in Mechanical Engineering, Electrical Engineering, or related field 5+ years experience in a technical role, such as application engineering, power engineering, electrical engineering, or related positions Experience analyzing and drafting single-line diagrams Experience working with power electronics in high-voltage systems Strong technical proficiency in deployment and maintenance of energy storage systems Strong understanding of cGMP and OSHA regulations Experience working within a QMS (e.g. an ISO-9001 environment) Good self-management and willingness to meet challenges and grow through them Effective communication skills, both verbal and written, with the ability to convey complex technical information to non-technical audiences Customer-centric mindset Ability to work independently and collaboratively Ability and openness to travel to customer sites (20-40% travel) Why Join Us? You'll be building a global business that brings sustainable technologies to life. Join a mission-driven team where your engineering expertise and practical skills are equally valued in the creation of scalable, real-world solutions.

Job Description Job Description Key Responsibilities Design and maintain conceptual, logical, and physical data models for both transactional (OLTP) and analytical (OLAP) systems. Develop data models aligned to insurance domains including policy lifecycle (quote, issue, servicing), coverages, premiums, billing, and claims. Create and deliver data mapping specifications and transformation logic for large-scale reporting and integration platforms. Define and enforce data modeling standards, naming conventions, and best practices across the organization. Partner with Product Owners, Data Architects, Engineers, and Business stakeholders to translate requirements into robust data solutions. Design canonical and enterprise data models to promote data consistency, reuse, and interoperability across systems. Ensure data quality, integrity, and lineage are maintained throughout the data lifecycle. Guide engineering teams in assembling large, complex datasets that meet functional and non-functional requirements. Optimize data structures for performance, scalability, and maintainability. Contribute to data governance efforts, including metadata management, lineage documentation, and stewardship. Identify opportunities to modernize legacy data models and drive innovation in design approaches. Support Agile delivery by actively participating in sprint planning, design reviews, and backlog refinement. The Expertise Required Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, Information Systems, or a related field. 8 years of experience in data modeling, database design, or data architecture. Strong hands-on experience with: Relational databases (Oracle, PostgreSQL, MySQL) SQL development and performance tuning Data modeling methodologies (Normalization, Kimball, Inmon) Proven experience working with: Policy Administration Systems (OIPA preferred, or Guidewire/Duck Creek) Highly transactional (OLTP) environments Expertise in designing: Dimensional models (Star/Snowflake schemas) Normalized operational models Canonical / enterprise data models Experience with data modeling tools such as Erwin, SAP PowerDesigner, Hackolade, or equivalent. Strong understanding of: Data lifecycle (creation to consumption) Data integration patterns (ETL/ELT) Data warehousing and operational data stores (ODS) Nice-to-Have Qualifications Experience with Insurance Domain Modeling. Experience with cloud-native data platforms such as Snowflake, Azure Synapse, or AWS Redshift. Exposure data lakes and lakehouse architectures. Familiarity with data governance frameworks, data lineage, and metadata tools. Experience supporting Data Science / ML teams, including feature engineering concepts. Knowledge of insurance regulatory and reporting requirements. Experience working with large-scale enterprise data ecosystems. The Necessary Skills Excellent communication skills including written, verbal, and technology illustrations. The desire and aptitude for learning new technologies to solve problems and formulate recommendations. A proven track record of working in reciprocal teams to deliver high quality data solutions in an agile environment. A fearless approach to challenge the legacy design and seek opportunities to design better models and better code. A passion for data analysis with the ability to navigate and master complex transactional and warehouse databases. A love working with data and are confident in your SQL skills. Technically adept in learning new technologies and architectural methodologies and adapting our practices to support frequent changes in the technical environment. A strong interest in playing a technical data steward role and across our business and technology partners to understand and detail our data, appropriate data usages and helping BU derive the maximum value from its data. The ability to take a broad view of data from creation to consumption and understand how data design patterns affect data quality and the ability of users to easily consume data. Experience with cloud native data warehousing and data lake solutions using Snowflake is a plus. Exposure to working with a Data Scientist team and knowledge of Feature Engineering is a plus. Experience of database design through the full development lifecycle is a plus: from requirements to conceptual, logical and physical data model design and implementation. The Value Delivered Key participant in helping to build a Data Driven Culture. Designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logic Completing research to identify effective data designs, new tools and methodologies for data analysis. Collaborating with DBAs, architects, and subject area owners to create scalable data models. Gathering and incorporating feedback from Product Owners, Data Architects, and Data Engineers to aid in the design of the product. Guiding engineers in the best approach to assembling large, complex data sets that meet functional / non-functional business requirements. Being candid and honest in all discussions to ensure the best outcomes. Driving innovation and experimentation within the data organization.

