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talent acquisition coordinator Jobs in New York

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Ameriprise Financial

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

Vice President - Forward Deployed Engineer

 Jason X Staffing Solutions

<p>This pivotal role is essential for ensuring a seamless and positive experience for patients. The successful candidate will act as the main point of contact, coordinating all aspects of patient care, from scheduling appointments to providing essential information and support. We are looking for a compassionate individual with exceptional communication skills and a passion for delivering outstanding service in a fast-paced environment.<br /><br /><strong>Responsibilities</strong><br /><br />* Serve as the primary liaison between patients, their families, and the clinical team to ensure clear and consistent communication.<br />* Schedule and coordinate patient appointments, consultations, and medical procedures with precision.<br />* Manage and maintain accurate and confidential patient records, ensuring all information is current and compliant with data protection regulations.<br />* Assist patients with administrative tasks, including the completion of necessary forms and providing guidance on billing and insurance enquiries.<br />* Effectively communicate care plans and instructions to patients, ensuring they have a clear understanding of their treatment journey.<br />* Address patient questions and concerns with empathy and professionalism, providing timely resolutions.<br />* Collaborate closely with doctors, nurses, and other healthcare professionals to facilitate integrated patient care.<br />* Perform various administrative duties to support the efficient operation of the clinic.<br /><br /><strong>Qualifications</strong><br /><br />* Proven experience in a healthcare administration, patient services, or a similar role is essential.<br />* Exceptional organisational and time-management skills, with the ability to manage multiple tasks simultaneously.<br />* Strong interpersonal and communication skills, both written and verbal, with a talent for building rapport.<br />* A compassionate and patient-focused approach to all interactions.<br />* Proficiency in using office software and familiarity with Electronic Health Record (EHR) systems is highly advantageous.<br />* The ability to handle sensitive information with the utmost discretion and confidentiality.<br />* Strong problem-solving skills and the capacity to work effectively under pressure.<br /><br /><strong>Benefits</strong><br /><br />* An opportunity to be part of a supportive and professional team dedicated to patient well-being.<br />* Opportunities for professional growth and development.<br />* A rewarding role where you can make a significant positive impact on the lives of patients.</p>

Patient Care Coordinator

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute&ndash;with confidence scoring to know when to automate and when to seek human input.
 <br/>
 <br/>
 We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft.
 <br/>
 <br/>
 You&rsquo;ll spend most of your time advancing our core learning library and building the harness that powers our platform&rsquo;s agents across all customers. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities.
  </li>
  <li>
   Design and implement LLM-powered systems and agentic workflows from concept to production
  </li>
  <li>
   Build agentic features for knowledge management&ndash;think agents that can edit, update, and maintain large knowledge bases autonomously
  </li>
  <li>
   Build reliability and confidence systems&ndash;evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human
  </li>
  <li>
   Architect async, scalable systems that handle complex AI orchestration
  </li>
  <li>
   Contribute to the direction of our AI strategy and product capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You've built complex, production LLM-based systems with real depth&ndash;something with multiple layers of engineering decisions you can walk through in detail
  </li>
  <li>
   You've shipped something meaningful to production and can explain how it evolved
  </li>
  <li>
   You're excited by open-ended problems where the solution might not exist yet
  </li>
  <li>
   You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering
  </li>
  <li>
   You have experience building agents and autonomous systems
  </li>
  <li>
   You can navigate between research papers and production code with equal comfort
  </li>
  <li>
   You're a strong communicator who can clearly explain your work to teammates and customers
  </li>
  <li>
   You have 3+ years of professional experience
   <br/>
   <br/>
  </li>
 </ul>
 Don&rsquo;t meet all of the above traits? We&rsquo;d still love to hear from you. We&rsquo;re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 Edra offers generous compensation and benefits in both New York &amp; London:
 <br/>
 <br/>
 <ul>
  <li>
   Competitive base salary &amp; meaningful equity
  </li>
  <li>
   Top tier health, dental, &amp; vision plans:
  </li>
  <ul>
   <li>
    Top plans with 100% premium coverage in the US (and a One Medical membership)
   </li>
   <li>
    Private medical &amp; dental coverage in the UK
   </li>
  </ul>
  <li>
   Flexible paid time off
  </li>
  <li>
   Lunch provided in office most days, snacks &amp; drinks too
  </li>
  <li>
   A stipend to set up your workspace
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 We work together in person five days a week from our offices in the West Village (New York) and Holborn (London).
 <br/>
 <br/>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $200K - $300K
 <br/>
 <br/>
</div>


AI Engineer (New York)

LTM Limited

<div><b>Role description</b><div><b><br>
Job Title: Specialist &ndash; Product Engineering (Java FSD)
</b></div><div></div><div><b>Work Location</b>- <b>NY, NY</b></div>
<div>
</div><div><b>Job Description:</b></div>
<div>
Senior Java Full Stack Developer with 10 years of experience with strong expertise in Java Spring Boot Microservices and Apache Kafka.</div>
<div>
The role is primarily focused on backend development and requires Hands on experience in designing scalable event driven applications while contributing to modern frontend development.</div>
<div>
Design develop and maintain scalable Java based applications using Java Spring Boot and Microservices.</div>
<div>
Develop and optimize Kafka producers&rsquo; consumers streams and event driven architectures mandatory.</div>
<div>
Build and consume RESTful APIs and integrate with enterprise systems.</div>
<div>
Implement secure high performance and resilient backend solutions.</div>
<div>
Work with relational and NoSQL databases Oracle PostgreSQL MongoDB.</div>
<div>
Perform code reviews troubleshooting and performance tuning.</div>
<div>
Ensure application security, reliability and scalability.</div>
<div>
Develop responsive and user-friendly web applications using ReactJS or Angular.</div>
<div>
Integrate frontend components with backend APIs.</div>
<div>
Implement modern UIUX practices and reusable components.</div>
<div>
Collaborate with business analysts UX designers and product teams.</div>
<div>
10 years of software development experience</div>
<div>
Strong expertise in Core Java Spring Boot Microservices.</div>
<div>
Mandatory Handson experience with Apache Kafka.</div>
<div>
Experience with REST APIs messaging and event driven architecture.</div>
<div>
Strong knowledge of SQL and database design.</div>
<div>
Frontend experience with ReactJS or Angular JavaScript TypeScript HTML5 and CSS3.</div>
<div>
Experience with Git Maven Gradle CICD pipelines and DevOps practices.</div>
<div>
Familiarity with cloud platforms such as AWS Azure or GCP.</div>
<div>
Experience in Financial Services Banking Payments or Capital Markets.</div>
<div>
Knowledge of Kubernetes Docker and containerized deployments</div>
<div>
Bachelors or Master&rsquo;s degree in computer science engineering or a related field</div>
<div>
Mandatory Technologies Java Spring Boot Microservices Kafka ReactJSAngular REST APIs SQL</div><b><br>
Skills</b><br>
<b>Mandatory Skills : </b>Angular, Java, Java Microservices, Java SpringBoot, Kafka<br>
<br>
<b>Other details</b><p><br>
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.</p>
<p>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
<p>The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.</p><p></p>
<b>Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.<p></p><b><br>
Benefits</b><br>
Compensation range: $95,432.00 to $139,600.00 per year<br>
<b>About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Specialist - Product Engineering

Weil, Gotshal & Manges LLP

<div><p><b>Weil</b> seeks the best and brightest talent to join our Administrative Staff team. Our employees are the future of Weil so we invest in their training and development. Our environment embraces and encourages positive-minded professionals who seek to be challenged and acquire knowledge and skills in an atmosphere built on teamwork. Highly skilled and knowledgeable Administrative Staff assist our attorneys in successfully meeting and exceeding client needs and are vital to the overall success of the Firm.</p><p></p><p><b>
Job Description</b></p>
Reporting to the Sr. Manager, AI Acceleration &amp; Administrative Enablement, the person in this role will be a senior, hands-on member of the firm's global AI Enablement team, based in our New York office. This role is for an experienced legal technology or AI enablement professional who combines deep, expert-level fluency in leading AI platforms with the ability to design and deliver training, build trust with senior stakeholders, and drive lasting adoption across business services teams.<br>
<br>
You will own AI enablement, training, and adoption for the firm's New York office and, more broadly, our US regional offices &mdash; serving as the team's resident subject-matter expert on Claude, Gemini, ChatGPT, Copilot, Harvey and other generative AI and legal AI platforms in use across the firm's administrative and business services groups.<div><h2 class="jobSectionHeader"><b>
Primary Objectives:</b></h2></div><ul><li>
Serve as the firm's go-to platform expert across Claude, Gemini, ChatGPT, Copilot, Harvey and other AI tools used by business services professionals, translating platform capabilities into practical, role-specific use cases.</li><li>
Lead the design and delivery of AI training, enablement programs, and adoption campaigns for administrative and business services staff across New York and regional US offices.</li><li>
Build and maintain trusted relationships with regional US business services leadership, practice group administrators, and regional stakeholders to drive habitual AI adoption.</li><li>
Partner with the Sr. Manager, AI Acceleration &amp; Administrative Enablement, and the broader global AI Enablement team to ensure programs align with the firm's global AI strategy while reflecting regional and local nuances.</li><li>
Track platform updates, new AI tool releases, and vendor roadmaps, providing early assessment of relevance to business services workflows.</li></ul><div><h2 class="jobSectionHeader"><b>
Primary Responsibilities and/or Essential Functions:</b></h2></div><p>
AI Platform Expertise</p><ul><li>
Maintain expert-level, hands-on fluency with Claude, Harvey, Gemini, and other AI and legal AI platforms adopted by the firm, including new features, prompt engineering techniques, and known platform limitations.</li><li>
Serve as an escalation point for advanced or unusual platform questions from business services staff across US regional offices.</li><li>
Evaluate new AI tools and platform updates, representing administrative and business services user needs in vendor discussions and firm-wide platform evaluations.</li><li>
Translate platform capabilities into role-specific workflows and use cases for practice assistants, secretaries, and other administrative teams.</li></ul><p></p><p>
Training &amp; Enablement Delivery</p><ul><li>
Design and deliver in-person and virtual training sessions, workshops, and drop-in &ldquo;office hours&rdquo; for New York and US-based business services staff.</li><li>
Develop training materials, playbooks, quick-reference guides, and recorded content tailored to regional US audiences.</li><li>
Track training participation and platform usage/adoption metrics, and report on outcomes to firm leadership.</li></ul><p></p><p>
Change Management &amp; Stakeholder Engagement</p><ul><li>
Build and maintain relationships with New York and regional US business services leadership, office managers, and department heads to identify enablement priorities and address adoption barriers.</li><li>
Support change management planning for AI-related technology rollouts affecting administrative teams.</li><li>
Act as regional liaison between the global AI Enablement team and US offices, ensuring regional feedback informs the firm's global AI strategy.</li></ul><p></p><p>
Collaboration &amp; Mentorship</p><ul><li>
Collaborate with business services groups to incorporate AI, legal technology, or find other opportunities to streamline and increase workflow efficiencies wherever possible.</li><li>
Provide guidance and informal mentorship to administrative staff developing their own AI fluency, and to junior enablement team members as the team scales.</li><li>
Collaborate with Legal Technology Portfolio, Strategy and Ops., IT, Information Security, Compliance, and other teams on responsible, compliant use of AI tools involving firm and client data.</li></ul><div><h2 class="jobSectionHeader"><b>
Knowledge, Skills &amp; Ability:</b></h2></div><ul><li>
7+ years of experience in promoting change through the adoption of technology, change management, and business process improvement in professional organizations.</li><li>
Demonstrated, expert-level, hands-on proficiency with Claude, Gemini, ChatGPT, Copilot, and Harvey, plus working knowledge of other generative AI and legal AI platforms &mdash; able to train others, troubleshoot advanced use cases, and speak credibly to platform capabilities and limitations.</li><li>
Prior experience designing and delivering technology training programs to non-technical, professional audiences.</li><li>
Strong understanding of the working practices of legal administrative and business services teams.</li><li>
Excellent written and verbal communication skills; comfortable presenting to senior stakeholders.</li></ul><p></p><p><b>
Education/Certifications:</b></p><ul><li>
Bachelor's degree required.</li></ul><p></p><p>
Estimated salary range is $150,000 - $200,000. This position is bonus eligible. Compensation decisions within the range are dependent on the facts and circumstances of each case including but not limited to the individual's skills, experience, and qualifications.</p><p></p><p>
Weil, Gotshal &amp; Manges LLP offers a competitive compensation package comprised of base pay and discretionary year-end bonus for eligible employees. Benefits include, but are not limited to medical, dental, vision, disability coverage, life insurance, flexible spending plan and a 401K plan. Weil also offers generous paid time off and holidays. All decisions affecting employment at Weil, Gotshal &amp; Manges LLP are made on the basis of qualification, performance and other pertinent work-related factors, and without discrimination against any person on the basis of race, color, sex, age, religion, national origin, disability, marital status, sexual orientation, gender identity or expression, pregnancy, veteran&rsquo;s status, genetic information or any other legally protected status.</p></div><p></p>

