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HelloFresh

<div><h2 class="jobSectionHeader">Senior Data Analyst</h2>

This is a hybrid role to our Newark, NJ HelloFresh facility
<h2 class="jobSectionHeader">
The role</h2>

As a Senior Data Analyst at HelloFresh, you will anchor the data strategy driving our aggressive, automation-first transformation. Our Global Customer Experience (GCX) team's mission is to understand our customers' journeys and empower market leads with insights and intelligent solutions that improve satisfaction, retention, and efficiency. We are moving fast to scale our self-serve rate, achieve 100% chatbot coverage, improve CSAT, and launch real-time, proactive incident communications via in-app CRM channels.

We need a strategic thought partner for our Product, Engineering, and CX Automation teams who brings a high bar of technical rigor. In this role, you will own our core automation analytics architecture (chatbots, voicebots, agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving open-ended problems and want to directly shape the experience of millions of global customers, you might just be our missing ingredient.
<h2 class="jobSectionHeader">
What you'll do</h2>
<ul><li>Anchor the data strategy for our entire automation and chatbot analytics infrastructure, serving as the sole embedded analytics lead within the Global CX department.</li>
<li>Proactively monitor user intents and trends to diagnose system bugs early and establish standardized, organization-wide KPIs for bot containment and NLP accuracy.</li>
<li>Conduct deep-dive analyses of chat transcripts and user journeys, leveraging semantic clustering and LLM evaluation to uncover friction points and tune conversational flows.</li>
<li>Continuously optimize and secure our reporting environment, ensuring data integrity, normalization, and advanced visualization techniques for critical executive decision-making.</li>
<li>Partner closely with cross-functional teams (Product, Engineering, and CX Automation) to translate complex customer log data and system requirements into sustainable roadmap strategies.</li>
<li>Own and deliver core business reporting mechanisms and dashboards, including the Monthly Business Review (MBR) and EBIT reviews.</li>
</ul><h2 class="jobSectionHeader">What you'll bring</h2>
<ul><li>A passion for driving automation-first transformations and solving complex operational problems within a fast-paced customer experience environment.</li>
<li>Advanced proficiency in Python and SQL to handle increased domain complexity and secure our underlying reporting architecture.</li>
<li>Experience with next-gen agentic workflow stacks (e.g., Claude Code, Cursor) to optimize development and analytical speed.</li>
<li>Proven track record of designing, implementing, and maintaining high-visibility BI solutions and dashboards that communicate trends clearly to Directors, VPs, and SVPs.</li>
<li>Excellent communication and stakeholder management skills, with the confidence to lead complex data analytics projects and influence cross-functional partner</li></ul> 

<h2 class="jobSectionHeader">
You'll get</h2>
<ul><li><ul><li>Competitive Salary &amp; 401k company match that vests immediately upon participation</li>
<li>Generous parental leave of 16 weeks &amp; PTO policy, as well as paid holidays off</li>
<li>$0 monthly premium and other flexible health plans</li>
<li>Amazing discounts, including up to 85% off HelloFresh subscription</li>
<li>Emergency child and adult care services</li>
<li>Snacks &amp; monthly catered lunches</li>
<li>Collaborative, dynamic work environment within a fast-paced, mission-driven company</li></ul></li> 
</ul>
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.
<div>
#data</div></div>

Senior Analyst - CX Automation Intelligence & Insights

Capital One

<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.
 
 
 
 
 Team Description:
 
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 
 In this role, you will:
 
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 
 The Ideal Candidate:
 
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 
 Basic Qualifications:
 
 
 
 
 <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
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <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
 
 
 </li>
 </ul>
 
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 
 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.
 
 
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 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.
 
 
 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.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 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.
 
 
 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>
 
 Overview
 
 
 
 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.
 
 
 
 Team Description:
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 In this role, you will:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 The Ideal Candidate:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 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.
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 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.
 
 
 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.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 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.
 
 
 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)

<div>
 
 Overview
 
 
 
 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.
 
 
 
 Team Description:
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 In this role, you will:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 The Ideal Candidate:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 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.
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 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.
 
 
 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.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 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.
 
 
 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)

Security Engineer, Applied AI

Palo Alto Networks

<div><div>Santa Clara, California, United States of America
 
New York, New York, United States of America
 
Plano, Texas, United States of America Product Engineering Ref ID: JR-020960</div><div> 
</div><div>Our Mission
At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That&rsquo;s why most of our teams work from the office full time, with flexibility when it&rsquo;s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
As a Forward Deployed Engineer (FDE) for AI Gateway, you are a hands-on developer and systems architect who embeds with customer engineering teams. You write production code, design low-latency topologies, and build custom plugins to ship secure enterprise AI workloads to production. You bridge the gap between customer production environments and core engineering&mdash;extending the platform edge while directly contributing code back to the core AI Gateway engine.
Key Responsibilities
<ul><li>Write production-grade code (Python, Go, TypeScript) to integrate AI Gateway with microservices, API meshes, and multi-cloud architectures.
</li><li>Build custom middleware/plugins for identity-aware policies, prompt security, dynamic routing, and telemetry pipelines.
</li><li>Develop automated deployment modules (Terraform, Helm, Kubernetes) and SDK wrappers.
</li><li>Optimize high-throughput, low-latency traffic paths (streaming payloads, caching, load balancing).
</li><li>Lead Architectural Design Reviews (ADRs) with customer Principal Engineers and CISOs for zero-trust deployments.
</li></ul>Qualifications
Required Qualifications
<ul><li>7+ years writing production code (Python, Go, TypeScript/C++), with deep experience in APIs (gRPC, REST, WebSockets) and API gateways (Envoy, Kong).
</li><li>Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases/RAG architectures.
</li><li>Proficiency in Kubernetes, Docker, Terraform, AWS/GCP/Azure, OIDC/OAuth2, and zero-trust networking.
</li></ul>Preferred Qualifications
<ul><li>A hands-on builder who loves pair-programming with customer devs and digging into raw code/traces to solve live outages.
</li><li>Experience thinking like an engineer first and a consultant second.
</li><li>Proven ability to own problems end-to-end.
</li><li>Ability to whiteboard enterprise architecture, debug an API integration, review code, and influence the product roadmap.
</li></ul>Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$147,000.00 - $237,500.00/yr
Our Commitment
We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes</div></div>

Senior Forward Deployed Engineer (Customer Engineering)

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

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