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ai engineer iii - global dining technology Jobs in New York

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ai engineer iii global dining technology

American Express

<div><p>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
</p><p>The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
</p><p>The U.S. Consumer Services and Membership Digital Experiences Technology team (USCDT) brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), marketing and advertising technology, enterprise communications, travel and lifestyle, and dining technology. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.
</p><p>American Express Global Dining brings together world-class experiences through platforms like Resy, Tock, and Rooam, creating seamless connections between diners and restaurants, and the broader Amex Membership ecosystem. Our mission is to define the future of hospitality and dining through technology, data, and design.
<br>
As part of Team Amex, you&rsquo;ll experience a culture built on innovation, shared values, and an unwavering commitment to back our customers and colleagues. You&rsquo;ll have the support, flexibility, and autonomy to make an impact while helping shape the future of how people discover, book, and enjoy dining experiences worldwide.
</p><p>At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
</p><p>Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
</p><p>We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
</p><p><b>The Role
</b></p><p>As an AI Engineer III &ndash; Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
<br>
You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.
</p><p>This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.</p></div>
<br><div><ul><li>4+ years of professional software engineering experience.
</li><li>Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
</li><li>Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
</li><li>Familiarity with APIs, basic cloud concepts, and modern development practices.
</li><li>Interest in agentic AI systems, autonomy, and AI-assisted development workflows.
</li><li>Willingness to learn, take feedback, and grow technical ownership over time.
</li><li>Comfort working in collaborative, cross-functional teams.
</li><li>A strong customer mindset and curiosity about real-world problem solving.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
</li><li>Internship or early-career experience in fintech or other regulated environments.
</li>Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.<br>
<li>
</li></ul><p></p><p>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.</p></div>
<br><div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
</p><p>As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p></div>
<br><div><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><p></p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
</p><div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.<br>
</div><div></div><br>
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.<br>
</div><div></div><br>
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

AI Engineer III - Global Dining Technology

G-III Apparel Group

<div>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  G-III Apparel Group
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; Analytics
 </p>
 <p>
  <strong>
   Reporting To:
  </strong>
  VP Data Insights
 </p>
 <p>
  <strong>
   Location (On-Site):
  </strong>
  New York, NY - Fashion District
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About G-III Apparel Group, Ltd. | www.g-iii.com
  </strong>
 </p>
 <p>
  G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company&rsquo;s broader data and analytics strategy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems
  </li>
  <li>
   Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making
  </li>
  <li>
   Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy
  </li>
  <li>
   Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis
  </li>
  <li>
   Work with engineering teams to implement automated anomaly detection and data monitoring solutions
  </li>
  <li>
   Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards
  </li>
  <li>
   Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services
  </li>
  <li>
   Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts
  </li>
  <li>
   Contribute to the development of data governance standards, data documentation, and metadata management practices
  </li>
  <li>
   Support continuous improvement of the data platform through automation, testing, and performance optimization
  </li>
  <li>
   Ensure timely and reliable data delivery to support operational and strategic business needs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <em>
   Required:
  </em>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience
  </li>
  <li>
   3+ years of experience in data engineering or a similar data infrastructure role
  </li>
  <li>
   Strong proficiency in SQL and experience working with large relational datasets
  </li>
  <li>
   Programming experience in Python (including data processing libraries such as PySpark)
  </li>
  <li>
   Experience designing and implementing ETL/ELT pipelines and data integration workflows
  </li>
  <li>
   Experience with modern cloud platforms such as AWS, Azure, or GCP
  </li>
  <li>
   Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling
  </li>
  <li>
   Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar)
  </li>
  <li>
   Understanding of data modeling, data governance, and data quality best practices
  </li>
  <li>
   Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks
  </li>
  <li>
   Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences
  </li>
  <li>
   Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Preferred:
  </em>
 </p>
 <ul>
  <li>
   Experience building scalable pipelines using Spark or distributed processing frameworks
  </li>
  <li>
   Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks
  </li>
  <li>
   Exposure to streaming or real-time data architectures
  </li>
  <li>
   Experience implementing data quality frameworks and governance programs
  </li>
  <li>
   Familiarity with business intelligence tools such as Power BI
  </li>
  <li>
   Prior experience in retail, fashion, or consumer products industries
  </li>
  <li>
   Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity
  </li>
  <li>
   Master&rsquo;s degree in a related quantitative or technical field
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   Competitive base salary and performance-based incentives
  </li>
  <li>
   Comprehensive medical, dental, and vision benefits
  </li>
  <li>
   401(k) with company match
  </li>
  <li>
   Paid time off, holidays, and company-sponsored wellness benefits
  </li>
  <li>
   Employee discounts across G-III brands
  </li>
  <li>
   A collaborative, entrepreneurial work environment with career growth opportunities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation
  </strong>
 </p>
 <p>
  <strong>
   Salary Range: $120,000 &ndash; $135,000 base (commensurate with experience)
  </strong>
 </p>
 <p>
  <em>
   Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   G-III&rsquo;s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi&rsquo;s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.
  </em>
 </p>
</div>


