artificial intelligence engineer Jobs in New York

artificial intelligence engineer

machine learning engineer Jobs in New York

machine learning engineer

administrative assistant intern Jobs in New York

administrative assistant intern

ai data engineer

ai intern

machine learning intern

Capital One

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Team Description:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  </li>
  <li>
   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.
  </li>
  <li>
   Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Ideal Candidate:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
  </li>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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
  </li>
  <li>
   At least 4 years of experience programming with Python, Go, Scala, or Java
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  </li>
  <li>
   Experience designing, developing, delivering, and supporting AI services
  </li>
  <li>
   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
  </li>
  <li>
   Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  </li>
  <li>
   Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  <br/>
  <br/>
 </em>
 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.
 <br/>
 <br/>
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This role is expected to accept applications for a minimum of 5 business days.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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).
</div>


Lead AI Engineer (FM Hosting, LLM Inference)

<div>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   Team Description:
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   In this role, you will:
  </strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  </li>
  <li>
   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.
  </li>
  <li>
   Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   The Ideal Candidate:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
  </li>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Basic Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   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
  </li>
  <li>
   At least 4 years of experience programming with Python, Go, Scala, or Java
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  </li>
  <li>
   Experience designing, developing, delivering, and supporting AI services
  </li>
  <li>
   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
  </li>
  <li>
   Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  </li>
  <li>
   Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
   <br/>
   <br/>
  </em>
 </strong>
 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.
 <br/>
 <br/>
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This role is expected to accept applications for a minimum of 5 business days.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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).
</div>


Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Team Description:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  </li>
  <li>
   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.
  </li>
  <li>
   Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Ideal Candidate:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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.
  </li>
  <li>
   Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
  </li>
  <li>
   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.
  </li>
  <li>
   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.
  </li>
  <li>
   You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   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
  </li>
  <li>
   At least 4 years of experience programming with Python, Go, Scala, or Java
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  </li>
  <li>
   Experience designing, developing, delivering, and supporting AI services
  </li>
  <li>
   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
  </li>
  <li>
   Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  </li>
  <li>
   Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  <br/>
  <br/>
 </em>
 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.
 <br/>
 <br/>
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 This role is expected to accept applications for a minimum of 5 business days.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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).
</div>


Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Description</p><p>
Our Global Technology (GT) group is a world-class technology team employing an innovative, disciplined and business focused approach to develop a wide variety of high-quality products and solutions. Across 20+ technology centers worldwide, our team of technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in payments, cybersecurity, machine learning, engineering and cloud. Our $19.8B annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.<br>
As a Technology Strategy Executive within the Global Technology Strategy, Innovation and Partnerships team, you will be instrumental in shaping JPMC's firmwide technology strategy. You will cultivate and maintain high-level collaborative relationships with technology vendors and the emerging technology ecosystem, including the venture capital community, to influence partner roadmaps and align them with JPMC's strategic objectives. Your role will be essential in promoting innovation across the firm, ensuring JPMC leverages the business benefits of adopting advanced technology capabilities. You will collaborate closely with senior business and technology stakeholders across JPMC to ensure the execution of a cohesive firmwide strategy, with new innovations swiftly assessed, piloted, and scaled as necessary. Additionally, you will enhance internal awareness of Data and AI opportunities and support client-facing business development activities, working alongside the Strategic Investments team on private company investments that strategically align with JPMC's technology initiatives.<br>
<b>Job responsibilities</b><br>
</p><ul><li>Help drive the firmwide technology strategy across JPMC</li><li>
Build best-in-class collaborative relationships with technology vendors and the emerging technology ecosystem (including the venture capital community) in order to influence partner roadmaps and JPMC strategy</li><li>
Drive innovation across JPMC and ensure that JPMC maximizes the business benefits of adoption of market leading technology capabilities</li><li>
Influence senior business and technology stakeholders across JPMC ensuring execution on a coordinated firmwide strategy, with new innovations rapidly evaluated, piloted and then scaled firmwide where appropriate</li><li>
Build internal awareness of Data and AI opportunities across JPMC</li><li>
Support JPMC client facing business development activities, and partner with Strategic Investments team on private company investments which strategically align to JPMC's technology initiatives</li><li><b>
Extensive knowledge and exposure to the external Cloud and Infrastructure Partner Ecosystem, and domain knowledge of key technology trends</b></li></ul><p><b><br>
Required qualifications, capabilities and skills</b><br>
</p><ul><li>Minimum of 6 years relevant experience with a leading technology company in a product related role, a top-tier consulting firm or an internal consulting/corporate strategy team, including at least 1 year of managerial experience leading teams. 3+ years of experience working closely with external technology companies in the Cloud and Infrastructure domain</li><li>
Strong relationship and interpersonal skills and the ability to interact with senior business and IT executives, as well as external executives. Strong passion for technology and staying abreast of industry trends. Track record of driving strategy, partnerships and innovation</li><li><b>
Customer Obsession:</b> Committed to have a customer first approach. We expect our leader to have a demonstratable history of making a difference for customers and showing a customer first approach.</li><li><b>
Growth Mindset:</b> Experience and passion for learning (technical and soft skills); implementing practices from others; trying, failing and learning from that; sharing practices and knowledge for others' benefit</li><li><b>
Problem Solver:</b> Ability to solve complex challenges for customers and have a high ability to solve internal and external barriers understanding internal and external organizational structures, dynamics and tradeoffs.</li><li><b>
Executive Presence:</b> Experience and expertise facing off to senior executives by aligning &amp; reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.</li><li><b>
Excellent Communicator: </b>Able to distill widely variant feedback into root cause issues and provide actionable feedback to other stakeholders, deep technical product demo, presenting, writing, and verbal communication skills</li><li><b>
Technical Breadth: </b>Enterprise customer level experience with Artificial Intelligence, Data Platforms &amp; Cyber</li><li><b>
Technical Depth:</b> Depth in multiple areas of AI and Data.<br>
</li></ul><p><br>
<b>Preferred qualifications, capabilities and skills</b><br>
</p><ul><li>Financial services background is preferred</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<div>Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.<br>
</div><div></div><br>
<div>The Strategy team manages mission-critical projects ranging from developing growth strategies, to assessing and planning entry into new markets, to implementing organizational restructurings and operational efficiencies, and more. Projects are typically team-based and include close collaboration with senior executives.</div></div>

