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senior lead ai engineer

Information Technology Senior Management Forum

<div><div>Posted Date
11/07/2025
</div><div>Description
<div>Senior Lead AI Engineer
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></ul><ul><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></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><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></ul><ul><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></ul><ul><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></ul><ul><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></ul><ul><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 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</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 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, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</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><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</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: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. 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).
Senior Lead AI Engineer
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></ul><ul><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></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><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></ul><ul><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></ul><ul><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></ul><ul><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></ul><ul><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 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</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 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, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</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><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</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: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. 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>
</div><div>Salary
225,400.00 - 257,200.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer

Millennium Management

<div>AI Platform Engineer
We&rsquo;re seeking an AI Platform Engineer to contribute to the development and management of cutting-edge AI infrastructure for our complex enterprise environment. In this role, you&rsquo;ll harness your expertise to build infrastructure which enables your team and the firm to manage autonomous agents, machine learning systems and other applications in the AI domain.
You&rsquo;ll design and manage federated AI ecosystems, including MCP servers, agents and enterprise AI tooling, while orchestrating agent deployment across distributed systems and service buses. This role requires technical depth, strong communication, and a passion for building transformative AI infrastructure.
If you&rsquo;re ready to shape the future of AI and thrive in a fast-paced, innovative environment, we want to hear from you!
Key Responsibilities:<ul><li>
Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.</li><li>
Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.</li><li>
Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise service bus integration.</li><li>
Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.</li><li>
Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.</li><li>
Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.</li><li>
Collaborate with development teams to integrate AI-powered tools into existing workflows and CI/CD pipelines.</li><li>
Act as a deployed engineer, traveling to different teams across the firm to teach AI infrastructure best practices and guide adoption.</li><li>
Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.</li></ul>
Qualifications:<ul><li>
Experience: 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.</li><li>
AI Infrastructure: Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.</li><li>
Programming Skills: Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.</li><li>
Enterprise Architecture: Strong understanding of enterprise software architecture patterns and distributed systems design.</li><li>
Cloud Platforms: Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.</li><li>
Containerization: Experience with Docker, Kubernetes, and container orchestration in production environments.</li><li>
API Design: Experience building and managing APIs, microservices, and event-driven architectures.</li><li>
Security: Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.</li><li>
Communication: Strong communication and teaching skills with the ability to work as a deployed engineer across different teams.</li><li>
Education: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.</li></ul>
Preferred Qualifications:<ul><li>
Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.</li><li>
Background in building federated systems or multi-tenant AI platforms.</li><li>
Experience with AI governance, security, and compliance in enterprise environments.</li><li>
Background in information security, penetration testing, or security architecture roles.</li><li>
Familiarity with code generation tools, automated testing frameworks, and AI-powered development workflows.</li><li>
Knowledge of vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures.</li><li>
Experience in DevOps/Platform Engineering roles with focus on developer tooling and productivity.</li><li>
Previous experience managing transitions from traditional to AI-augmented development practices.</li></ul>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