Data Engineer

American Food & Vending

<div><p><b>Pay:</b> $110000 per year - $140000 per year<br>
</p><p></p><br>
<p>U.S. work authorization without employer sponsorship is required.<br>
</p><p></p><br>
<p><b>Location:</b> Remote Work, NY</p><p></p><p><b><br>
Time Zone Requirement: </b>US/Eastern</p><p></p><p><b><br>
Summary:</b></p><p>
The Enterprise Automation &amp; AI Engineer will build automation, workflows, and AI-driven solutions across the business. This role will leverage platforms such as ServiceNow, Microsoft 365 (Power Platform, SharePoint, Teams), and emerging AI tools (ChatGPT, Copilot) to simplify processes, reduce manual effort, and improve how our teams operate.</p><p></p><p><br>
This position is part of the Enterprise Platforms Team and works closely with business stakeholders and a Business Systems Analyst to translate needs into scalable, platform-based solutions. The ideal candidate is a builder who thrives in a fast-moving environment and enjoys solving real business problems with modern tools.</p><p></p><p><br>
This role will play a key part in advancing the organization&rsquo;s use of automation and AI to drive efficiency, improve decision-making, and enable scalable business operations.</p><p></p><p><b><br>
Responsibilities</b>:</p><ul><li>
Design and implement workflows and automations using platforms such as ServiceNow and Microsoft Power Platform (Power Automate, Power Apps)</li><li>
Build scalable, reusable solutions that replace manual or inefficient processes</li><li>
Partner with business stakeholders and the Business Systems Analyst to understand needs and translate them into technical solutions</li><li>
Evaluate and determine the appropriate platform for each use case (ServiceNow, Microsoft 365, AI tools or Other)</li><li>
Identify and implement opportunities to leverage AI and automation to eliminate manual work and improve business outcomes</li><li>
Design solutions that are scalable, maintainable, and reusable across departments rather than one-off implementations</li><li>
Develop and support AI-driven solutions using tools such as ChatGPT and Microsoft Copilot</li><li>
Integrate systems using APIs, connectors, and data flows to enable end-to-end automation</li><li>
Contribute to platform governance, including standards for data, workflows, and solution design</li><li>
Support and guide third-party vendors delivering platform solutions, particularly within ServiceNow</li><li>
Document solutions and contribute to internal knowledge sharing</li><li>
Continuously identify opportunities to improve processes, increase automation, and enhance productivity across the organization</li><li>
Take ownership of solution design and ensure appropriate platform selection and implementation approach</li></ul><p>
Success in the role (first six months):</p><ul><li>
Deliver multiple automation and workflow solutions that reduce manual effort and improve efficiency</li><li>
Successfully partner with the Business Systems Analyst to translate business needs into working solutions</li><li>
Implement at least one AI-driven solution that demonstrates clear business value</li><li>
Contribute to a repeatable approach for intake, prioritization, and delivery of platform solutions</li><li>
