Staff AI Engineer (Remote Eligible)
Capital One · Cambridge, MA · 3 wk ago
Engineering$245k–$279k/yrFull-time
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 invention. Remove boilerplate.
We need to parse the posting.
Key sections:
- Intro paragraph about Capital One AI etc. Could be "About the role" maybe.
- Team Description: The Intelligent Foundations and Experiences (IFX) team... Could be part of About the role.
- What You’ll Do: list of duties.
- The Ideal Candidate: list of traits/qualities.
- Basic Qualifications: education + experience.
- Preferred Qualifications: list.
- Capital One will consider sponsoring... maybe not needed.
- Salary info: Pay section.
- Benefits: mention comprehensive benefits.
- Schedule: maybe not specified; remote employee; but schedule not given. The posting says "Capital One is open to hiring a Remote Employee for this opportunity." No schedule details. So we should not create Schedule section unless specific content.
- Benefits: we have a paragraph about benefits.
- Pay: we have salary ranges.
- Skills: maybe we can extract from Preferred Qualifications etc. But we need to avoid thin sections. Could combine Requirements and Qualifications? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to decide which sections to include based on content.
We have:
About the role: could include intro + team description.
Responsibilities: "What You’ll Do:" list.
Requirements: maybe Basic Qualifications.
Qualifications: maybe Preferred Qualifications? Or we could treat Basic as Requirements, Preferred as Qualifications.
Skills: maybe we could extract from Ideal Candidate traits (passion, adaptability, etc.) but those are more qualities. Could also include technical skills from Preferred Qualifications (experience designing AI systems, etc.) but those are qualifications.
Better to follow typical pattern: About the role, Responsibilities, Requirements (basic), Qualifications (preferred), Skills (maybe from Ideal Candidate), Benefits, Pay.
We must not create sections with filler like "not specified". So we need actual content.
Let's extract content.
About the role: combine introductory paragraphs and team description.
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: "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 About the role.
Responsibilities: bullet list from "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.
- Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams
- Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads
- Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design
- Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds
We need to preserve all substantive info; we can keep as list.
Requirements: Basic Qualifications:
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
- At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java
We could also note "Capital One is open to hiring a Remote Employee for this opportunity." That's maybe not a requirement but could be in About the role or separate note. But we can include as a short paragraph maybe under About the role.
Qualifications: Preferred Qualifications list (many). We'll need to include them as bullet list.
Preferred Qualifications:
- Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy
- 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
- Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
- 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
- Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks
- Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency
- Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization
- Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility
- Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
We could also include "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's maybe not a qualification but could be note; but we can drop as it's not a section heading.
Skills: maybe we can extract from Ideal Candidate 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."
These are more like personal qualities/skills. Could be placed under Skills.
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."
We can include that.
Pay: salary ranges table or list.
We have:
- Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer
- Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer
- McLean, VA: $269,100 - $307,200 for Staff AI Engineer
- New York, NY: $293,600 - $335,100 for Staff AI Engineer
- San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer
- San Jose, CA: $293,600 - $335,100 for Staff AI Engineer
Also note about part-time prorated, performance based incentive compensation.
We'll include Pay section with list.
Schedule: not specified; we should not create.
Now output HTML fragment with headings and content.
We need to avoid repeating job title as heading. Not needed.
We must not include markdown code fences.
We'll output something like:
and content.
We need to avoid repeating job title as heading. Not needed.
We must not include markdown code fences.
We'll output something like:
About the role
...
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Skills
- ... ...
Benefits
...
Pay
- Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer ...