AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
About the role
with paragraphs. - Responsibilities: The "What You’ll Do:" bullet list. - Requirements: The "Basic Qualifications:" maybe also "Preferred Qualifications:" but we can separate Requirements (basic) and Qualifications (preferred) or Skills. The instruction: Use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have Requirements (basic qualifications) and Qualifications (preferred qualifications). Skills could be extracted from preferred qualifications maybe but we can combine. We need to avoid filler sections like Pay/Schedule/Benefits unless posting actually states them. The posting includes salary ranges per location, and mentions benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits". Also mentions performance based incentive compensation. So we can include Pay and Benefits sections. Schedule not mentioned, so omit. We must not include placeholder like "commensurate with experience". Not present. We need to preserve all substantive info: include salary ranges per location, mention incentive compensation, benefits description. We must not include boilerplate like EEO, equal opportunity, scam warning, navigation, cookie, application instructions, etc. Also remove "No agencies please." and "This role is expected to accept applications for a minimum of 5 business days." That's application instruction; remove. Also remove "Capital One is an equal opportunity employer..." etc. Remove accommodation contact lines, etc. Also remove "Capital One does not provide, endorse nor guarantee..." etc. Also remove the final paragraphs about entities. We need to keep the team description maybe part of About the role? Could be separate but we can include in About the role. Let's structure:About the role
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
- 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.
Requirements
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.
Qualifications
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).
Skills
Maybe we can extract skills from preferred qualifications: but we already have qualifications. Could combine but we need a Skills section if there is specific skill list. The posting doesn't have a separate skills list; we could omit Skills section. However instruction: Prefer a few substantive sections over many thin ones. If we already have Requirements and Qualifications, we could skip Skills. But we need to decide if we should include Skills. The posting includes many technical skills; but they are already captured in qualifications. To avoid thin section, we could omit Skills.Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location:
- 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.
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.
We must not include schedule. Check for any leftover boilerplate: We removed EEO, accommodation, etc. Also removed "No agencies please." and "This role is expected to accept applications for a minimum of 5 business days." Good. Check that we didn't repeat job title as heading: we didn't. Check that we didn't include Job ID/requisition numbers: none. Check that we preserved all substantive info: we included about role, responsibilities, basic qualifications, preferred qualifications, pay, benefits. Did we miss any info like "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's substantive; we omitted it. Should we include? It's about visa sponsorship. It's substantive. Should we include maybe in About the role or a separate section? Could add a sentence in About the role or maybe a separate "Visa Sponsorship" but not a prescribed heading. We could incorporate into About the role paragraph. Let's add a sentence: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." Add to About the role after team description maybe. Also we missed "This role is expected to accept applications for a minimum of 5 business days." That's application instruction, we removed per instruction. We also missed "Learn more at the Capital One Careers website." Already in benefits. We also missed "Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Already in benefits. We also missed "Capital One promotes a drug-free workplace." That's boilerplate EEO? Might be considered boilerplate; but it's substantive? It's a policy statement. Might be considered boilerplate; but instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Drug-free workplace could be considered legal/EEO? Probably remove. We also missed "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..." That's legal boilerplate; remove. We also missed accommodation contact lines; remove. We also missed "For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com" - remove. We also missed "Capital One does not provide, endorse nor guarantee and is not liable for third-party products..." remove. We also missed the final paragraphs about entities; remove. Thus we have kept visa sponsorship. Let's incorporate visa sponsorship into About the role paragraph. Now ensure no repeated content. Now produce final HTML fragment. We must output