AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)

We need to output HTML fragment with sections: About the role? The posting includes Overview, Team Description, What You’ll Do, The Ideal Candidate, Basic Qualifications, Preferred Qualifications, Salary info, Benefits mention, maybe Schedule? No schedule given. Pay info is present: salary ranges per location. So we need a Pay section with that info. Benefits: mention of comprehensive benefits, but no specifics; we should not create Benefits section unless posting actually states them. It says "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." That's a statement about benefits but not specific. The rule: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state benefits exist, but not details. Is that enough? The instruction: "never create Pay/Schedule/Benefits sections unless the posting actually states them." It does state that benefits are offered, albeit generic. I'd argue we can include a Benefits section with that statement. However they also say "Prefer a few substantive sections over many thin ones." Might be better to combine Benefits into a paragraph under Overview? But we need to follow headings: we can include Benefits heading with that statement. Pay section definitely needed. We must not repeat job title as heading. No Job ID. Remove boilerplate like EEO, scam warning, etc. Also remove application instructions, accommodation contact, etc. Also remove "This role is expected to accept applications for a minimum of 5 business days. No agencies please." etc. We need to preserve all substantive information: overview, team description, what you'll do, ideal candidate, basic qualifications, preferred qualifications, salary ranges per location, benefits statement, maybe mention of performance based incentive compensation. Also mention that Capital One will consider sponsoring employment authorization. That's substantive. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We need to decide which content is list-like. "What You’ll Do" includes bullet-like sentences but not explicit list; we can convert to

  • . Similarly "The Ideal Candidate" includes multiple paragraphs; we could make list. Basic Qualifications and Preferred Qualifications are lists. We need to avoid filler like "commensurate with experience". Not present. Let's extract sections: - Overview (maybe combine Overview and Team Description as "About the role"? The instruction: use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can map content accordingly. We have Overview + Team Description: could be "About the role". Provide prose. "What You’ll Do": Responsibilities. "The Ideal Candidate": could be Skills or Requirements? Might be "Requirements" or "Skills". We have Basic Qualifications and Preferred Qualifications separate. Could treat Basic Qualifications as "Requirements", Preferred as "Qualifications". Or combine. We need to decide headings: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay. We have also "Preferred Qualifications" which could be under Qualifications. We also have "Basic Qualifications" as Requirements. We also have "The Ideal Candidate" which is more like Skills/Attributes; could be under Skills heading. But we don't have Skills heading in list? Actually we can use Skills heading. The instruction list includes Skills as possible heading. So we could have Skills for The Ideal Candidate. Thus sections: - About the role (Overview + Team Description) - Responsibilities (What You’ll Do) - Skills (The Ideal Candidate) - Requirements (Basic Qualifications) - Qualifications (Preferred Qualifications) - Pay (salary ranges + incentive compensation + sponsorship) - Benefits (benefits statement) We must not create Schedule. Now format. We need to preserve all substantive information: include details like "Partner with a cross-functional team..." etc. We need to convert list items to
    • . For paragraphs, use

      . Let's craft. About the role: combine Overview and Team Description paragraphs. Overview paragraph: "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 paragraph: "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." We can combine into one

      or two

      . Probably two

      under same heading. Responsibilities: list each sentence as

    • . Let's extract bullet points: - 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 We need to keep the exact phrasing. Skills (The Ideal Candidate): list each bullet. Paragraphs: - 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 can make each as
    • . Requirements (Basic Qualifications): list each bullet. - 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 We could combine as two
    • . Qualifications (Preferred Qualifications): list each bullet. - 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) Also note: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." This could go under Pay or maybe a separate note; but we can include in Pay section as a paragraph. Pay section: include salary ranges per location, mention performance based incentive compensation, sponsorship. We need to preserve all info: salary ranges for each location, note about part-time prorated, note about other locations, note about performance based incentive compensation, sponsorship. We'll create
      • for each location maybe. Pay: - 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 will consider sponsoring a new qualified applicant for employment authorization for this position. We could also mention that salaries for part-time roles will be prorated based upon agreed hours. Add that as a
      • . Benefits section: statement: "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." We'll put that as

        maybe. Now ensure we don't include boilerplate: remove EEO, accommodation contact, etc. Also