AI Platform Engineer

Norm AI

<div>About Norm Ai
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with auditability, reliability, and trust.
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.
Norm Ai has raised more than $100 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, and Marc Benioff.
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. Norm hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in breaking down legal workflows into units of analysis targeted enough to reliably leverage Large Language Models (LLMs) for reasoning. The granular LLM outputs that constitute a given workflow are orchestrated in a logically structured and human interpretable manner and rigorously validated against data and expertise. The resulting dynamic systems can complete the first pass of the legal workflow and provide detailed explanations.
We also developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.
Norm Ai technology is deployed inside some of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.<h3 class="jobSectionHeader">
This Role</h3>
As a Forward Deployed Legal Engineer at Norm Ai, you&rsquo;ll operate at the intersection of law, technology, and go-to-market execution. You&rsquo;ll serve as a client-facing legal and product expert partnered with Norm Ai Account Directors to demonstrate how Norm Ai&rsquo;s technology can transform the way organizations interpret and implement complex regulations.
This is a Go-to-Market role for a product and sales-oriented lawyer who thrives in fast-paced, dynamic client environments. In this role, you will distill evolving legal, compliance, and regulatory challenges into practical, AI-enabled solutions for prospective clients through live demos, proof-of-concept deployments, and custom workshops. You&rsquo;ll be the bridge between our platform&rsquo;s pioneering AI capabilities and the prospective client&rsquo;s legal, compliance, and operational objectives, driving adoption and business outcomes.
You&rsquo;ll work cross-functionally with Sales, Product, Marketing, Legal Engineering, Design, Strategy, and AI Engineering to scope solutions, communicate technical and legal value propositions, and ensure smooth transitions from sales to deployment. Success in this role requires intellectual curiosity, exceptional communication skills, and the ability to engage with C-suite stakeholders, engineers, and legal teams alike.<h3 class="jobSectionHeader">
In this role, you'll support:</h3>
Pre-Sales Enablement &amp; Client Engagement<ul><li>
Partner with Account Directors to lead discovery conversations, map client pain points to Norm Ai&rsquo;s solutions, and design compelling demos and proof-of-concept engagements.</li><li>
Serve as the legal and regulatory voice in pre-sales discussions, contextualizing how Norm Ai&rsquo;s AI platform addresses compliance and regulatory workflows.</li><li>
Develop tailored presentations, prototypes, and collateral that align with industry-specific regulations and client needs.</li><li>
Translate client feedback and engagement insights into actionable guidance for product and go-to-market teams.</li></ul> 
Go-to-Market Execution<ul><li>
Support product launches and go-to-market campaigns by contributing legal and regulatory perspectives.</li><li>
Create thought leadership materials, webinars, and case studies demonstrating the application of Norm Ai&rsquo;s technology to real-world compliance challenges.</li><li>
Partner with marketing and client engagement to position Norm Ai as a trusted authority on AI-driven compliance automation.</li></ul> 
Strategic Collaboration &amp; Enablement<ul><li>
Work cross-functionally with Product and AI Engineering to translate field learnings into product improvements and roadmap priorities.</li><li>
Act as a trusted internal advisor, educating Norm Ai teams on emerging regulatory trends and client expectations.</li><li>
Ensure seamless handoff from sales to deployment, setting clients up for long-term success.</li></ul><h3 class="jobSectionHeader"> 
Skills &amp; Experience &mdash; Core</h3><ul><li>
Juris Doctor (JD) required, with 2-4 years of legal or compliance experience in BigLaw, regulatory, or highly regulated industry environments.</li><li>
Strong understanding of how businesses operationalize regulatory and compliance obligations.</li><li>
Excellent communication and presentation skills, with a demonstrated ability to engage senior stakeholders and simplify complex legal concepts.</li><li>
Technical curiosity and comfort working with AI or legal technology tools.</li><li>
Self-starter who thrives in ambiguity, with exceptional project management and organizational skills.</li></ul><h3 class="jobSectionHeader"> 
Skills &amp; Experience &mdash; Pluses</h3><ul><li>
Prior experience in product, legal technology, consulting, or SaaS pre-sales roles.</li><li>
Background in financial services, insurance, or data privacy regulatory domains.</li><li>
Prior experience working with AI-driven or compliance automation tools.</li><li>
Enthusiasm for engaging in open-ended, exploratory conversations with prospective clients to develop innovative solutions to their legal and compliance challenges.</li></ul><h3 class="jobSectionHeader">
What Success Looks Like</h3>
30 Days<ul><li>
Develop a deep understanding of the Norm Ai platform and value proposition.</li><li>
Partner with Sales to observe and support initial client demos and discovery sessions.</li><li>
Build comfort translating regulatory concepts and client requirements into the platform&rsquo;s capabilities.</li></ul> 
60 Days<ul><li>
Independently lead client-facing demos and proof-of-concept engagements.</li><li>
Provide substantive feedback to product and go-to-market teams based on client interactions.</li><li>
Produce materials and narratives that help advance strategic sales opportunities.</li></ul> 
90 Days<ul><li>
Serve as the legal and technical expert on multiple client opportunities.</li><li>
Influence product and GTM strategy through insights from the field.</li><li>
Be recognized as a trusted, forward-deployed representative of Norm Ai&rsquo;s legal and AI capabilities.</li></ul>
Comp and Benefits
$175,000 - $225,000 a year plus bonus and equity.
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
We embrace a hybrid model, in-office 4-5 days per week.
To learn more about Norm Ai, visit our website.</div>