Executive Director, Tech-Strategy & Partnerships, Data & AI

Ameriprise Financial

<div><p><b>About Our Company</b></p><p><br>
We&rsquo;re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses &ndash; Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.</p><p></p><p><b>
Job Description</b></p><p></p>
The VP-Forward Deployed Engineer operates at the intersection of investment strategy, quantitative analysis and applied artificial intelligence. The position is responsible for partnering closely with portfolio management and investment research teams to identify opportunities, design solutions, and develop, prototype, and deploy LLM-enabled tools that enhance investment decision-making and research processes. Combines investment management knowledge with software engine capabilities to translate investment ideas and research needs into scalable technology solutions.<p></p><p><b>
Key Responsibilities</b></p><ul><li>
Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into innovative AI-enabled solutions that improve investment outcomes and organizational efficiency.</li><li>
Drive the design and delivery of proof-of-concept and production-ready AI capabilities, leveraging advanced analytics, machine learning, and LLM technologies to accelerate investment insights and decision-making.</li><li>
Partner across Investments, Technology, Data, Risk, and Compliance functions to ensure solutions meet enterprise standards for security, governance, scalability, and regulatory compliance.</li><li>
Influence the AI and investment technology roadmap by identifying high-value opportunities, evaluating emerging capabilities, and promoting adoption of innovative solutions across the investment organization.</li><li>
Lead the transition of successful prototypes into sustainable enterprise capabilities, partnering with engineering and platform teams to scale solutions and realize long-term business value.</li></ul><p><b><br>
Required Qualifications</b></p><ul><li>
10+ years of combined experience across investment management, quantitative research/strategy, and hands-on software or AI engineering, with demonstrated success taking investment problems from concept to working solution.</li><li>
Direct experience working alongside trading desks, portfolio managers, or investment researchers, with desk strategist, quant strat, or research technologist backgrounds strongly preferred.</li><li>
Hands-on experience building and shipping LLM enabled/integrated applications: RAG/embeddings, agentic workflows, prompt engineering, API integration.</li><li>
Strong Python development skills producing production-quality code.</li><li>
Expertise with cloud infrastructure and modern software practices (CI/CD, version control, API design).</li><li>
Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) at a level where you can challenge and contribute to investment discussions, not just support them.</li><li>
Track record of delivering secure, auditable AI solutions in a regulated environment, partnering with risk and compliance.</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Direct experience supporting front-office investment teams (portfolio managers, analysts, researchers, traders).</li><li>
Familiarity with agent frameworks and orchestration tools (LangChain, LangGraph, LlamaIndex, MCP) and vector databases.</li><li>
Experience building internal copilots, research assistants, or document-intelligence tools.</li><li>
CFA, FRM, or equivalent investment credential.</li><li>
Track record of shipping AI or analytics solutions that produced measurable, real-world outcomes.</li></ul><p></p><p><b>
Visa Sponsorship</b><br>
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).</p><p></p><p><b>
In-Office Collaboration</b><br>
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders &mdash; clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.</p><p></p><p><b><br>
Base Pay Salary</b></p><p></p>
The estimated base salary for this role is $242,100 - $332,900 / year. We have a pay-forperformance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.<p></p><div><div><div><div><div><div><div><p><b>
Full-Time/Part-Time</b></p></div></div></div></div></div></div></div>
Full time<p></p><div><div><div><div><div><div><div><p><b>
Exempt/Non-Exempt</b></p></div></div></div></div></div></div></div>
Exempt<p></p><div><div><div><div><div><div><div><p><b>
Job Family Group</b></p></div></div></div></div></div></div></div>
Data<p></p><div><div><div><div><div><div><div><p><b>
Line of Business</b><b>
</b></p></div></div></div></div></div></div></div>TECH Technology<p></p><p><i>
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.</i></p><p></p><p><i>
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.</i></p></div>

