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ai engineer lead

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Description</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
What is the opportunity?</b></p><p>
Join RBC Capital Markets' AI &amp; Digital Engineering team as an AI Engineer Lead and play a pivotal role in reshaping the future of global financial markets through cutting-edge technology. You will work alongside top-tier engineers, data scientists, and business leaders to deliver scalable, production-ready solutions that directly impact RBC's competitive edge while driving the adoption of AI, machine learning, and emerging technologies to solve complex business challenges and unlock new opportunities.</p><p></p><p><b>
What will you do?</b></p><ul><li>
Innovate at the forefront, leveraging cutting-edge technologies to solve real-world problems in global financial markets</li><li>
Pioneer end-to-end solutions from prototyping to deployment, owning the full lifecycle of AI initiatives</li><li>
Engineer systems prioritizing performance, security, and compliance to support high-volume, real-time applications</li><li>
Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc.</li><li>
Mentor high-performing teams and foster a culture of innovation across AI &amp; Digital Engineering</li><li>
Develop talent pipelines and drive career growth for junior engineers and data scientists</li><li>
Lead thought leadership initiatives to position RBC as an innovator in financial technology</li><li>
Demonstrate ability to lead diverse teams, mentor talent, and drive cultural change</li><li>
Champion cross-functional collaboration by leading discussions with business stakeholders to gather requirements, refine visions, and align AI initiatives with strategic goals to translate into actionable AI strategies</li><li>
Develop AI models to enhance blockchain use cases, such as fraud detection or automated compliance by implementing smart contracts and DLT solutions</li><li>
Communicate technical visions and project outcomes to C-suite executives, clients, and regulators</li><li>
Represent RBC at industry conferences and forums to elevate the organization's AI capabilities</li><li>
Influence organizational strategy by aligning technical innovation with business outcomes and regulatory constraints</li><li>
Articulate complex AI concepts to non-technical audiences (C-suite, boards, clients)</li><li>
Proactively address ethical AI, data governance, and regulatory considerations in financial services</li></ul><p></p><p><b>
What do you need to succeed?</b></p><p><b>
Must-have</b></p><ul><li>
Advanced degree (MS/PhD) in Computer Science, AI, or similar quantitative field preferred</li><li>
10+ years of experience designing, developing, and deploying production-scale AI/ML solutions, with a proven track record, preferably in finance or related industries</li><li>
Fluency in Python, including development of production-grade AI/ML solutions using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch, or Hugging Face</li><li>
Demonstrated mastery in Generative AI (e.g., LLMs, diffusion models), NLP (e.g., transformer models), and computer vision (e.g., vision transformers)</li><li>
Hands-on experience with blockchain platforms (e.g., Ethereum) and smart contract development for financial applications</li><li>
Proficiency in cloud infrastructure (AWS, Azure, GCP), including serverless computing, managed services, and Kubernetes for scalable AI deployments</li><li>
Documented success leading projects from business requirement gathering to prototype development and production deployment, ensuring alignment with strategic goals</li><li>
Demonstrated ability to lead diverse teams, mentor talent, and drive cultural change</li><li>
Track record of external visibility (conference speaking, publications, industry forums)</li><li>
Experience influencing organizational strategy and engaging with executive stakeholders</li></ul><p></p><p><b>
Nice-to-have</b></p><ul><li>
Certifications: AWS/GCP/Azure AI certifications, CFA, or FRM</li><li>
Specialized knowledge in risk management, trading workflows, or regulatory reporting (e.g., MiFID II, Dodd-Frank)</li></ul><p></p><p><b>
What&rsquo;s in it for you?</b></p><p>
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.</p><ul><li>
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable</li><li>
Leaders who support your development through coaching and managing opportunities</li><li>
Ability to make a difference and lasting impact</li><li>
Work in a dynamic, collaborative, progressive, and high-performing team</li><li>
Flexible work/life balance options</li><li>
Opportunities to do challenging work</li><li>
Opportunities to take on progressively greater accountabilities
</li><li>Access to a variety of job opportunities across business</li></ul><p></p><p><i>
The good-faith expected salary range for the above position is $225,000 - $300,000 depending on factors including but not limited to the candidate&rsquo;s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements that comprise our total compensation package, which includes the following: commission sharing eligibility for select roles, a discretionary bonus, a paid time-off plan, our 401(k) program with company-matching contributions, and our health, dental, vision, life and disability insurance.</i></p><p></p><p><i>
RBC&rsquo;s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:</i></p><ul><li><i>Drives RBC&rsquo;s high performance culture</i></li><li><i>Enables collective achievement of our strategic goals</i></li><li><i>Generates sustainable shareholder returns and above market shareholder value</i></li></ul><p></p><p>
#LI-POST</p><p></p><p><b>
Job Skills</b></p>
Machine Learning (ML)<p></p><p><b>
Additional Job Details</b></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Address:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
City:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
New York<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Country:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
United States of America<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Work hours/week:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
40<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Employment Type:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
Full time<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Platform:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
CAPITAL MARKETS<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Job Type:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
Regular<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Pay Type:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
Salaried<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Posted Date:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
2026-03-30<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Application Deadline:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
2026-04-30<p><b>
Note</b><b>:</b> <i>Applications will be accepted until 11:59 PM on the day prior to the application deadline date above</i></p><p></p><p><b>
Our Employment Opportunities</b></p><p></p><p>
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Join our Talent Community</b><br>
<br>
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.<br>
<br>
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p>
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.</p></div>