Establish credibility with business stakeholders as a go-to resource for automation and process improvement</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in information technology, Computer Science, Business Information Systems, or a related field</li><li>
Equivalent practical experience will also be considered</li><li>
3&ndash;6+ years of experience building solutions using platforms such as Microsoft Power Platform, ServiceNow, or similar workflow/automation tools</li><li>
Hands-on experience developing workflows, automations, or low-code applications</li><li>
Strong understanding of business process design and process improvement</li><li>
Experience working across multiple platforms and selecting the right tool for the job</li><li>
Familiarity with integration methods such as APIs, connectors, and data flows</li><li>
Experience collaborating with both technical teams and business stakeholders</li><li>
Hands-on experience building or configuring AI-driven solutions such as custom GPTs, Copilot agents, or similar tools to automate workflows or support business processes</li><li>
Ability to balance speed of delivery with scalability and maintainability</li><li>
Travel Expectations, 10%</li></ul><p></p><p><b><br>
About Us:</b></p><p>
American Food &amp; Vending began vending operations in Ithaca, NY, over eighty years ago and has become one of the largest privately held hospitality service partners in the United States.</p><p><br>
</p><p>As a family-owned boutique company, we have evolved into a dining and catering service provider. In 2012, the second and third family generations expanded the company nationally by adding our dining division, American Dining Creations. Today we provide service to guests in 24 states, over 50 cities, and employ more than 2,000 employees.</p><p></p><p><br>
American Food &amp; Vending and American Dining Creations strongly focus on service, technology, partnerships, and hospitality, which is evident in everything we do. Our national ranking as one of the Top 50 Contract Management Companies highlights our commitment to excellence.</p><p><br>
</p><p>We are a company of culinary enthusiasts. Our award-winning chefs are always exploring innovative, creative, and on-trend dining and refreshment solutions. As part of our combined services, we provide caf&eacute; dining, mobile ordering, catering, events, grab-and-go programs, vending and refreshment solutions, advanced micro markets, coffee services, pantry services, water filtration and purification.</p><p><br>
</p><p>We are committed to enhancing the guest experience and partnering with our communities to provide outstanding service, innovation, sustainability, and customization.</p><p></p><p><b><br>
American Food &amp; Vending Offers:</b></p><ul><li>
 Weekly Pay</li><li>
 401K with company match</li><li>
 Employee Referral Bonus Program</li><li>
 Employee Assistance Program</li><li>
 Eligible employees offered Medical, Prescription, Dental, and Vision Plans</li></ul><p></p><p><b><br>
American Food &amp; Vending is an Equal Opportunity Employer.</b></p><p></p><p><b><br>
Chat with Scout, our virtual hiring assistant to apply for this position right from your mobile device. Text JOB to 315-803-6049 to get started!</b></p></div>