Legal Engineer - Forward Deployed

<div>Job Description:
<div>
AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and AI assets should not only be high quality but also drive a sustained competitive advantage and deliver a superior experience to our internal, external customers and improve efficiency. Our Innovation, Data &amp; Analytics function is focused on driving innovation by optimizing how we leverage digital, data and AI to drive strategy and differentiate ourselves from the competition.
As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital and AI capabilities, we are looking for an Associate AI Engineer. In this role, you will contribute to developing our AI technical capabilities, projects and products that seek to yield a significant business benefit and advantage in the market through execution on innovation.</div><div></div><h2 class="jobSectionHeader"> 
What you&rsquo;ll be doing</h2>
What will your essential responsibilities include?<ul><li>
Contribute into a team effort of building scalable AI capabilities to drive the solutions which will enable functions across the insurance value chain such as underwriting, pricing, claims, distribution, operations etc.</li><li>
Exercise and develop robust data science, GenAI and software development skills and support solution delivery by following the lead of senior technical members.</li><li>
Ensure high-quality software delivery by following code review process and standard.</li><li>
Be able to clearly communicate the expectations of development effort and help set up the project timeline by collaborating with project managers, senior data scientists and software developers</li></ul><div>
In this role, you will report to the Division Lead, Data Science and AI Excellence.</div><div></div><h2 class="jobSectionHeader"> 
What you&rsquo;ll bring</h2>
We&rsquo;re looking for someone who has these abilities and skills:
Required Skills and Abilities:<ul><li>
Hands-on knowledge and experience in the life cycle of AI technical capability development, from ideation and data exploration to model training, selection, deployment, and monitoring.</li><li>
Requires a combination of solid execution, strategic thinking and ability to &lsquo;connect the dots&rsquo;</li><li>
A minimum of a bachelor&rsquo;s or master&rsquo;s degree in a relevant discipline</li><li>
Supporting multiple specialty areas of Digital, Data and Analytics experience is preferred</li><li>
Passion for digital, data and AI and experience working within a digital and data driven Organization</li></ul><h2 class="jobSectionHeader">
Who we are</h2>
AXA XL, the P&amp;C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don&rsquo;t just provide re/insurance, we reinvent it.
How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business property, casualty, professional, financial lines and specialty.
With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.
Learn more at axaxl.com<h2 class="jobSectionHeader">
What we offer
</h2>Inclusion
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That&rsquo;s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It&rsquo;s about helping one another &mdash; and our business &mdash; to move forward and succeed.<ul><li>
Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.</li><li>
Robust support for Flexible Working Arrangements</li><li>
Enhanced family-friendly leave benefits</li><li>
Named to the Diversity Best Practices Index</li><li>
Signatory to the UK Women in Finance Charter</li></ul> 
Learn more at Inclusion &amp; Diversity at AXA XL | AXA XL. AXA XL is an Equal Opportunity Employer.
Total Rewards
AXA XL&rsquo;s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.
We&rsquo;re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.
Sustainability
At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called &ldquo;Roots of resilience&rdquo;, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
Our Pillars:<ul><li>
Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society &ndash; are essential to our future. We&rsquo;re committed to protecting and restoring nature &ndash; from mangrove forests to the bees in our backyard &ndash; by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.</li><li>
Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.</li><li>
Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We&rsquo;re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.</li><li>
AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL&rsquo;s &ldquo;Hearts in Action&rdquo; programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day &ndash; the Global Day of Giving.</li></ul><div></div> 
For more information, please see Sustainability at AXA XL.
The U.S. base salary range for this position is USD 66,000 &ndash; 105,100.
Actual pay will be determined based upon the individual&rsquo;s skills, experience and location. We strive for market alignment and internal equity with our colleagues&rsquo; pay.
At AXA XL, we know how important physical, mental, and financial health are to our employees, which is why we are proud to offer benefits such as a competitive retirement savings plan, health and wellness programs, and many other benefits. We also believe in fostering our colleagues' development and offer a wide range of learning opportunities for colleagues to hone their professional skills and to position themselves for the next step of their careers. For more details about AXA XL&rsquo;s benefits offerings, please visit US Benefits at a Glance 2025.</div>

Associate AI Engineer

Intercom

<div><div>Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.</div><div><h2 class="jobSectionHeader">
What&rsquo;s The Opportunity?</h2>

Intercom is an AI-first company revolutionizing how customer service is delivered today. Our entire platform is driven by an advanced AI Agent who we call Fin, who blends automation with empathy, setting a new standard in customer support. At Intercom, you&rsquo;ll help shape the future of AI-first customer service, showing our customers the transformative power of artificial intelligence. By inspiring a bold vision and delivering impactful solutions, you&rsquo;ll make AI-powered support not just possible, but a reality for our customers.
<h2 class="jobSectionHeader">
About the Role:</h2>

