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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description ORSA Kalman & Company is seeking a highly motivated, performance driven individual with strong ORSA experience to work closely with our Federal and DoW clients. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the ability to principally contribute to several of the largest and most significant studies in Kalman's portfolio. As part of the Business Analytics Team, you'll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoW. A career with Kalman & Company, Inc. is both rewarding and challenging. Our clients require skilled, hardworking, innovative professionals who can meet the demands of a dynamic and fast-paced workplace. As a Kalman Analyst, you will collaborate with military leaders, engineers, developers, technicians, logisticians, and financial managers to collect, analyze, and communicate information that helps ensure the success of programs critical to the United States DoW and our allies. Benefits Engage with motivated and highly skilled teammates to solve the government's most challenging analytics problems by decision analyses for military and civilian leaders Support the Business Analytics team via a flexible working structure that balances each employee's lifestyle while providing opportunities for in-person client and team engagement Join a diverse, inclusive, and growing team that fosters a supportive and encouraging environment to explore a variety of unique projects and clients for career success and fulfillment. Take advantage of a competitive salary along with a generous benefits package and paid opportunities for learning and professional development as well as on-the-job training and growth Duties/Responsibilities: Lead the development of analytical products that support the acquisition and sustainment of priority DoW capabilities Interpret data and analyze results using statistical techniques to produce as-needed reports to meet client and/or business needs Coordinate with a variety of stakeholders (senior government leadership, competency leads, etc.) to collect and communication information to help ensure the success of priority programs Proactively integrate new technologies for more advanced analytics and automate business processes including and not limited to Power Flow, PowerApps, AI, and Machine Learning Work directly with stakeholders to understand their requirements and apply data analytics tools and methods to streamline monthly, quarterly, and annual deliverables Develop reports and data visualizations using Access, Excel, Power BI, PowerPoint, and/or Word Develop and manage organization-wide business intelligence solutions Document data profiling and quality assurance results, data dictionaries, and analytical findings Identify, validate, cleanse, and normalize data to create predictive models and trend analyses Collaborate with colleagues to define data collection strategies and establish data frameworks Required Education/Qualifications: US Citizenship Active Secret Security Clearance or ability to obtain a Secret Security Clearance Bachelor's degree in a Quantitative Field (Mathematics, Statistics, Economics, Analytics, Computer Science, etc.) More than five years overall experience, primarily related to data analytics, workforce planning, or manpower Applied experience providing ORSA support to DoW (preferably with the USMC or DHS). Experience supporting DoW decision analysis efforts (Business Case Analyses, Analyses of Alternatives, etc.) and knowledge of DoW acquisition, financial, and PPBE processes Strong quantitative skills with ability to critically analyze client requirements, disparate collections of datasets and market intelligence and synthesize all inputs in into coherent, insightful cost deliverables, findings, and recommendations Strong analytical, interpersonal, and presentation skills and the ability to contribute effectively to working groups through oral and written communication. Comprehensive understanding of current principles, practices, and techniques of Systems Analysis, Business Analysis, and Business Intelligence. Produce and enhance reports and dashboards. Skilled in using data analytics tools such as Access, Excel, Power BI, Tableau, etc. Ability to communicate effectively both orally and in writing Preferred Education/Qualifications Experience developing data models in Power BI and managing distributed reports, dashboards, and apps in Power BI Service Experience with current computing technologies and software applications such as specialized Business Intelligence software, SQL, Microsoft SQL Server, Oracle, Access, SharePoint, and other database applications

AI Engineer 4 (AI Foundations, VLM Customization) 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 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 (AI Foundations, VLM Customization) 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 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).