Enterprise Automation & AI Engineer

<div><p>Senior Vice President, Full-Stack Engineer</p><p>
At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.</p><p>
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.</p><p>
We&rsquo;re seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our Equities Engineering team in <b>Execution Services Platform</b>. This role is in New York, NY.</p><p>
In this role, you&rsquo;ll make an impact in the following ways:</p><ul><li>
Architecture &amp; Design Leadership: Play a lead role in the design, architecture and implementation of trading, sales, and operations workflows, ensuring alignment with business goals and engineering best practices.</li><li>
Trade-Flow Platform Development: Design and build flexible, scalable trade-flow software capable of handling diverse client-side and OMS-side integration patterns and high-throughput scenarios.</li><li>
Cross-functional Collaboration: Partner closely with Product, Trading, Operations, and Engineering teams to translate complex business requirements into robust, scalable technical solutions.</li><li>
Technology Innovation: Work alongside a cross-functional engineering team to evaluate and adopt emerging technologies, contributing to a modern, high-performance technology stack.</li><li>
AI-Driven Automation: Champion an AI-first mindset by driving automation initiatives, intelligent code refactoring, and the adoption of AI tooling to improve developer productivity and system efficiency.</li><li>
Engineering Excellence: Deliver well-designed, testable, secure, and performant code through hands-on programming, rigorous code reviews, and adherence to engineering standards.</li><li>
Production Support: Provide second-level production support, troubleshoot complex system issues, and contribute to incident resolution and post-mortem processes.</li><li>
Mentorship &amp; Technical Leadership: Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, technical growth, and engineering craftsmanship.</li></ul><p>
To be successful in this role, we&rsquo;re seeking the following:</p><ul><li>
Bachelor&rsquo;s degree in computer science or a related discipline, or equivalent work experience required, advanced degree preferred.</li><li>
Industry Experience: 10+ years of experience designing, building, and delivering real-time, scalable, and resilient software applications within Financial Services or similarly complex, high-throughput domains.</li><li>
Core Backend Proficiency: Deep expertise in Java and the Spring ecosystem &mdash; including Spring Framework, Spring Boot, Spring Security, Spring Data, and ORM frameworks &mdash; with a strong focus on building production-grade, enterprise-scale services.</li><li>
Frontend Development: Proficiency in modern front-end technologies including Angular, TypeScript/JavaScript, HTML/CSS, with working knowledge of jQuery and component-based UI architecture.</li><li>
Data &amp; Persistence: Strong command of relational and analytical database technologies, e.g., Oracle / Microsoft SQL Server, with experience in data modeling, query optimization, and large-scale data management.</li><li>
Messaging &amp; Middleware: Hands-on experience with messaging and middleware technologies such as Apache Kafka, IBM MQ, the FIX protocol, with an understanding of event-driven and asynchronous system design.</li><li>
Agile Delivery: Solid understanding of Scrum and Agile methodologies, with a proven ability to deliver in fast-paced, rapidly evolving environments with shifting priorities.</li><li>
Communication &amp; Leadership: Excellent written and verbal communication skills; able to clearly articulate technical concepts to both technical and non-technical stakeholders. Strong organizational skills to coordinate, influence, and drive cross-team initiatives.</li><li>
Problem Solving &amp; Innovation: Demonstrated ability to analyze complex, ambiguous problems and devise pragmatic, innovative solutions &mdash; balancing technical rigor with delivery speed.</li><li>
AI-Augmented Development: Familiarity with one or more AI coding and productivity tools (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code), with a willingness to leverage AI-assisted workflows to accelerate development and improve code quality.</li><li><b>
(Note: We value T-shaped engineers &mdash; deep expertise in one discipline (backend or frontend) with broad familiarity across the stack is preferred over equal but shallow coverage of both)</b></li></ul><p><br>
At BNY, our culture speaks for itself, check out the latest BNY news at:</p><p>
BNY Newsroom</p><p>
BNY LinkedIn</p><p>
 Here&rsquo;s a few of our recent awards:</p><ul><li>
America&rsquo;s Most Innovative Companies, Fortune, 2025</li><li>
World&rsquo;s Most Admired Companies, Fortune 2025</li><li>
&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul><p><br>
Our Benefits and Rewards:</p><p>
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.</p><p>
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.<br>
<br>
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.<br>
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</p></div>

Senior Vice President, Full-Stack Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li>Strong Insurance domain knowledge with Scrum Master experience in complex technology programs
</li></ul><ul><li>Familiarity with AI / GenAI delivery life cycles and experimentation models
</li></ul><ul><li>Hands-on experience with Agile tooling (Jira, Confluence)
</li></ul><ul><li>Excellent stakeholder communication and team coaching skills
</li></ul><div>Roles &amp; Responsibilities
</div><ul><li>Facilitate Agile ceremonies (planning, stand-ups, reviews, retrospectives)
</li></ul><ul><li>Own sprint planning, backlog refinement, and delivery tracking
</li></ul><ul><li>Work as Product Owners and work with Architects to convert AI use cases into executable stories
</li></ul><ul><li>Track risks, dependencies, and impediments specific to AI delivery
</li></ul><ul><li>Manage Agile tools (Jira, Confluence) and delivery dashboards
</li></ul><ul><li>Ensure Definition of Done includes quality, validation, and governance for AI solutions
</li></ul><ul><li>Communicate progress clearly to senior stakeholders</li></ul><br>
<div></div>
<div><br>
</div><div></div><br>
<div>Salary Range: $110,000 to $150,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>406644</div>
</div><div><div><b>Desired Skills</b></div>
<div>scrum master</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