AI Engineer Lead

Capital One

<div>Lead AI Engineer (AI Foundations)<p></p><p><b>
Overview
</b></p><p></p><p>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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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.</p><p></p><p><b>
Team Description:</b></p><p></p><p>
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.</p><p></p><p><b><br>
In this role, you will:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</p></li><li><p>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</p></li><li><p>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</p></li></ul><p></p><p><b>
The Ideal Candidate:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><p></p><ul><li><p>
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</p></li><li><p>
At least 4 years of experience programming with Python, Go, Scala, or Java</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><p></p><ul><li><p>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</p></li><li><p>
Experience designing, developing, delivering, and supporting AI services</p></li><li><p>
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</p></li><li><p>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</p></li><li><p>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</p></li></ul><p></p><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Sales Territory: $179,400 - $204,700 for Lead AI Engineer<br>
<p></p>
McLean, VA: $197,300 - $225,100 for Lead AI Engineer<br>
<p></p>
New York, NY: $215,200 - $245,600 for Lead AI Engineer<br>
<p></p>
Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer<br>
<p></p>
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer<p></p><p><br>
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&rsquo;s offer letter.</p><p></p>
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.<p></p><p>
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.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. 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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead AI Engineer (AI Foundations)

<div>Sr. Lead AI Engineer (AI Foundations)<p></p><p><b>
Overview:</b></p><p></p><p>
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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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.</p><p></p><p><b>
Team Description:</b></p><p></p><p>
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.</p><p></p><p><b><br>
In this role, you will:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</p></li><li><p>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</p></li><li><p>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</p></li></ul><p></p><p><b>
The Ideal Candidate:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><p></p><ul><li><p>
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</p></li><li><p>
At least 6 years of experience programming with Python, Go, Scala, or Java</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><p></p><ul><li><p>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</p></li><li><p>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</p></li><li><p>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</p></li><li><p>
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</p></li><li><p>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</p></li><li><p>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</p></li><li><p>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</p></li></ul><p></p><p><i><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
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&rsquo;s offer letter.</p><p></p>
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.<p></p><p>
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.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. 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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
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Sr. Lead AI Engineer (AI Foundations)

Realign

<div>New York, New York 10001 Posted April 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title</b> : Software AI Engineer &ndash; Agentic AI</div><div><b>
Location</b> : New York, NY (ONSITE)<br>
<b>FTE ONLY</b></div><div></div><div><b><br>
Job Description</b></div><ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li> Fluency with AI-assisted and agentic development workflows.</li><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li> Ability to influence technical direction and align teams without formal authority.</li><li> Experience in workflow engines, async processing, queues, and streaming systems.</li><li> Languages: Python, Go, TypeScript</li><li> APIs and services: REST, gRPC</li><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li> Distributed systems: event-driven architectures, including Kafka</li><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li><li> Integration of commercial and open-source LLMs into agentic workflows</li><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li> Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li> Own and evolve shared agentic AI capabilities, including:</li><li> Agent frameworks and orchestration layers</li><li> Planning, tool use, and memory strategies</li><li> Retrieval and grounding (RAG) pipelines</li><li> LLM infrastructure, inference, and model gateways</li><li> Evaluation, observability, and safety tooling for autonomous systems</li><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to pro duction.</li><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Software AI Engineer – Agentic AI-2

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

Saragossa

<div>
 <p>
  Looking to build AI that transforms healthcare from the ground up?
 </p>
 <p>
  <br/>
 </p>
 <p>
  A well-funded AI unicorn ($XXXM Series E, backed by top-tier VCs) is launching a new vertical&mdash;and we're hiring a
  <strong>
   Founding Software Engineer
  </strong>
  to lead it. This isn't just another engineering role. You're joining a startup within a startup, writing the playbook as you go on this NYC-based team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This company has already revolutionized operations in a major industry vertical with AI agents that automate complex workflows. Now they're bringing that same transformative approach to healthcare&mdash;streamlining scheduling, intake, and patient communication so providers can focus on care, not paperwork.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a founding engineer on this team, you'll build autonomous systems that actually ship. You'll own features end-to-end, work directly with customers, and see your code make a real impact on how people access healthcare. No playbooks. No micromanagement. Just you, a small team of top engineers, and the mandate to move fast and build something massive.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You are qualified if you bring an exceptional educational background paired with a startup mindset - with a strong sense of ownership, urgency, and pragmatism in building and shipping software. You should be proficient in Python (Java, C#, Go are useful as well) and have an understanding of microservices and event-driven systems. Experience with a successfully scaled, AI forward business would particularly stand out.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $240,000&ndash;$300,000 + equity + comprehensive benefits package
 </p>
 <p>
  <br/>
 </p>
 <p>
  If this sounds like you, apply now!
 </p>
</div>


Founding Software Engineer - Backend/Full-Stack - Up to $300k base + bonus

Locality

<div><p>Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases.
</p><ul><li>Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform</li><li>
Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations</li>
Architect, own, and continuously optimize Databricks Bronze Silver<li> Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows</li><li>
Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management</li><li>
Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines</li><li>
Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph</li><li>
Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners</li><li>
Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability</li><li>
Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities</li><li>
Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets</li><li>
Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements</li><li>
Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems</li></ul><ul><li>
6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising</li><li>
Strong hands on experience with Databricks, Spark, and modern cloud data platforms</li><li>
Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)</li><li>
Deep expertise in SQL and proficiency in Python or another scripting language</li><li>
Experience working with identity graphs, audience data, and complex join logic across large datasets</li><li>
Hands on experience building and managing automated data pipelines and third-party data integrations</li><li>
Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors</li><li>
Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments</li></ul><p>
</p><p><i>Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).
</i></p><p></p><p><i>At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.</i></p></div>

Sr. Data Engineer (Contract to Perm)

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