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar

Job Description Summary of Position Lead the implementation of the quality department digital HEDIS strategy under the quality measurement analytics team. Lead efforts to continually improve data capabilities and quality of department analysis and reporting. Develop and implement automation of manual reporting and analysis of business implications and trends. Develop, automate, and manage the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making. Principal Accountabilities Develop, implement, and manage reporting and reconciliation workflows and document processes. Lead medical trend studies as they pertain to quality initiatives. Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues. Collaborate with IT and others to plan and execute digital readiness, including readiness for FHIR. Engage with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc). Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department. Lead the development of complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations. Develop and maintain automated quality dashboards and measure profiles utilizing data visualization tools. Provide analytical and technical guidance for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department. Identify and analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating. Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis. Collaborate with internal quality management teams to assist on quality improvement initiatives. Qualifications Bachelor's Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fields Master's Degree preferred 5 - 8+ years of relevant, professional work experience (Required) 5+ years of experience in managed care/healthcare analytics (Required) Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required) Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required) Advanced experience with relational database applications (such as SAS, R, SQL, or others). (Required) Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required) Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred) Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required) Strong communication skills (verbal, written, presentation, interpersonal) (Required) Demonstrated self-starter with ability to develop projects end to end independently (Required)

AI Engineer 5 (AI Foundations) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 5 (AI Foundations) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Job Description Job Description Anti-Tamper - Subject Matter Expert (AT SME) Location: Beavercreek, OH (Hybrid Option) Eligibility: US Citizen Clearance: Secret clearance required. Ability to obtain Top Secret clearance. Verification: Successful Full Scope Background Check Required. Position: Principal Engineer / Senior Engineer / SME III / SME II / SME I Description: TECHFORGE Solutions, a TECHFORGE company, is looking for an experienced Anti-Tamper (AT) and Trusted/Secure Export Subject Matter Expert (SME) to join our team in the Dayton, OH office. You will take complete, end-to-end ownership of technical interactions with commercial clients, USG program offices, and weapon and sensor system manufacturers in technical interchange meetings and Program Protection reviews to achieve a technically acceptable Anti-Tamper implementation. You will lead the analysis of systems and export programs, conduct vulnerability analyses of system level implementations and architectures, as well as develop and review Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes to provide technical written feedback, evaluations, and guidance to USG programs and commercial clients. You will evaluate protection methodologies and devices used to prevent exploitation of US system technology alone or with a team of engineers. You will participate in the verification testing of anti-tamper protection treatments and implementations. You will produce test reports on protected systems of interest and develop/apply your skills in circumventing AT protection techniques to better harden customer systems. The ideal candidate must be self-motivated and explore alternatives for quickly prototyping to validate hypothetical architectures or solutions. They must be passionate about protecting customer systems from exploitation. Responsibilities: The AT SME will serve as the senior consultant working directly with the client's team of hardware and software subject matter experts (SME), the program Technical Lead, and the client Program Manager to support various project-specific research scope and deliverables providing value to our customers. You will also contribute to the growth of both our government customer and internal R&D capability to help advance Anti-Tamper and Trusted / Secure Export technologies. Analyze systems design documents and develop recommendations to improve the security of electro-mechanical systems and integrated electrical components within mechanical systems. Lead the analysis of systems and export programs, conduct vulnerability analyses of system level implementations and architectures. Develop and review Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes to provide technical written feedback, evaluations, and guidance to USG programs and commercial clients. Evaluate protection methodologies and devices used to prevent exploitation of US system technology alone or with a team of engineers. Participate in the verification testing of anti-tamper protection treatments and implementations. Produce test reports on protected systems of interest and apply your skills in circumventing AT protection techniques to better harden customer systems. Ensure designs meet security specifications, industry standards, and internal customer requirements. Analyze prototypes of electro-mechanical systems and conduct thorough security testing to ensure functionality, reliability, and performance. Identify areas for improvement and optimize designs based on test results. Work closely with electrical engineers and mechanical engineers to ensure smooth integration of security recommendations for