GEN AI Scrum Master

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><br>
<div><p>We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack.
</p></div><div><p>As Lead Machine Learning Engineer on the Recommendation Engine team, you&rsquo;ll build and maintain pipelines for distributed model training on large compute clusters, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment.
</p></div><div><p>Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS. These applications power personalized experiences across Chase Consumer &amp; Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces.
</p></div><p></p><div><p>Job responsibilities
</p></div><div><ul><li><p>Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows.
</p></li></ul></div><div><ul><li><p>Develop and manage pipelines for high-throughput, real-time inference as well as batch inference, ensuring optimal performance and reliability.
</p></li></ul></div><div><ul><li><p>Implement quantization techniques and deploy large language models (LLMs) to maximize efficiency and resource utilization.
</p></li></ul></div><div><ul><li><p>Oversee the management and optimization of vector databases to support advanced AI and machine learning applications.
</p></li></ul></div><div><ul><li><p>Establish and maintain comprehensive monitoring and observability pipelines to ensure system health, performance, and rapid issue resolution.
</p></li></ul></div><div><ul><li><p>Collaborate with cross-functional teams to integrate new technologies and continuously improve existing infrastructure.
</p></li></ul></div><div><ul><li><p>Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions.<br>
</p></li></ul></div><p></p><div><p>Required qualifications, capabilities, and skills
</p></div><div><ul><li><p>BS in Computer Science or related Engineering field with 6+ years of experience Or MS degree in Computer Science or related Engineering field with 4+ years experience.
</p></li></ul></div><div><ul><li><p>Solid knowledge and extensive experience in Python
</p></li></ul></div><div><ul><li><p>Solid fundamentals in cloud computing, preferably AWS
</p></li></ul></div><div><ul><li><p>Deep knowledge and passion for data science fundamentals, training and deploying models
</p></li></ul></div></div><div><div><ul><li><p>Experience in monitoring and observability tools to monitor model input/output and features stats
</p></li></ul></div><div><ul><li><p>Operational experience in big data/ML tools such as Ray, DuckDB, Spark
</p></li></ul></div><div><ul><li><p>Solid grounding in engineering fundamentals and analytical mindset
</p></li></ul></div><div><ul><li><p>Action Oriented and iterative development
</p></li></ul></div><p></p><div><p>Preferred qualifications, capabilities, and skills
</p></div><p></p><div><ul><li><p>Experience with recommendation and personalization systems is a plus.
</p></li></ul></div><div><ul><li><p>Solid fundamentals and experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc]
</p></li></ul></div><div><ul><li><p>Good knowledge of Databases
</p></li></ul></div></div><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Machine Learning Engineer-MLOps