Sr. Advisor, AI Acceleration - Administrative Enablement

<div><div><div><div><div>Location: New York
</div></div></div></div><div><div><div><div>Other locations: Primary Location Only
</div></div></div></div><div><div><div><div><div>Salary: Competitive
</div></div></div></div></div><div><div><div><div>Date: Aug 27, 2026
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
</div></div></div><div><div><div><div>Requisition ID: 1738944
</div></div></div></div><div><p>At EY, we&rsquo;re all in to shape your future with confidence.</p><br>
<p></p>
<p>
We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.</p></div><div></div><p><br>
EY is the only professional services firm with a separate business unit (&ldquo;FSO&rdquo;) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!</p><br>
<p></p>
<p>
The business problems our clients are facing today are not the same problems they have faced in the past. The rapid pace of development in Artificial Intelligence and the technology that enables it has created an urgent need to innovate and adapt to the new global business paradigm. Financial institutions are looking to build smarter and more efficient ways to operate their business, create new revenue streams, and better manage risk, through new opportunities uncovered by their data. We believe that to fully unlock the potential of Artificial Intelligence, we need to look not only at its application, but also at the strategy level for how best to transform the enterprise into one that is technology and data focused and ready for the new age. Our clients&rsquo; problems are becoming increasingly complex while at the same time the need to automate and streamline is rising.</p><br>
<p></p>
<p><b>
The opportunity
</b></p><p>This Senior Manager will serve as a strategic leader for EY FSO&rsquo;s enterprise knowledge transformation agenda, shaping how the firm captures, structures, governs, and scales proprietary knowledge across service lines. This role will provide vision and execution leadership for the design, implementation, productization, and adoption of ontology and knowledge graph capabilities that enable EY to move from siloed and localized know-how to scalable, reusable, machine-readable knowledge systems.</p><br>
<p></p>
<p>
The role will align service lines, business units, technical teams, governance functions, and senior leadership around a common ontology strategy and operating model. The successful candidate will lead the development of enterprise knowledge graphs, semantic models, standards, governance practices, and adoption approaches that encode EY&rsquo;s subject matter expertise, methodologies, source-of-truth structures, data relationships, and institutional knowledge in a scalable form. This individual will also act as a senior change leader, building teams, upskilling professionals, navigating organizational complexity, and demonstrating measurable business impact from ontology-enabled transformation across EY.</p>
<p>
The Senior Manager, Ontology will serve as a strategic leader for EY FSO's enterprise knowledge transformation agenda, shaping how the firm captures, structures, governs, and scales proprietary knowledge across service lines. This role will provide vision and execution leadership for the design, implementation, productization, adoption, and scaling of ontology and knowledge graph capabilities that enable EY to transform siloed and localized know-how into scalable, reusable, and machine-readable knowledge systems.</p>
<p>
Working across service lines, business units, technical teams, governance functions, and senior leadership, this individual will align stakeholders around a common ontology strategy and operating model. They will lead the development of enterprise knowledge graphs, semantic models, standards, governance practices, and adoption approaches that encode EY's subject matter expertise, methodologies, source-of-truth structures, data relationships, and institutional knowledge in a scalable form.</p>
<p>
As a senior change leader, this individual will build teams, upskill professionals, navigate organizational complexity, and deliver measurable business impact through ontology-enabled transformation across EY.</p><br>
<p></p>
<p><b>
Your key responsibilities
</b></p><p>As a Senior Manager focused on Ontology, you will lead the end-to-end design, build-out, implementation, productization, and scaling of EY FSO&rsquo;s ontology and knowledge graph capabilities. You will be responsible for transforming how EY FSO captures, structures, encodes, governs, maintains, and distributes proprietary knowledge across service lines, helping shift the organization from localized and fragmented knowledge practices to enterprise-ready knowledge systems.</p><br>
<p></p>
<p>
You will define and deliver an enterprise ontology strategy that connects information, expertise, methodologies, data, workflows, source-of-truth structures, and insights across the FSO organization. Working across service lines, business units, technical teams, governance functions, and senior leadership, you will design structured, interoperable, and machine-readable knowledge systems that support knowledge discovery, information extraction, semantic search, AI enablement, workflow standardization, and decision-making at scale.</p><br>
<p></p>
<p>
The successful candidate will combine deep expertise in ontology, graph theory, knowledge graphs, semantic modeling, information architecture, and structured knowledge representation with practical experience leading complex transformation initiatives in large, matrixed, and regulated organizations. This is not solely a technical role; it requires a strategic and entrepreneurial leader who can move from ambiguity to execution, influence diverse stakeholders, build new capabilities where limited structure exists, and embed sustainable ways of working across EY.</p>
<p>
As a Senior Manager focused on Ontology, you will define and deliver an enterprise ontology strategy that connects information, expertise, methodologies, data, workflows, source-of-truth structures, and insights across the FSO organization. You will lead the end-to-end design and implementation of structured, interoperable, and machine-readable knowledge systems that support knowledge discovery, information extraction, semantic search, AI enablement, workflow standardization, and decision-making at scale.</p>
<p>
The successful candidate will combine deep expertise in ontology, graph theory, knowledge graphs, semantic modeling, information architecture, and structured knowledge representation with practical experience leading complex transformation initiatives in large, matrixed, and regulated organizations. This is not solely a technical role; it requires a strategic and entrepreneurial leader who can move from ambiguity to execution, influence diverse stakeholders, build new capabilities where limited structure exists, and embed sustainable ways of working across EY.</p><br>
<p></p>
<p><b>
Skills and attributes for success