electrical and mechanical components, ensuring compatibility and optimal performance. Provide support for troubleshooting and resolving technical issues that arise during the manufacturing or testing phase. Identify opportunities to improve product designs and manufacturing processes to improve systems security. Recommend and implement changes that enhance product security, reliability, efficiency, and performance. Prepare detailed engineering documentation, including schematics, wiring diagrams, specifications, and user manuals related to anti-tamper implementation. Create reports to communicate findings and design progress to management and clients. Collaborate with cross-functional teams, including production, quality assurance, and product management, to ensure the successful development and manufacturing of electro-mechanical systems security. Ensure that designs comply with relevant industry standards, codes, and safety regulations. Provide technical support and guidance to the production team during the assembly, testing, and installation of electro-mechanical systems. Offer training and troubleshooting assistance when needed. As a TECHFORGE team member, the AT SME will work alone or on a team within an AGILE system / product development life cycle, supporting activities which include requirements creation, sprint planning, and grooming, etc. to collaborate across time zones via MS Teams collaboration tools, and frequent video conferences. Some travel will be required to meet with the remote engineering and software development teams. Travel: The role will be hybrid with some remote work options available; but, will require frequent time in the office and secure environments with clients and team members in Beavercreek, OH, as well as some travel out of state as necessary for team & client meetings, and/or presentations. Requirements: All candidates must be U.S. Citizens. All candidates must pass a background check. Must have active (or recently inactive) Secret clearance to start. The ability to obtain a Top Secret security clearance is also required, if needed. Must be able to travel up to 10% (CONUS) as needed. Excellent oral and written communication skills. Ability to work in a remote, collaborative, team environment. Experience with remote collaboration tools (e.g., Teams, WebEx, Meet, Zoom, etc.). Perform other related duties as assigned. Required Skills: Must possesses the capability to organize plans and programs specifying the nature and sequence of actions to be accomplished in a specific project. Must possesses 3+ years of professional experience in Systems integration/systems level engineering experience with DOD weapons or sensor systems, including electronic design, analysis or system test or system integration. Familiar with electronic components found in modern systems, including Integrated Circuit, FPGAs and ASIC technologies. Knowledgeable of protection features and devices. Familiarity with DOD 5000 series, DOD 5200 series, Defense Acquisition policy, and Horizontal Protection of DoD Critical Program Information. Knowledgeable of system development processes and system level testing. Experience with Model-Based Systems Engineering (MBSE) tools and techniques. Experience recommending and implementing changes that enhance product security, reliability, efficiency, and performance. Experience identifying areas for improvement and optimization of designs based on test results. Experience engaging groups across the government microelectronics space and anti-tamper organizations to support technical roadmaps for technology trade space and selection. Willing to learn the associated tools for tasking, planning, researching and data routing as applied within the scope of the program. Experience supporting the development of Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes, and other project documentation. Excellent analytical, critical thinking and problem-solving skills. Excellent verbal communication skills, comfortable interacting with technical peers and the ability to work as part of a team required. Ability to communicate technical issues clearly and effectively and execute assignments with little supervision and actively participate in a collaborative team environment. Proficient technical writing skills and the ability to produce reports and presentations. Ability to generate and evaluate technical documents and reports. Ability to create technical briefings and materials and effectively present technical material to both technical and non-technical stakeholders. Willing to travel to CONUS and/or OCONUS work locations 2-4 times per year. Minimum Education: Bachelor's degree in Physics, Engineering Physics, Computer Science, Computer Engineering, Electro-Mechanical Engineering, Electrical Engineering, Mechanical Engineering, or similar field and at least 8 years of related experience; or 5 years of professional experience with a Masters, or 3 or more years professional experience with a PhD. Desired Skills: Knowledgeable of system development processes and system level testing a plus. Microelectronics/Embedded Systems security experience such as Defensive Cyber or Anti-Tamper. Experience in FPGA or ASIC development including requirements definition, design, simulation, implementation, tape out, and testing. Proficient in Hardware Description Languages (HDL) such as VHDL or Verilog and associated software tools. Proficient in embedded software development, debug . click apply for full job details