Job Description Job Description Job Title: SME Network Autonomy Duration- Fulltime Permanent Location: Atlanta, GA - Remote Job Description:- Skills: Autonomous Networks Infrastructure as Code Digital Twins for network Network as a Service (NaaS), API Engineering, API driven Networks Data models (YANG, JSON, gNMI) Closed Loop Automation BGP, OSPF, MPLS, VXLAN, and SD WAN CI/CD, DevOps Python (preferred), Go, or C TensorFlow or PyTorch Must Have Technical/Functional Skills Networking Expertise Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN Experience operating and troubleshooting carrier grade or hyperscale networks AI/ML & GenAI Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection) Familiarity with ML frameworks such as TensorFlow or PyTorch Software & Automation Expert proficiency in Python (preferred), Go, or C Strong experience with CI/CD pipelines and DevOps practices Extensive use of Ansible and Terraform for network automation Cloud Native Networking Experience managing network functions in Kubernetes environments (CNI plugins) Hands on exposure to public cloud networking across AWS, Azure, and GCP. Roles & Responsibilities The Senior Network Autonomy Lead will define and execute the vision for next generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats. You will lead cross functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi vendor and hybrid environments. Generic Managerial Skills, If any Strategic Vision & Roadmap Define and own a multi year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5 Drive the organizational transition from Infrastructure as Code (IaC) to Intent Based Networking (IBN) Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency 2. Technical & Architecture Leadership Architect and oversee AI/ML driven platforms for predictive maintenance, anomaly detection, and root cause analysis Lead the design and implementation of closed loop automation systems where networks observe, decide, and act without human intervention Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi vendor domains Ensure scalability, resilience, and security of autonomous control loops in production environments 3. Cross Functional Leadership Lead and mentor senior engineers, architects, and data scientist Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack Influence product, procurement, and vendor ecosystems to align with the autonomy vision

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Principal Data Scientist for a direct hire opportunity with one of our premier clients in Oshkosh, WI or New Hudson, MI. The Data Science Lead serves as a hands-on technical leader who bridges business strategy, advanced analytics, and AI-driven innovation to deliver high-impact solutions across the organization. This individual contributor role requires 5 years of experience leading end-to-end data science initiatives, partnering directly with business stakeholders, and translating complex business challenges into scalable machine learning, predictive analytics, and Generative AI solutions. The ideal candidate combines strong technical expertise in Python, SQL, cloud platforms, and modern AI/LLM technologies with the ability to independently architect, deploy, and support production-ready solutions. Data Science Lead collaborates closely with executive leadership, operations, product teams, and IT partners to define AI roadmaps, drive adoption, establish technical standards, and deliver measurable business value through data-driven decision making. Core requirements 5 years of experience; 6 years may be appropriate , according to the manager. The same core profile as R50808: AI-savvy and business-savvy, with strong business relationships and experience working directly with business stakeholders not solely back-end development. Ability to manage work end to end and personally deploy and deliver the solution. Shared considerations Both roles are individual-contributor positions , not manager roles. The manager is open to candidates who began in a business function or as a business analyst and later moved into IT, analytics, or data science, as well as candidates from consulting. The roles are described as hybrid: 3 days onsite and 2 remote , based in Oshkosh, Wisconsin, or New Hudson, Michigan . Relocation is acceptable if the candidate is willing to relocate; the manager said these are not commuting positions. Mentoring and executive-level communication are more central to the Principal role than to the Lead role. SUMMARY The Data Science Lead serves at the vital intersection of enterprise business strategy, machine learning innovation, and technical delivery. In this role, you will lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and artificial intelligence solutions across key business units. Technical Leadership & Solution Architecture End-to-End Delivery: Architect, build, and deploy production-grade machine learning models, statistical frameworks, and Generative AI/LLM applications (e.g., RAG architectures, intelligent agents, and fine-tuned models). Engineering Standards: Establish best-in-class coding, testing, evaluation, and documentation standards across the team. Conduct regular code and architecture reviews. Production MLOps: Partner closely with Data Engineering and DevOps teams to establish robust CI/CD pipelines, automated model monitoring, feature stores, data drift detection, and automated retraining workflows. Research & Innovation: Stay abreast of state-of-the-art developments in AI/ML, evaluating emerging methodologies, tools, and