</b></p><ul><li>Define and lead the vision, objectives, scope, roadmap, governance model, delivery approach, success measures, and adoption strategy for EY's ontology-enabled knowledge transformation agenda across service lines, business units, and enterprise initiatives.</li>
<li>Lead teams in the design, implementation, productization, and scaling of enterprise knowledge graphs, ontologies, taxonomies, semantic models, source-of-truth structures, and structured knowledge systems.</li>
<li>Translate complex, fragmented, and inconsistent business knowledge into scalable ontological models that support knowledge discovery, information extraction, semantic search, workflow standardization, AI-enabled solutions, and enterprise decision-making.
</li></ul><ul><li>Establish standards, naming conventions, quality controls, workflows, governance forums, lifecycle management practices, stewardship models, and operating practices for how knowledge is captured, validated, encoded, maintained, distributed, and reused across EY.
</li></ul><ul><li>Work across service lines and functions to connect siloed information, align competing priorities, identify dependencies, and create consistent ways of working in a highly matrixed and regulated environment.
</li></ul><ul><li>Manage senior stakeholders across business, technology, legal, risk, compliance, operations, and client-facing teams while navigating organizational complexity, blockers, changing priorities, and competing initiatives.
</li></ul><ul><li>Build, manage, develop, and mentor multidisciplinary teams responsible for ontology, knowledge modeling, information architecture, information extraction, workflow design, governance, product delivery, adoption, and implementation.
</li></ul><ul><li>Support digital transformation by helping EY leaders and teams understand, adopt, and apply ontology, knowledge graphs, AI, and structured knowledge systems at scale.
</li></ul><ul><li>Report progress, risks, blockers, adoption, product maturity, and measurable impact to senior leadership in a clear and actionable way.</li><br>
</ul>
<p></p><p><b>To qualify for the role, you must have</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Science, Data Science, Knowledge Management, Engineering, Business, or a related field; advanced degree preferred.</li>
</ul><ul><li>12+ years of related experience, or 9+ years with a graduate degree, including significant experience leading complex transformation initiatives in large, matrixed organizations.</li>
<li>Proven track record designing, implementing, and scaling ontology, knowledge graph, semantic modeling, or structured knowledge management solutions, with deep expertise in knowledge representation, metadata, and information architecture to transform fragmented organizational knowledge into governed, reusable, and scalable enterprise assets.</li>
<li>Experience defining governance models, standards, workflows, quality controls, stewardship practices, operating models, and adoption approaches across multiple teams, functions, or business units.</li>
</ul><ul><li>Proven ability to manage senior stakeholders, influence across a matrixed organization, and align competing priorities across business, technology, legal, risk, compliance, operations, and client-facing teams.</li>
</ul><ul><li>Experience leading and developing multidisciplinary teams, including coaching, mentoring, upskilling, prioritizing work, managing delivery, and creating accountability for measurable outcomes.</li>
</ul><ul><li>Ability to translate complex ontology, data, AI, and knowledge management concepts into clear business language, executive narratives, implementation plans, and business impact.</li>
</ul><ul><li>Experience operating in regulated, controlled, and fast-changing environments with ambiguity, blockers, inconsistent information, red tape, and competing priorities.</li>
</ul><ul><li>Ability and willingness to travel and work outside standard hours when necessary.</li></ul><br>
<p></p>
<p><b>
Ideally, you&rsquo;ll also have</b></p>
<ul>
<li>Prior consulting experience</li></ul><br>
<p></p>
<p><b>
What we look for</b></p>
<p>
We are seeking a strategic leader to build and scale EY's ontology and knowledge graph capabilities, transforming fragmented knowledge into connected, AI-ready enterprise assets. The successful candidate will influence senior stakeholders, lead large-scale transformation initiatives, and establish sustainable practices for knowledge governance and adoption across the organization.</p>
<p>
This role is ideal for someone with expertise in ontology, knowledge graphs, semantic technologies, and AI-enabled knowledge systems, combined with a proven ability to build teams, drive change, and deliver measurable business impact.</p><br>
<p></p>
<p><b>
What we offer you</b></p>
<p>
At EY, we&rsquo;ll develop you with future-focused skills and equip you with world-class experiences. We&rsquo;ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.</p><br>
<p></p>
<p>
Are you ready to shape your future with confidence? Apply today.</p><br>
<p></p>
<p>
To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.</p><br>
<p></p>
<p>
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.</p><br>
<p></p>
<p>
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.</p><br>
<p></p>
<p>
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.</p><br>
<p></p>
<p>
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.</p><br>
<p>
</p><p>EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY&rsquo;s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.</p><p></p><div><br>
<p><b>
What we offer you</b><br>
At EY, we&rsquo;ll develop you with future-focused skills and equip you with world-class experiences. We&rsquo;ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.</p>
<ul>
<li>We offer a comprehensive compensation and benefits package where you&rsquo;ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.</li>
<li>Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.</li>
<li>Under our flexible vacation policy, you&rsquo;ll decide how much vacation time you need based on your own personal circumstances. You&rsquo;ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.</li></ul><br>
<p></p>
<p><b>
Are you ready to shape your future with confidence? Apply today.</b><br>
EY accepts applications for this position on an on-going basis.</p><br>
<p></p>
<p>
For those living in California, please click here for additional information.</p><br>
<p></p>
<p>
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.</p><br>
<p></p>
<p><b>
EY | Building a better working world</b></p><br>
<p></p>
<p>
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.</p><br>
<p></p>
<p>
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.</p><br>
<p></p>
<p>
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.</p><br>
<p></p>
<p>
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.</p><br>
<p></p>
<p>
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY&rsquo;s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.</p></div></div>