Job Description Job Description MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2. Network Architect Pay rate: $86.53 - $91.35 per hr during the initial six-month term. $210K-$225K annually upon conversion. This role is the principal network designer and highest-level engineering escalation resource, responsible for leading network modernization initiatives across complex, mission-critical environments. This role provides technical leadership, ensures engineering continuity, supports operational requirements, and maintains the integrity and evolution of the approved network architecture and engineering baseline. Work Location: Completely on-site in Honolulu, HI, Monday - Friday, 7:00 am to 6:00 pm (HT), based upon the needs and direction of the customer. Travel: 40% Basic Required Qualifications and Skills: Must possess an active Cisco CCIE Enterprise Infrastructure or CCIE Security certification at start date. Minimum 15 years of progressively responsible network engineering experience, including at least 7 years as a senior architect, chief engineer, technical lead, or comparable authority in complex DoD or national-security environments. Bachelor's degree from an accredited institution in network engineering, computer science, information systems, electrical engineering, cybersecurity, or a closely related discipline. Expert knowledge of: Enterprise routing and switching, BGP, OSPF, MPLS, multicast, VRF / VLAN segmentation, QoS, firewalls, SDN, WAN transport, encryption, network management, monitoring, high availability, and PACE communications planning. Demonstrated design experience with: Large classified and unclassified DoD networks, including NIPR and SIPR and relevant experience with JWICS, MPE / CENTRIX, CSfC, Type 1 encryption, or CDS interfaces. Demonstrated ability to lead senior engineers, enforce technical standards, resolve complex incidents, explain technical risk to senior leaders, and work effectively across multiple locations and time zones. Working knowledge of DoD architecture, RMF, Zero Trust, STIGs, vulnerability management, configuration and change control, site integration, testing, operational acceptance, and sustainment. Ability to brief general officers, senior Government civilians, program executives, and nontechnical stakeholders clearly and to distinguish validated requirements from assumptions, proposals, risks, and pending Government decisions. Excellent written and oral communication skills addressing senior executive leaders and General Officers. Able to work both independently and collaboratively, prioritizing tasks as Pursuant to a government contract, this specific position requires U.S. Citizenship. All applicants must have current DoD TS/SCI clearance eligibility day one and prior to entry on duty. Desired Qualifications and Skills: It is desirable that the candidate have the following qualifications: Master's degree, from an accredited institution in network engineering, computer science, information systems, electrical engineering, cybersecurity, or a closely related discipline. 20+ years of progressively responsible network engineering experience, or comparable authority in complex DoD or national-security environments. Other relevant certifications such as ITIL, PMP etc. in ACTIVE status. Essential Duties and Responsibilities: This position will include, but is not limited to, the following tasks: Design and maintain the integrated enterprise network architecture supporting distributed command, mission, and sustainment requirements across Hawaii, the Pacific, Alaska, Japan / Okinawa, and Government-directed CONUS locations. Translate operational needs into enterprise, logical, physical, cybersecurity, data-flow, and operations architectures that remain synchronized and traceable. Own the network technical baseline, including routing, switching, segmentation, QoS, firewalls, encryption, WAN and SDN design, PACE transport, management, monitoring, and high-availability patterns. Develop and approve network designs, engineering implementation plans, IP and routing plans, bills of material, configurations, rack elevations, cable schedules, interface records, cutover plans, rollback plans, and as-built packages. Ensure HMR or another Government-selected pilot becomes a validated reference design that can be reused through controlled, Government-approved site differences rather than independent redesigns. Serve as the senior engineer for Tier 3 and Tier 4 routing, switching, transport, security-boundary, interoperability, latency, QoS, failover, performance, and service-restoration issues. Provide technical direction and mentoring to network engineers assigned to designs, installations, cutovers, incidents, and corrective actions. Review engineering work for technical accuracy, interoperability, cybersecurity impact, supportability, configuration control, and compliance with the approved baseline before Government submission or implementation. Lead root-cause analysis for recurring or mission-significant technical problems and establish corrective actions that can be applied across affected sites. Advise the Regional Program Manager and Operations Officer when a project is technically ready to proceed, requires modification, or should be paused because an unresolved issue creates unacceptable mission, cyber, safety, or sustainment risk. Integrate Zero Trust, ICAM, segmentation, privileged access, logging, continuous monitoring, vulnerability management, STIG requirements, and configuration control into the network design in coordination with the Cyber / ATO Lead. Define system boundaries, trust zones, information exchanges, data paths, classification and releasability considerations, monitoring ownership, latency and QoS needs, and fallback requirements. Distinguish same-level protected transport from cross-domain or releasability transfers. Support approved CSfC or Type 1 solutions where appropriate and formal approved CDS interfaces when validated domain crossing is required. Establish Primary, Alternate, Contingency, and Emergency network paths and measurable failover, failback, restoration, bandwidth, latency, and monitoring criteria. Support the Operations Officer and project managers with technical estimates, dependencies, sequencing, design reviews, site-readiness criteria, engineering risks, and required technical resources. Approve technical entry and exit criteria for design freeze, installation, cutover, SIT, SAT, failover testing, operational acceptance, and release of the reference design for reuse. Ensure operational handoff addresses monitoring, ticket escalation, configuration management, patching and scanning, spares, warranty, local support, after-hours response, and restoration responsibilities. Prepare and execute the technical transition package, including the authoritative architecture, configurations, decision records, cybersecurity artifacts, known risks, open issues, test results, support dependencies, and prioritized recommendations for contract continuation. Use incidents, testing, user feedback, scans, and lessons learned to recommend controlled improvements to the approved technical baseline. Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you an Principal AI/ML Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: U.S. Citizenship 10+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 7 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Works well independently as well as on a team. Strong communication skills. Key Skills: You will design, create, test, and productize AI/ML algorithms to solve business challenges. The AI/ML models you create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Need an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. You may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Location: Annapolis Junction, MD / Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR cDeBOm5dlB

Job Description Job Description Radar Reinvented. Echodyne offers the world's first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM). Echodyne is seeking a Principal State Estimation Engineer to join our fast-growing team. ROLE OVERVIEW In this role, you'll lead development of pose-estimation capabilities for Echodyne radars operating in GPS-denied environments. You'll architect and develop new on-radar systems that use radar and inertial sensor data to estimate the global position and motion of radars without reliance on external navigation systems. You'll make key algorithm and system-level tradeoffs and own efforts from early prototyping through production deployment. You'll also provide technical leadership on related state-estimation and sensor-fusion problems, such as target tracking. Your work will have an immediate real-world impact on our established and rapidly growing fleet of fielded radars, helping make them more robust and effective at protecting the infrastructure and people that rely on them in an evolving world. RESPONSIBILITIES Lead development of methods for estimating radar position, velocity, orientation, angular rate, and height above ground in GPS-denied environments using radar and IMU data, terrain maps, and other on-radar sensors and data. Apply techniques from robotics and autonomy, including SLAM, odometry, inertial navigation, localization, factor graphs, probabilistic state estimation, and machine learning - within the constraints of an embedded real-time system. Take these algorithms from research and prototyping through production implementation. Drive system-level impacts and coordinate with other teams on deployment. Work with radar, signal processing, embedded software, systems, and test teams to integrate capabilities into products. Analyze field data to characterize performance and identify failure modes to produce robust, production-grade solutions. REQUIRED SKILLS / EXPERIENCE Demonstrated ability to independently lead an open-ended technical problem. Experience developing state-estimation, localization, navigation, perception, or machine learning solutions for robotics, VR/AR headsets, autonomous vehicles, drones, aerospace, or similar platforms from prototype through production deployment. Experience working with real-world spatial sensor data (e.g. camera, lidar, radar, ultrasound, sonar). Experience with SLAM, Kalman filtering, Bayesian estimation, and factor graphs. Deep understanding of state-estimation theory, 3D geometry, coordinate transformations, rotations, and kinematics. Strong foundations in linear algebra, probability, statistics, and optimization. Strong software development skills in C++ and either Python or MATLAB. Strong verbal and written communication skills. DESIRED SKILLS / EXPERIENCE (Looking for one or more as a complement to the core skills) Experience with visual, lidar, or radar odometry; map- or terrain-relative localization, Maximum Likelihood Estimation. Experience with open-source C++ optimization libraries (GTSAM, Ceres). Software development processes and best practices. Real-time or embedded algorithm development. Understanding of traditional navigation sensors (IMUs, accelerometers, gyroscopes, magnetometers, GPS, etc.). Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.). PREFERRED QUALIFICATIONS MS with 7+ years or PhD with 5+ years of relevant experience in robotics, VR/AR headsets, aerospace, electrical engineering, computer science, applied mathematics, or a related field. Demonstrated technical leadership on complex, production-grade algorithm development efforts. Ability to handle export-controlled (ITAR, EAR) data. Echodyne's technology is export controlled by the U.S. Government and we must evaluate an applicant's eligibility to handle export-controlled information or obtain required Government authorizations. Therefore, we will ask you as part of the application process to identify whether you are a U.S. Citizen or green card holder, or have asylum/refugee status in the U.S. WHAT WE OFFER This is an exempt role. The expected annual salary range for this role is $164,594-$246,788 USD If your skills generally align but not perfectly, please apply anyway. There may be another role that's a great fit for you! We offer competitive compensation and benefits to our full-time, US-based employees, including: RSU (Restricted Stock Units) Generous Benefits: Fully-paid medical, dental, and vision insurance premiums for you Choice of PPO or HDHP/HSA Virtual Care - 98Point6 Employee Assistance Program Mental Health coverage through Springhealth & Talkspace (Premera) Travel Assistance Insurance Company Paid Life Insurance Company Paid Short & Long Term Disability Flexible PTO (exempt) / 15 days per year (non-exempt) 401(k) match Pet Insurance Prepaid Legal Program Commuter Benefits Paid Company Holidays All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or any other characteristic protected by law.