WPP Production

<div><div><p><b>About WPP Production</b></p>
<p>
We are WPP Production - the unified global production company that brings together all of WPP's content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today's always on, AI driven marketing world.</p>
<p><b>
About WPP</b></p>
<p>
WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.</p></div><p><b>
A Hybrid working model</b></p>
<div>
<div><div><div><div><p><i>We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.</i></p>
</div>
</div></div></div></div><p><b>What does a Production Innovation Director do at WPP Production?</b></p>
<p>
The Production Innovation Director is one of the most forward-facing roles in WPP Production's portfolio, a senior innovation leadership position built not to manage what exists today, but to define and build what comes next.</p>
<p>
You will help lead WPP Production's dedicated Innovation Squad, one of three regional teams across New York, London, and Singapore, purpose-built to drive AI and production innovation across one of WPP's most strategically important global client partnerships. Together, these three regional squads form a connected global innovation engine, fully funded, fully dedicated, and singularly focused on identifying, proving, and scaling the future of AI-driven content production.</p>
<p>
This is a role that demands genuine vision and deep technical fluency in equal measure. You won't just be championing innovation from a distance. You'll be in it. Running pilots. Building proof-of-concepts. Working directly alongside the client's own AI, R&amp;D, and technology teams to co-develop solutions that are grounded in real business challenges and built to scale. You will set the strategic direction of the NA innovation agenda, lead a focused and agile squad, and own the full journey from early experimentation through to productized, graduated capability that the wider WPP Production business can adopt and run at scale.</p>
<p>
You are the person who sees around corners, who understands where AI and production technology are heading, translates that into relevant opportunity for the client, and then does the hard work of making it real.</p>
<p>
As AI continues to reshape how content is created, produced, and distributed, WPP Production is building the capability to lead that transformation for some of the world's most ambitious brands. This role puts you at the centre of that work, with the remit, the resources, and the client relationship to make a real mark, not just on this account, but on how the industry thinks about AI-driven production.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Client Leadership &amp; Innovation</b></p>
<ul>
<li>Serve as a senior client-facing presence on the account, building deep and trusted working relationships with the client's AI innovation, R&amp;D, technology enablement, and marketing operations teams</li>
<li>Act as the client's primary point of contact for all things innovation and AI within WPP Production, complementing the Global MD's senior commercial relationships by owning the innovation and technology dimension of the partnership</li>
<li>Host regular innovation showcases, co-creation workshops, and working sessions with client stakeholders, focused on collaborative problem-solving and hands-on exploration of what AI can do for their content production ecosystem</li>
<li>Proactively identify and nurture opportunities to deepen the partnership through the introduction and scaling of AI-driven production capabilities, demonstrating consistent value that leads to expanded scope and a stronger long-term relationship</li>
<li>Translate the client's business objectives, internal AI roadmap, and technology priorities into relevant and actionable production innovation strategies that WPP Production can design, pilot, and deliver</li>
<li>Develop a compelling and evolving narrative around WPP Production's innovation capabilities, specifically tailored to the client's own AI ambitions, ensuring WPP Production is consistently positioned as a forward-thinking and technically credible partner</li>
<li>Collaborate with the Global MD on pitch and RFP responses where innovation capability is a key component, contributing the technical depth and AI expertise that strengthens the overall proposition</li>
<li>Proactively bring the outside in, sharing relevant industry developments, emerging AI capabilities, and production technology trends that keep the client ahead of the curve and WPP Production indispensable to their thinking</li>
</ul>
<p><b>Innovation Squad Leadership</b></p>
<ul>
<li>Lead and manage the Innovation Squad, a small, agile, fully dedicated team focused exclusively on AI-driven production innovation within the account</li>
<li>Define the squad's ways of working, establishing a sprint-based, hypothesis-driven culture where ideas are tested quickly, learnings are captured rigorously, and only proven concepts move forward</li>
<li>Run structured innovation sprints end-to-end: define the challenge, frame the hypothesis, prototype the solution, run the pilot, measure the outcome, and make the call on whether to graduate or iterate</li>
<li>Own the NA innovation roadmap and pipeline, maintaining a prioritised view of what is in exploration, what is in pilot, and what is ready for graduation to the wider business</li>