frameworks to accelerate organizational capabilities. Strategy, Road mapping & Stakeholder Management Business Translation: Collaborate closely with executive leadership, product managers, operations, and commercial leaders to translate complex business challenges into actionable data science initiatives. Strategic Roadmap: Define and prioritize the enterprise AI and analytics roadmap, aligning project timelines, milestones, and deliverables with core business objectives. Value Realization & Communication: Articulate complex algorithmic methodologies and quantitative findings in clear, non-technical language to executive stakeholders, driving adoption and demonstrable business impact. Governance & Ethical AI: Champion data integrity, security, model explainability, algorithmic fairness, and compliance with organizational policies and international AI safety standards. People Leadership & Team Development Mentorship & Coaching: Lead, coach, and support junior and mid-level data scientists, nurturing individual career trajectories, continuous learning, and technical mastery. Agile Project Execution: Foster an agile, delivery-focused sprint cadence, balancing exploratory research with strict milestone deadlines and business commitments. Culture & Community: Cultivate an inclusive, collaborative culture that celebrates technical curiosity, innovation, and knowledge-sharing across cross-functional units. Education & Professional Experience Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline (or equivalent practical experience). Minimum of 6 years of professional experience in data science, predictive modeling, or machine learning engineering. Technical Expertise Expert proficiency in Python (including NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL. Strong hands-on experience building supervised/unsupervised learning pipelines, deep learning models, natural language processing (NLP), and modern Large Language Model (LLM) architectures. Proven track record utilizing enterprise cloud ecosystems (AWS, Azure, or GCP) and distributed compute systems (Databricks, Snowflake, Apache Spark). Demonstrated familiarity with model tracking, containerization, and orchestration platforms (e.g., MLflow, Docker, Kubernetes, Kubeflow, Airflow). Proficiency in presenting findings via business intelligence and visualization tools (e.g., Power BI, Streamlit). Soft Skills & Core Competencies Strategic Thinking: Ability to see the bigger picture, connecting data capabilities to long-term business strategy. Outstanding verbal and written communication skills with the capability to influence senior leadership. Pragmatism & Value Orientation: Focus on business utility, avoiding over-engineering in favor of reliable, interpretable, and maintainable solutions. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Director AI Engineer 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Director AI Engineer 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5+ years of experience managing and leading an engineering team 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Emerging Tech (Physical AI, Robotics and Supply Chain) Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives-with a specialized focus on Physical AI, robotics, simulation, and supply chain transformation including warehousing and assembly/production line environments. You'll drive customer success by providing technical expertise and best practices throughout the project lifecycle. You have built a deep solutions implementation and delivery understanding of Physical AI's building blocks-AI for Automation, digital twin, robotics, edge solutions, simulation, and autonomous systems-as well as supply chain technologies. Proficient in architecting and deploying autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS, you'll provide a secure, reliable, and scalable Physical AI infrastructure for innovation by our customers. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Architecting and delivering Physical AI solutions on AWS-including digital twin environments, discrete event simulation, robotic policy training pipelines, edge inference, and autonomous system deployments for manufacturing, logistics, and warehousing customers - Engaging with customers end-to-end: from pre-sales discovery and requirements gathering through solution design, implementation, testing, and production handoff - Designing and implementing simulation and synthetic data pipelines using tools such as NVIDIA Omniverse, Isaac Sim, and AWS-native services (SageMaker, IoT, Greengrass, VAMS) to train and validate robotic and autonomous systems - Providing subject matter expertise on warehousing, fulfillment, and production line transformation-conducting on-site assessments, identifying automation opportunities, and building customer trust through demonstrated domain knowledge - Developing packaged offerings, reusable delivery accelerators, reference architectures, and training materials in the supply chain and Physical AI space to support delivery teams and go-to-market motions A day in the life This team partners with our customers to increase their shareholder value and assist in disrupting their business models. We enable our customers to drive competitive advantage by enhancing their digital capabilities that will enable them to innovate on new products and services. Our key focus areas include: Emerging technologies including supply chain innovation, high-performance computing (HPC), quantum computing, spatial computing, robotics, blockchain, IoT, end-user