Intercom is looking for an exceptional Senior Solutions Engineer to join our vibrant Customer Solutions Team. In this role, you&rsquo;ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you&rsquo;ll partner closely with Product, R&amp;D, and Engineering to ensure our customers&rsquo; needs and insights are at the core of our AI powered solutions.
<h2 class="jobSectionHeader">
What Will I Be Doing?</h2>
<ul><li>Lead technical discovery to identify and address our customers&rsquo; needs</li>
<li>Deliver an exceptional pre-sales experience by articulating Intercom's value and technical expertise</li>
<li>Conduct impactful, value-based solution reviews and in-depth technical sessions</li>
<li>Design and lead tailored Proof of Concepts (POCs) that showcase Intercom's capabilities</li>
<li>Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues</li>
<li>Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning</li>
<li>Build trust with customers by approaching challenges with empathy and curiosity</li>
<li>Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Intercom</li>
<li>Commit to customer success, ensuring lasting value and proactively addressing challenges</li>
</ul><h2 class="jobSectionHeader">What Skills Do I Need?</h2>
<ul><li>Minimum of 7 years of experience in a technical pre-sales role, managing C-Level technical and business relationships</li>
<li>Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations.</li>
<li>Ability to solve problems independently while thriving in collaborative team environments</li>
<li>Proven time management skills in a dynamic team environment</li>
<li>Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle.</li>
<li>Leverage your skills in translating complex business challenges into tailored Intercom solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact.</li>
<li>Experience working closely with product and engineering teams to communicate customer feedback and influence product direction.</li>
<li>Familiarity with managing POCs, RFPs, and addressing complex security questions.</li>
<li>Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity</li>
<li>Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks</li>
<li>Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company</li>
<li>Willing and able to travel occasionally</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>

We are a well-treated bunch, with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us!
<ul>
<li>Competitive salary and meaningful equity</li>
<li>Comprehensive medical, dental, and vision coverage</li>
<li>Regular compensation reviews - great work is rewarded!</li>
<li>Flexible paid time off policy</li>
<li>Paid Parental Leave Program</li>
<li>401k plan &amp; match</li>
<li>In-office bicycle storage</li>
<li>Fun events for Intercomrades, friends, and family!</li>
</ul>
The OTE range for candidates in New York is $212,750- $247,250. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).</div><div>
Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Senior Solutions Engineer

Amae Health

<div>
 
 Transforming the lives of those affected by severe mental illness
 
 
 
 At Amae Health, we are dedicated to helping the 15.4 million Americans living with severe mental illness (SMI) lead stable, meaningful lives, while ending the cycle of repeat hospitalizations. In partnership with some of the nation&rsquo;s top academic medical centers we&rsquo;ve pioneered an innovative outpatient care model that combines compassionate, in-person psychiatric care with comprehensive wraparound support. Our integrated care teams &mdash; including psychiatrists, therapists, primary care physicians, health coaches, and peer support specialists &mdash; work together to treat the whole person via a unique model, addressing physical, mental, and social needs in unison. By caring for every aspect of our patients&rsquo; well-being, we help them not just survive, but truly thrive.
 
 
 Amae Health is a Series B venture-backed Public Benefit Corporation dedicated to becoming the nation's center of excellence for individuals living with severe mental illness (SMI). Backed by top-tier venture capital firms and strategic healthcare investors, we collaborate with prestigious health systems including NewYork-Presbyterian, Stanford Healthcare, and Cedars-Sinai, underscoring our commitment to fundamentally transforming mental health care delivery at scale.
 
 
 
 The Team
 
 
 
 At Amae we are a collective of healthcare leaders and technologists on a mission to create a radically different patient-first behavioral health care model that truly transforms patient&rsquo;s lives by integrating care delivery, patient experience, cutting edge technology and research. Join a team of operators, builders and technologists from One Medical, Forward Health, Stanford, UCLA, Hinge Health, Palantir, The Four Seasons, and Brightline as we redefine care for the most vulnerable populations - across the nation, at scale.
 
 
 
 The Opportunity
 
 
 
 As we expand our ability to care for complex patient populations, the core teams that support this work are also growing! We are seeking an Associate Software Engineer to help build and scale Amae Health&rsquo;s patient and clinic facing technology platform. Central to shaping how patients and families access our precision psychiatry services, this role is fundamental to ensuring our solutions are both technically robust and adaptable to the evolving needs of care. As part of the technology team at Amae , you&rsquo;ll help define how software development 3.0 can be harnessed responsibly in healthcare to expand access to life-changing care.
 
 
 
 About You
 
 
 
 You&rsquo;re a full-stack engineer who thrives at the intersection of traditional engineering best practices and the emerging AI-native development paradigm. You&rsquo;re fluent in writing and reviewing production-grade code, but you also bring discernment and pragmatism in how to integrate AI-generated code into a secure, reliable product.
 