<li>Coordinate with regional counterparts in London and Singapore to share learnings, avoid duplication, and ensure the three regional squads are building toward a coherent and complementary global innovation programme</li>
<li>Act as the innovation voice within the broader account leadership team, reporting into the Global MD and ensuring innovation priorities are visible, understood, and supported at the senior level</li>
<li>Foster a squad culture built on curiosity, experimentation, and psychological safety, where testing and learning from failure is treated as progress, not setback</li>
</ul>
<p><b>Innovation Pipeline &amp; Productization</b></p>
<ul>
<li>Identify and evaluate emerging opportunities where AI, agentic workflows, and new production technologies can fundamentally change how content is made, distributed, or measured for the client</li>
<li>Develop and manage a structured innovation pipeline, from early-stage exploration through proof-of-concept, pilot, and into productized capability, ensuring momentum is maintained across all stages simultaneously</li>
<li>Build proof-of-concepts in close collaboration with WPP Production's technology and product teams, ensuring experimental work is grounded in genuine production reality and real client need rather than theoretical possibility</li>
<li>Define and apply clear graduation criteria for every initiative: what does &quot;proven&quot; look like, what does &quot;scalable&quot; require, and what needs to be true before this moves to the wider delivery team</li>
<li>Productize graduated innovations, creating the playbooks, toolkits, process documentation, and training materials that allow new ways of working to be adopted and run at scale across WPP Production globally</li>
<li>Track and report on innovation ROI across the pipeline, including time-to-value, efficiency gains, cost impact, adoption rates, and measurable business outcomes for both WPP Production and the client</li>
<li>Maintain a clear and current view of the competitive innovation landscape, including what other agencies, technology companies, and production businesses are building, and use that intelligence to sharpen the NA innovation agenda</li>
</ul>
<p><b> </b><b>AI &amp; Emerging Technology</b></p>
<ul>
<li>Maintain deep, hands-on knowledge of AI tools, agentic workflows, generative AI platforms, and production automation. This role requires genuine technical fluency, not just the ability to talk about it</li>
<li>Act as the NA subject matter expert on AI-driven content production, providing informed guidance and practical recommendations to both the client and internal WPP Production teams</li>
<li>Partner with WPP Production's technology, product, and engineering teams to get early access to, test, and evaluate new tools and platforms before they reach the wider business, acting as a critical filter between emerging technology and real-world production application</li>
<li>Build and maintain a working knowledge of the client's own AI infrastructure, tools, and internal platforms, with an understanding of their technology environment deep enough to design solutions that integrate with, rather than sit alongside, what they are already building</li>
<li>Identify specifically where AI can remove production friction, reduce cost, accelerate timelines, or unlock entirely new creative and production capabilities, and move quickly from identification to pilot</li>
<li>Champion AI literacy across the wider WPP Production team, helping to raise the baseline understanding and confidence of delivery teams who will ultimately be running the capabilities the squad develops and graduates</li>
</ul>
<p><b>Strategy &amp; Transformation</b></p>
<ul>
<li>Act as a strategic thought partner to the client's innovation and technology teams, consulting on how AI and agentic solutions can optimise their marketing operations and content delivery in ways that are practical, scalable, and grounded in production reality</li>
<li>Lead discovery sessions with client stakeholders to uncover emerging business challenges, map them to innovation opportunities, and co-develop tailored solution hypotheses with internal and external subject matter experts</li>
<li>Drive change management for innovation adoption, recognising that graduating a new way of working is as much about people and process as it is about technology, and designing handoffs that stick on both the client and WPP Production side</li>
<li>Identify where innovation initiatives have the potential to unlock new commercial opportunities within the account, and work closely with the Global MD to develop a clear path to realising them</li>
<li>Contribute to the broader WPP Production innovation strategy, bringing NA-specific client intelligence and learnings that inform how the business develops and positions its AI capabilities globally</li>
<li>Build and share best practice across the WPP network, acting as an internal ambassador for AI-driven production innovation and helping to raise the broader organisation's capability and confidence</li>
</ul>
<p><b>Internal Stakeholder &amp; Team Leadership</b></p>
<ul>
<li>Work in close and deliberate partnership with the Global MD, maintaining clear communication, aligned priorities, and a shared view of where innovation and account strategy intersect</li>
<li>Act as a key point of connection between the NA Innovation Squad and WPP's wider agency network, including media and creative leads, ensuring that innovation work is informed by and feeds back into the broader partnership</li>