Job Description Job Description About Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. About Astera Neuro Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K

Job Description Job Description ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Artificial Intelligence professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Principal AI & Machine Learning Engineer. RESPONSIBILITIES The Principal Artificial Intelligence (AI) & Machine Learning (ML) Engineer is the technical leader responsible for embedding artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research (DAR) division. Highly regarded for exceptional performance and deep technical expertise, this role focuses on applied, production-ready AI/ML, driving groundbreaking initiatives that embed artificial intelligence into enterprise workflows Reporting to the Senior Director, Analytics Engineering, the Principal AI/ML Engineer partners closely with Data Engineering, Data Governance, and cross-functional business stakeholders to ensure that AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy. This role operates as a senior individual contributor and technical authority, setting standards for AI development practice, mentoring teammates on applied AI techniques, and translating complex machine learning capabilities into enterprise-grade systems that deliver lasting organizational value. The Principal AI/ML Engineer is a recognized expert in the field, frequently sought out for technical guidance, mentorship, and thought leadership both within the organization and across the broader AI and higher education data community. Requirements QUALIFICATIONS This role requires: Candidates must live in the United States. Hybrid Work & Travel: Employees can live anywhere in the US or its territories, with the willingness and ability to travel for periodic in-person events-including semi-annual Common App retreats, department retreats, and strategic leadership sessions. Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience. 8-10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems. Demonstrated experience integrating LLMs and generative AI into enterprise analytic or operational workflows. Demonstrated experience working within enterprise data governance and compliance frameworks. Expertise in applied machine learning and AI, including supervised and unsupervised learning, natural language processing, and large language model integration (e.g., OpenAI, Anthropic, open-source LLMs via Hugging Face). Demonstrated experience designing and deploying production-grade AI/ML systems, including end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring. Proficiency in R and Python for machine learning and AI development; familiarity with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent. Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks. Strong SQL skills and experience working with large-scale cloud data platforms (e.g., Databricks, Snowflake, BigQuery); ability to design AI-ready data pipelines within enterprise warehouse environments. Knowledge of AI governance, responsible AI principles, and compliance considerations for AI systems handling sensitive or personally identifiable data. Proven ability to serve as a senior technical individual contributor, setting standards, making architectural decisions, and mentoring peers without formal management authority. Strong interpersonal and communication skills, with the ability to translate complex AI/ML concepts into accessible language for non-technical stakeholders and executive audiences. Proven ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment. The ideal candidate will possess: Master's or doctoral degree in Computer Science, Machine Learning, Data Science, or a related field. Relevant AI/ML or cloud certifications (e.g., Databricks Certified Machine Learning Professional, AWS Machine Learning Specialty, or equivalent). Experience working with Agile frameworks for cross-functional, product-minded collaboration. Experience with agentic AI frameworks. Familiarity with Databricks AI features, including MLflow, Model Serving, and Genie or semantic layer integrations. Experience in higher education, nonprofit, or mission-driven technology contexts. Advanced training in statistics, causal inference, or program evaluation methods. A passion for higher education is a plus. PAY RANGE $144,160 - $162,180 Benefits Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: Work-Life balance Virtual-first office Paid Time Off (PTO) Seven company-wide holidays Nine floating holidays Sick leave Monthly mental health day floating holidays prorated depending on start date Virtual-first support Choice of PC of MAC laptop May choose an external monitor, keyboard, mouse, and/or headset One-time office set-up stipend Monthly remote work stipend Monthly mobile stipend Financial security Market-based salaries Performance-based bonus 403(b) retirement plan 5% company contribution additional 5% company match 3-year vesting schedule Participation may begin immediately Health & wellness Choice of two health insurance plans Health Savings Account, depending on health plan selection Medical Flexible Savings Account, depending