 
 You&rsquo;re equally comfortable architecting backend systems as you are collaborating on frontend experiences. You take pride in mentoring peers, raising engineering standards, and ensuring code quality across the stack. You&rsquo;re energized by the fast pace of early-stage work and motivated to build systems that directly improve mental health outcomes for patients and families.
 
 
 
 What You&rsquo;ll Work On
 
 
 
 
 Full-Stack Development
 
 
 
 <ul>
 <li>
 Lead design, implementation, and review of features across the stack, with emphasis on scalable, secure, and maintainable architecture.
 </li>
 <li>
 Build backend services, APIs, and frontend interfaces that power the patient experience.
 </li>
 <li>
 Contribute to both backend and frontend, with flexibility to lean where your strengths are deepest.
 
 
 </li>
 </ul>
 
 AI-Native Engineering (Software 3.0)
 
 
 
 <ul>
 <li>
 Leverage LLMs and AI-native tooling to accelerate development while maintaining rigorous standards.
 </li>
 <li>
 Apply strong code review practices to both human- and AI-generated contributions, ensuring correctness, security, and long-term maintainability.
 </li>
 <li>
 Help define best practices for AI-augmented workflows in production-grade healthcare software.
 
 
 </li>
 </ul>
 
 Collaboration
 
 
 
 <ul>
 <li>
 Partner with product, design, and clinical teams to translate mental healthcare needs into intuitive software.
 </li>
 <li>
 Participate in architectural discussions and guide the evolution of our platform.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Have
 
 
 
 <ul>
 <li>
 1+ years of professional software engineering experience, with proven full-stack contributions
 </li>
 <li>
 Strong fundamentals in modern backend (Node.js, Python, or similar) and frontend frameworks, with Next.js experience preferred
 </li>
 <li>
 Deep familiarity with cloud-native environments (AWS &amp; Vercel)
 </li>
 <li>
 Pragmatic approach to code review: able to spot issues in both human- and AI-generated code, and guide teams toward best practices
 </li>
 <li>
 Excitement about &ldquo;software development 3.0&rdquo;&mdash;working AI-native, but with the maturity to know when traditional approaches are required
 </li>
 <li>
 Collaborative, mission-driven mindset, motivated to improve mental health outcomes at scale
 </li>
 <li>
 This is a full-time in person role based in our San Francisco or Manhattan offices
 
 
 </li>
 </ul>
 
 What We Provide
 
 
 
 <ul>
 <li>
 Health Insurance: Comprehensive medical, dental &amp; vision plans
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 401(k)
 </li>
 <li>
 FSA &amp; HSA savings programs
 </li>
 <li>
 Short &amp; long-term disability
 </li>
 <li>
 Pre-tax commuter assistance program
 </li>
 <li>
 Unlimited paid time off (PTO)
 </li>
 <li>
 Parental Leave - 12 weeks for birth and non birth parent
 </li>
 <li>
 11 company holidays
 
 
 </li>
 </ul>
 Amae Health is committed to fair and equitable compensation practices.
 
 
 Base salary range for this role is $115,000 to $155,000 per year based on a full-time schedule and the compensation package will include equity. Actual compensation packages are based on several factors that are unique to each candidate's experience and professional leveling and it is not typical for an individual to be hired at or near the top of the range. These factors include, but are not limited to, job related knowledge and skill set, depth of experience, certifications, degrees, licensures, and specific work location.
 
 
 
 More About Amae
 
 
 
 
 'Amae',
 
 pronounced &lsquo;
 
 Ah-mai&rsquo;
 
 , is a Japanese concept meaning the need to be in good favor with, and the ability to depend on, the people around oneself. It reflects our core belief that a strong support system is essential to build people up, strengthen their will to carry on and even to thrive in life. This mentality applies across our whole company &ndash; from the patients we serve to the team we&rsquo;re building.
 
 
 We&rsquo;re a Public Benefit Corporation (PBC) that provides outpatient psychiatric and primary care health services through value-based care arrangements. Our model&rsquo;s success is predicated upon achieving outcomes for our patients, not on the volume of services provided.
 
 
 
 Amae Health is an equal opportunity employer and encourages all applicants from every background and life experience to apply.
 
</div>

Associate Software Engineer

DataAnnotation

<div>
 We are looking for a Research Scientist (Chemistry) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level understanding of chemistry. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex chemistry questions and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Solid knowledge of general, organic, and physical chemistry concepts
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #chem
</div>

Research Scientist (Chemistry)

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