computing, media solutions, and other innovative technologies that represent strategic innovation areas for our customers. About the team You'll join the ProServe Emerging Tech practice, a team focused on helping customers across manufacturing, logistics, and supply chain industries adopt Physical AI, robotics, and simulation technologies on AWS. We work directly with customers to solve real-world automation problems-from warehouse optimization to production line transformation-and you'll collaborate with cross-functional teams including solution architects, data scientists, and partner engineers. Our team values hands-on builders who are curious about the intersection of physical and digital systems, and we're committed to creating an environment where every team member can grow, contribute, and innovate. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 10046 BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of cloud architecture and solution implementation experience - Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - 7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments - 3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment PREFERRED QUALIFICATIONS- Experience communicating technical concepts to a non-technical audience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field - Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment - Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation - Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental . click apply for full job details

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and-most importantly-safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers and are excited for what's to come. If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Check out more information about Prime Air on the About Amazon blog: Amazon Prime Air (PA) is seeking a Product Support Engineering (PSO) Service Engineer to drive integration with the Amazon fulfillment networks and investigate issues to drive improved reliability within our ultra-fast drone delivery operations. This role will be responsible for ensuring a high degree of technical reliability within drone operation for Amazon fulfillment networks, working closely with design engineering staff and powering a flywheel of continuous improvement in the drone system. Partnering with the drone system operations and various engineering disciplines, you will provide engineering analyses and solutions to improve the system reliability and performance. A successful candidate will leverage data-driven insights to identify opportunities and lead implementation of system improvements. This role is a core member of the Product Support Organization (PSO) Engineering team, serving as a the first line liaison between operator/maintainer experiences and design engineering improvements or mitigations. In this position, you will bring a unique perspective informed by direct operational data and customer feedback to spearhead system improvements, and address engineering problems discovered in the field. Strong cross-functional engineering fundamentals (mechanical, electrical, software development basics) skills are essential, as well as strong technical communication and documentation skills. Your ability to translate complex system functions into digestible insights and summarize effectively with stakeholders at all levels will be critical to success in this role. This position may require a deemed export control authorization for compliance with applicable laws and regulations. Placement is contingent on Amazon's ability to apply for and obtain an export control license on your behalf. Key job responsibilities - Investigate drone system performance for anomalies, deliver solutions to operations and maintenance team escalations - Lead cross-functional system investigations with engineering, maintenance, and operations teams to optimize drone system performance metrics, and drive improvements - Develop innovative hardware designs for our emerging drone systems and improve existing hardware to optimize performance and enhance customer experience - Drive continuous improvement initiatives using data-driven insights to establish benchmark standards and reduce operational burdens - Work with the Operations, Manufacturing, Supply Chain and Quality organizations as well as vendors to ensure a smooth product launch and sustaining - Develop and maintain documentation for technical procedures - Communicate effectively across all organizational levels, presenting strategies and results to senior leadership and operational partners BASIC QUALIFICATIONS- Bachelor's degree in mechanical engineering or equivalent - 7+ years of engineering experience - Experience in the design of complex mechanical products and equipment at volume PREFERRED QUALIFICATIONS- Master's degree in mechanical engineering or equivalent - Experience in a fast paced, dynamic organization - Experience communicating technical concepts and processes using clear, simple language and visuals - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Hands on experience crafting proof-of-concept models and prototypes - Experience with full product lifecycle and proficiency at completing tasks to meet milestones - CATIA or similar CAD experience, understanding of best practices for part design, advanced assemblies and complex configuration management - Experience in the design, testing, and sustaining of mechanical equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 137 700.00 USD annually