Vice President - Forward Deployed Engineer

Product Marketing Lead, Instagram Reels Monetization and Ads Experiences

<div>Meta is seeking a Security Engineer to join our Applied Artificial Intelligence (AAI) organization. As a Security Engineer in AAI, you will apply deep domain expertise to solve hard, real-world security problems, building novel security capabilities, prototyping AI-powered defenses, and advancing the frontier of what AI systems can do in security. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement.You will blend hands-on security engineering with applied research: designing and executing novel approaches to security challenges that push both the state of Meta's security posture and the state of the art in AI-driven security. This includes building security products and tools, conducting original adversary research, developing detection and response capabilities, and translating security expertise into scalable, AI-native systems. Your domain knowledge &mdash; whether in detection engineering, threat intelligence and adversary analysis, cloud security, adversary simulation, mobile and platform security, forensic investigation, or emerging areas like AI/ML security &mdash; becomes the foundation for capabilities no existing AI system can replicate.This role is for security practitioners who want to operate at the intersection of deep security expertise and frontier AI &mdash; not just using AI as a tool, but shaping what it becomes.<br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Security Engineer, Applied AI Responsibilities:
</b><br>
</h3><ul><li>Apply deep security domain expertise to identify, scope, and solve complex security problems that require multi-step reasoning, novel approaches, and expert judgment</li><li>
Build security products, tools, and capabilities &mdash; prototyping AI-driven solutions to real-world security challenges at Meta's scale</li><li>
Design and execute adversarial research, threat intelligence analysis, detection engineering, platform security research, or investigation workflows augmented by AI tools and agents</li><li>
Identify where AI models lack security reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback</li><li>
Develop novel methodologies and reusable approaches that advance both Meta's security posture and AI system performance in security domains</li><li>
Collaborate with model researchers to translate security expertise into training signal &mdash; decomposing hard problems into structured challenges that teach models to reason like security experts</li><li>
Partner cross-functionally with engineering, product, and research teams to incorporate security innovations into production AI systems</li><li>
Drive end-to-end execution of complex security initiatives with independence, contributing to the technical direction within the team</li><li>
Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security community</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience</li><li>
5+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence, incident response, cloud security, adversarial simulation, offensive security, mobile/platform security, or digital forensics</li><li>
Extensive knowledge of attacker tactics, techniques, and procedures</li><li>
Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting</li><li>
Experience building security systems, tools, or capabilities &mdash; not just identifying problems but engineering solutions</li><li>
Demonstrated ability to operate independently on complex, ambiguous security challenges</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience with forensic investigation &mdash; reconstructing attack timelines from evidence across multiple sources</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Contributions to the security community (original research, tools, CTF design, conference presentations, publications, vulnerability disclosures)</li><li>
Background in supply chain security, mobile platform security, network protocol security, or AI/agent security</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Experience improving AI model performance through expert feedback, red-teaming, or evaluation design</li><li>
Experience in planning and executing adversary simulation campaigns or purple team exercises at scale</li><li>
Experience with mobile platform security (iOS/Android), including IPC exploitation, secure enclave analysis, or platform-specific vulnerability research</li><li>
Experience with cloud security operations (AWS/GCP/Azure), cloud detection and response, or cloud-native defense</li><li>
Experience in creating structured methodologies that scale security expertise across teams</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
<br>
<br>
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
<br>
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
<br>
$154,000/year to $217,000/year + bonus + equity + benefits<br>
<br>
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Security Engineer, Applied AI

Explore 16+ Machine learning intern in New York this September. Find roles across top companies and apply now to boost your career.