AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, no invented details. Remove boilerplate like EEO, legal, etc. Also remove application instructions, etc. We need to parse the posting. Key content: - Intro paragraph about Capital One AI, etc. Could be "About the role" maybe? Actually "About the role" is a heading we can use for description of role/team. The posting includes "Team Description: The Intelligent Foundations and Experiences (IFX) team ..." and earlier paragraphs about mission. So we can put that under About the role. - Responsibilities: "What You’ll Do:" bullet list (actually sentences). We need to convert to

• . The list includes many items separated by periods. We'll split each sentence as a bullet. - Requirements: "Basic Qualifications:" bullet list. Also maybe "Preferred Qualifications:" could be under Qualifications or Skills? The instruction: Use headings Requirements, Qualifications, Skills. We need to decide mapping. Typically Requirements = basic qualifications, Qualifications = preferred qualifications, Skills = maybe technical skills list. But we can combine. We have Basic Qualifications: Bachelor's degree ... plus at least 4 years experience ... or Master's plus 2 years. At least 4 years experience programming with Python, Go, Scala, CUDA, or Java. Preferred Qualifications: list many items. We also have "The Ideal Candidate:" paragraph describing traits. Could be under Skills or maybe under Qualifications? The instruction: Use headings for sections only when posting has real specific content. We have content for Ideal Candidate (traits). Could be under Skills or maybe under Qualifications? Might be better to put under Skills (soft skills). But we also have a list of technical skills in Preferred Qualifications. We need to avoid filler like "commensurate with experience". Not present. Pay: Salary ranges per location. That's specific. So we need a Pay section with that info. Schedule: Not mentioned. No schedule info, so we should not include Schedule section. Benefits: Mentioned: "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." That's benefits info, albeit generic but still specific. We can include Benefits section with that paragraph. We must not include boilerplate like "Learn more at the Capital One Careers website." That's okay. We must not include application instructions like "No agencies please." That's boilerplate; remove. We must not include EEO etc. Remove. We must not include "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's substantive? It's about sponsorship. Might be considered relevant. Should we keep? It's not boilerplate; it's about visa sponsorship. Could be included maybe under About the role or a separate section? There's no specific heading for sponsorship. Could be included in About the role paragraph. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep that sentence. Also "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." That's substantive; could be under Benefits or Pay? Probably under Benefits (compensation). Could be under Pay as well. But we already have Pay section for base salary. Incentives could be part of Benefits or separate. Since we have Benefits section, we can include that there. Also "This role is expected to accept applications for a minimum of 5 business days." That's about application period; maybe considered boilerplate? It's not exactly boilerplate but could be considered application instruction. The instruction says remove application instructions. This is about application period, maybe remove. Also "Capital One is an equal opportunity employer..." remove. Also "Capital One promotes a drug-free workplace." remove. Also "Capital One will consider for employment qualified applicants with a criminal history..." remove. Also accommodation contact info: remove? It's about accommodation for disability; could be considered EEO/legal; remove. Also "For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com" remove. Also "Capital One does not provide, endorse nor guarantee..." remove. Also "Capital One Financial is made up of several different entities..." remove. Thus we keep: intro paragraphs, team description, what you'll do, ideal candidate, basic qualifications, preferred qualifications, pay, benefits (including incentives and sponsorship?), maybe also mention sponsorship. We need to decide headings. We'll produce:

  About the role

  ... (intro + team description + sponsorship sentence)

  Responsibilities

  • ...
  ...

  Requirements

  Basic Qualifications:

  • ...
  ...

  Qualifications

  Preferred Qualifications:

  • ...
  ...

  Skills

  Ideal Candidate traits:

  • ...
  ...

  Benefits

  ... benefits paragraph + incentive compensation + sponsorship? Actually sponsorship already in About the role. We'll keep incentives here.

  Pay

  Salary ranges per location: ...

  We must not include Schedule. Check that we don't repeat content. Now we need to extract exact sentences. Intro: "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: "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." Sponsorship sentence: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." We can combine these into About the role paragraph. Now Responsibilities: "What You’ll Do:" then list: - 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 We need to keep each as
• . Now Requirements (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 We could combine as two bullets. Now Qualifications (Preferred Qualifications): list each bullet: - 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 Now Skills (Ideal Candidate): list traits: - 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 We could keep as bullets. Now Benefits: paragraph: "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 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." We could also mention sponsorship? Already in About the role. Now Pay: list salary ranges: - Cambridge, MA: $197,300 - $2