Senior Manager - Financial Services - CTO, Semantic AI and Enterprise Knowledge Transformation

Capital One

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
 <br/>
 <br/>
 <strong>
  Team Description:
  <br/>
  <br/>
 </strong>
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 <br/>
 <br/>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
  </li>
  <li>
   Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  </li>
  <li>
   Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  </li>
  <li>
   Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.
  </li>
  <li>
   Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Ideal Candidate:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
  </li>
  <li>
   Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
  </li>
  <li>
   You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
  </li>
  <li>
   You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
  </li>
  <li>
   You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  </li>
  <li>
   At least 4 years of experience programming with Python, Go, Scala, or Java
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  </li>
  <li>
   Experience designing, developing, delivering, and supporting AI services
  </li>
  <li>
   Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
  </li>
  <li>
   Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  </li>
  <li>
   Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  <br/>
  <br/>
 </em>
 The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
 <br/>
 <br/>
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 <br/>
 <br/>
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 <br/>
 <br/>
 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
 <br/>
 <br/>
 This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
 <br/>
 <br/>
 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
 <br/>
 <br/>
 This role is expected to accept applications for a minimum of 5 business days.
 <br/>
 <br/>
 No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
 <br/>
 <br/>
 If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 <br/>
 <br/>
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 <br/>
 <br/>
 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
 <br/>
 <br/>
 Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div>


Lead AI Engineer (FM Hosting, LLM Inference)

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