on health plan selection Vision insurance Dental insurance Insurance coverage begins on the date of hire Dependent Care Flexible Spending Account Maven virtual clinic for women's and family health Company provided life and ad&d insurance Opportunity to purchase additional life insurance for self, spouse, and dependents Company provided short and long-term disability insurance Career development Budgeted annual funds for professional development Growth opportunities within the company Additional perks Mutual of Omaha Employee Assistance Program Mutual of Omaha will preparation services Mutual of Omaha travel assistance Payroll dedication pet insurance through PinPaws 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: Provide a job offer without an interview Ask for payment to process documents, purchase equipment or for any other reason Request banking or credit card information Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Job Description Job Description This role is the principal network designer and highest-level engineering escalation resource, responsible for leading network modernization initiatives across complex, mission-critical environments. This role provides technical leadership, ensures engineering continuity, supports operational requirements, and maintains the integrity and evolution of the approved network architecture and engineering baseline. Work Location: Completely on-site in Honolulu, HI, Monday - Friday, 7:00am to 6:00pm (HT), based upon the needs and direction of the customer. Basic Required Qualifications and Skills: Note: These are mandatory items that all candidates must have when submitting an application to IMC for this position. Please ensure that your submission addresses each of these requirement items. Candidates without these required elements will not be considered. Must possess an active Cisco CCIE Enterprise Infrastructure or CCIE Security certification at start date. Minimum 15 years of progressively responsible network engineering experience, including at least 7 years as a senior architect, chief engineer, technical lead, or comparable authority in complex DoD or national-security environments. Bachelor's degree from an accredited institution in network engineering, computer science, information systems, electrical engineering, cybersecurity, or a closely related discipline. Expert knowledge of: Enterprise routing and switching, BGP, OSPF, MPLS, multicast, VRF / VLAN segmentation, QoS, firewalls, SDN, WAN transport, encryption, network management, monitoring, high availability, and PACE communications planning. Demonstrated design experience with: Large classified and unclassified DoD networks, including NIPR and SIPR and relevant experience with JWICS, MPE / CENTRIX, CSfC, Type 1 encryption, or CDS interfaces. Demonstrated ability to lead senior engineers, enforce technical standards, resolve complex incidents, explain technical risk to senior leaders, and work effectively across multiple locations and time zones. Working knowledge of DoD architecture, RMF, Zero Trust, STIGs, vulnerability management, configuration and change control, site integration, testing, operational acceptance, and sustainment. Ability to brief general officers, senior Government civilians, program executives, and nontechnical stakeholders clearly and to distinguish validated requirements from assumptions, proposals, risks, and pending Government decisions. Excellent written and oral communication skills addressing senior executive leaders and General Officers. Able to work both independently and collaboratively, prioritizing tasks as needed. Pursuant to a government contract, this specific position requires U.S. Citizenship. All applicants must have current DoD TS/SCI clearance eligibility day one and prior to entry on duty. Desired Qualifications and Skills: It is desirable that the candidate have the following qualifications: Master's degree, from an accredited institution in network engineering, computer science, information systems, electrical engineering, cybersecurity, or a closely related discipline. 20+ years of progressively responsible network engineering experience, or comparable authority in complex DoD or national-security environments. Possess a Computing Environment Commercial Certification in ACTIVE status: CCIE Enterprise Infrastructure or Security Cloud Architecture (e.g., AWS Solutions Architect, DoD Cloud certs) Cisco CCDP or equivalent vendor-neutral certification Possess one or more of the following certifications in ACTIVE status: CISSP - Certified Information Systems Security Professional (or Associate) PMP - Project Management Professional ITIL - Information Technology Infrastructure Library Essential Duties and Responsibilities: This position will include, but is not limited to, the following tasks: Design and maintain the integrated enterprise network architecture supporting distributed command, mission, and sustainment requirements across Hawaii, the Pacific, Alaska, Japan / Okinawa, and Government-directed CONUS locations. Translate operational needs into enterprise, logical, physical, cybersecurity, data-flow, and operations architectures that remain synchronized