Senior Lead AI Engineer (GenAI Platform Services, Agentic Platform)

We need to output HTML fragment with sections: Overview, Team Description, In this role..., The Ideal Candidate, Basic Qualifications, Preferred Qualifications, Salary info (Pay), Benefits, maybe Schedule? No schedule given. Also note we must not repeat job title as heading. Use

for section headings. Use

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

  for prose. We need to preserve all substantive information, remove boilerplate (cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions). Also remove things like "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's maybe not boilerplate? It's about sponsorship; could be considered relevant? Might be considered part of job posting but not a heading. It's not a list; we can keep as paragraph. We need to include sections only when posting has real specific content. So we need sections: Overview, Team Description, Responsibilities (the "In this role, you will:" bullet list), The Ideal Candidate (maybe Qualifications?), Basic Qualifications, Preferred Qualifications, Pay (salary ranges), Benefits (mention of benefits). Also maybe "About the role"? Not present. We have Overview and Team Description separate. Could combine? But we should follow headings as given: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. However we should only include sections when posting has real specific content. The posting includes Overview (like About the role), Team Description (maybe part of About the role?), Responsibilities (the bullet list after "In this role, you will:"), The Ideal Candidate (maybe Qualifications/Skills), Basic Qualifications (Requirements), Preferred Qualifications (maybe Skills), Pay (salary ranges), Benefits (benefits statement). No schedule. We need to map content accordingly. Let's extract: 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: "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." Responsibilities (the bullet list after "In this role, you will:"): - 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, 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, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM 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. The Ideal Candidate paragraph: "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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 technologiesAt least 6 years of experience programming with Python, Go, Scala, or Java" Note there is a missing space before "At least". We'll keep as is. Preferred Qualifications: list: - 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, integrating, delivering, and supporting complex AI systems - Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 - 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 Pay: Salary ranges per location: - Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer - McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer - New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer - San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Also note: "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." Benefits: "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." Also there is a line: "This role is expected to accept applications for a minimum of 5 business days. No agencies please." That's application instruction/boilerplate; we should remove. Also EEO etc remove. We must not include duplicated lines. Now produce HTML with headings

  . Use

  for prose. Use

  • for lists. We need to decide which headings map to which content. Possible headings: - About the role (Overview + Team Description?) Could split: Overview as About the role, Team Description maybe as About the role as well. But we could have separate sections: Overview and Team Description. However the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't forbid other headings? It says use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It implies we should use those headings when appropriate. It doesn't say we cannot use other headings, but better to stick to those. So we can map: About the role: combine Overview and Team Description? Could be two paragraphs. Responsibilities: the bullet list. Requirements: Basic Qualifications. Qualifications: maybe Preferred Qualifications? Or Skills? The Ideal Candidate could be Qualifications or Skills. The Ideal Candidate describes attributes; could be Qualifications. But we already have Requirements (Basic Qualifications). Qualifications could be Preferred Qualifications. Skills could be maybe The Ideal Candidate? However The Ideal Candidate includes both skills and traits. Could treat as Qualifications. But we have both Basic and Preferred qualifications; we could put Basic under Requirements, Preferred under Qualifications. And The Ideal Candidate maybe under Skills? Or we could incorporate The Ideal Candidate into Qualifications as a paragraph before the list. Let's decide: - About the role: Overview + Team Description (two paragraphs) - Responsibilities: bullet list - Requirements: Basic Qualifications (maybe as a paragraph) - Qualifications: The Ideal Candidate paragraph + Preferred Qualifications list - Benefits: benefits paragraph - Pay: salary ranges paragraph + note about other locations and incentive compensation - Schedule: not present, omit. We should not include Skills heading if we don't have separate skills list; we already have Qualifications covering. Now produce HTML. Need to ensure we don't include any boilerplate like "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's not boilerplate but maybe relevant; we can keep as a paragraph under About the role? Actually it's after overview before Team Description? In original text: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." It's after overview before Team Description? Let's locate: In the text: after overview paragraph, there is "Team Description:" then later "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." Actually reading: after overview paragraph, there is "Team Description: The Intelligent Foundations..." then later after "The Ideal Candidate:" etc, then "Basic Qualifications:" etc, then "Preferred Qualifications:" etc, then "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." then salary info etc. So that line is about sponsorship; it's substantive. We should keep it. Where to place? Could be under About the role as a note, or maybe under Qualifications? It's about employment authorization; could be a note under About the role or maybe a separate paragraph under About the role. We'll include it as a paragraph under About the role after the team description. Now ensure we remove duplicated lines: there is duplicated "At least 6 years of experience programming with Python, Go, Scala, or Java" appears after Basic Qualifications line? Actually Basic Qualifications line includes that phrase twice? The text: "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 technologiesAt least 6 years of experience programming with Python, Go, Scala, or Java". There's missing space before "At least". We'll keep as is but ensure not duplicate. It's only once. Now produce HTML. We'll need to escape