<li>Collaborate with WPP Production's global technology, product, and delivery teams to ensure the NA squad has access to the right tools, platforms, and technical support to move quickly and build with confidence</li>
<li>Work closely with the Project Management team to ensure innovation pilots and workstreams are properly scoped, resourced, and tracked, bringing the same rigour to experimental work that the wider account applies to BAU delivery</li>
<li>Directly mentor and develop squad members, investing in their growth as AI-literate, innovation-capable production professionals who can carry this way of working forward</li>
<li>Contribute to the talent strategy for the squad, helping to identify the skills and profiles needed as the innovation programme grows and the scope of work evolves</li>
<li>Maintain strong working relationships with the EMEA and APAC regional innovation leads, ensuring the three squads operate as a genuinely connected global unit rather than three separate teams doing similar things independently</li>
</ul>
<p><b> </b><b>Financial Leadership</b></p>
<ul>
<li>Own the NA innovation budget, maintaining a clear view of spend across the pipeline, prioritising investment based on potential impact and strategic alignment, and ensuring resources are deployed where they will generate the most meaningful return</li>
<li>Track and report on the financial impact of innovation initiatives, including both the cost of running pilots and the value generated through efficiency gains, new revenue, and graduated capabilities adopted at scale</li>
<li>Work with the Global MD and senior WPP Production leadership to make the case for continued and expanded innovation investment, using data and outcomes from the pipeline to build a compelling narrative around ROI</li>
<li>Ensure financial transparency across all innovation workstreams, flagging risks early and maintaining the discipline to stop investing in initiatives that are not generating sufficient signal</li>
</ul>
<p><b>Requirements</b></p>
<ul>
<li>8+ years in account management, client services, production, or a senior client-facing role within a content production agency or advertising environment. The strongest candidates will bring experience that spans both client relationship management and hands-on innovation or technology delivery</li>
<li>Proven track record managing complex, multi-stakeholder client relationships, with a demonstrated ability to identify and develop opportunities for growth within large, global partnerships</li>
<li>Experience working with or alongside large global technology or platform organisations, with familiarity with how their innovation, R&amp;D, and AI ecosystems operate strongly preferred</li>
<li>Demonstrated success leading AI-first transformation programmes, innovation initiatives, or technology-driven change in a marketing or content production context</li>
<li>Proven ability to take AI or production technology from concept to scaled, adopted capability. You have built things and seen them land, not just recommended them</li>
<li>Deep, hands-on knowledge of AI tools, agentic workflows, and generative AI as applied to marketing and content production. Technical fluency is required, not just a working awareness</li>
<li>Experience collaborating with account team members and working closely with project management teams across onshore and offshore geographies</li>
<li>Financial acumen with experience managing budgets, forecasting, and reporting on performance against plan</li>
<li>Exceptional relationship-building and communication skills with the ability to engage and influence at all levels including C-Suite</li>
<li>Strategic mindset balanced with a bias for action. You think big but execute with precision</li>
<li>Proactive, solutions-focused, and comfortable operating in ambiguity and fast-moving environments</li>
<li>Familiarity with agile or sprint-based ways of working</li>
<li>Grounded in content production craft across media, creative, or production disciplines. You need to understand what you are innovating within</li>
<li>High emotional intelligence, strong collaborative instincts, and a genuine passion for developing talent and building high-performing teams</li>
</ul>
<p><b>The base salary for this position at the time of this posting may range from $100,000 to $230,000. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, click </b><b>[here]</b><b> for more details</b></p>
<p>
#LI-Hybrid #LI-SB2</p><div><p><b>
Why work here:</b><br>
At WPP Production, you'll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You'll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP's unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment.
</p><p><b>Inclusion and Impact</b><br>
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
<br>
<br>
<b>Data</b><br>
We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the &quot;Submit Application&quot; button at the bottom of this page, this will send all the information you have added to WPP Production. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.</p><br>
<div>
<div><p><b>Please contact </b><b>careers@wppproduction.com</b><b> if you need the job advert or form in another format.</b></p></div></div></div></div>

Production Innovation Director, North America

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