and traceable. Own the network technical baseline, including routing, switching, segmentation, QoS, firewalls, encryption, WAN and SDN design, PACE transport, management, monitoring, and high-availability patterns. Develop and approve network designs, engineering implementation plans, IP and routing plans, bills of material, configurations, rack elevations, cable schedules, interface records, cutover plans, rollback plans, and as-built packages. Ensure HMR or another Government-selected pilot becomes a validated reference design that can be reused through controlled, Government-approved site differences rather than independent redesigns. Serve as the senior engineer for Tier 3 and Tier 4 routing, switching, transport, security-boundary, interoperability, latency, QoS, failover, performance, and service-restoration issues. Provide technical direction and mentoring to network engineers assigned to designs, installations, cutovers, incidents, and corrective actions. Review engineering work for technical accuracy, interoperability, cybersecurity impact, supportability, configuration control, and compliance with the approved baseline before Government submission or implementation. Lead root-cause analysis for recurring or mission-significant technical problems and establish corrective actions that can be applied across affected sites. Advise the Regional Program Manager and Operations Officer when a project is technically ready to proceed, requires modification, or should be paused because an unresolved issue creates unacceptable mission, cyber, safety, or sustainment risk. Integrate Zero Trust, ICAM, segmentation, privileged access, logging, continuous monitoring, vulnerability management, STIG requirements, and configuration control into the network design in coordination with the Cyber / ATO Lead. Define system boundaries, trust zones, information exchanges, data paths, classification and releasability considerations, monitoring ownership, latency and QoS needs, and fallback requirements. Distinguish same-level protected transport from cross-domain or releasability transfers. Support approved CSfC or Type 1 solutions where appropriate and formal approved CDS interfaces when validated domain crossing is required. Establish Primary, Alternate, Contingency, and Emergency network paths and measurable failover, failback, restoration, bandwidth, latency, and monitoring criteria. Support the Operations Officer and project managers with technical estimates, dependencies, sequencing, design reviews, site-readiness criteria, engineering risks, and required technical resources. Approve technical entry and exit criteria for design freeze, installation, cutover, SIT, SAT, failover testing, operational acceptance, and release of the reference design for reuse. Ensure operational handoff addresses monitoring, ticket escalation, configuration management, patching and scanning, spares, warranty, local support, after-hours response, and restoration responsibilities. Prepare and execute the technical transition package, including the authoritative architecture, configurations, decision records, cybersecurity artifacts, known risks, open issues, test results, support dependencies, and prioritized recommendations for contract continuation. Use incidents, testing, user feedback, scans, and lessons learned to recommend controlled improvements to the approved technical baseline. Salary and Benefits Information: Please see the salary information listed at the beginning of this document, which is not a guarantee of compensation or salary. All salaries will be based on relevant experience, geographic location, and position and/or contractual requirements, which could fall outside of the listed range. Full-time positions at IMC are eligible to participate in any or all of the benefit programs offered, including 401(k) with a 3% employer match, paid time off, paid holidays, FSA spending, dental, vision, health insurance, company-sponsored AD&D, and life insurance. Additional voluntary benefits are offered, such as voluntary life, AD&D, accident, critical illness, hospital, and pet insurance. Benefits are subject to change. Positions at IMC may also be eligible for a bonus and/or other incentives. For more information about IMC's benefits, please visit our website at -imc/careers Background Information: Innovative Management Concepts, Inc. (IMC), a Service-Disabled Veteran-Owned Small Business, provides a broad range of information technology IT services to government and commercial customers by placing a high priority on modernization, enhancing business processes through technology, and creating efficiencies through automation. Since its founding in 1989, IMC has offered solutions and expertise in: IT operations and maintenance, data management, cyber security, systems and network engineering and administration, cloud/hosting services, software development, website services . click apply for full job details

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

AI Engineer 5 (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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (MLX) 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).