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NTT DATA

<div><p><b>Req ID:</b> 370177</p><p>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.</p><p>
We are currently seeking a AI Junior / Intermediate Developer - HYBRID to join our team in New York, New York (US-NY), United States (US).</p><div><b>
Role Summary</b></div><div>
Lead hands-on technical onboarding and proof-of-concept integration of emerging AI development tools (e.g., Cursor, Factory AI) where no prior commercial agreements exist. Work on an iterative, pipeline-based cadence with priorities set by readiness, approvals, and business need.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Drive technical onboarding of new AI developer tools lacking existing commercial agreements.</li><li>
Build proof-of-concept implementations and assess integration readiness against Morgan Stanley's developer platform.</li><li>
Partner with security, risk, and platform teams to evaluate controls and integration constraints.</li><li>
Document onboarding steps, integration patterns, and operational considerations for each tool.</li><li>
Collaborate with internal stakeholders on requirements, success criteria, and enablement needs.</li><li>
Support iterative expansion &ndash; onboard additional tools as they are prioritized during the engagement.</li></ul><div></div><div><b><br>
Minimum Skills:</b></div><ul><li>
2+ years hands-on experience building or integrating with AI-assisted development tools.</li><li>
Proficient in at least one modern language (Python, TypeScript/Node.js, Go, or Java) and comfortable building CLIs, plugins, or integrations.</li><li>
2+ years experience standing up proof-of-concept environments (containers, cloud sandboxes, IDE extensions).</li></ul><div><ul><li>
2+ years understanding of Git-centric workflows, CI/CD, and developer tooling ecosystems.</li><li>
2+ years technical writing skills for integration documentation and runbooks.</li></ul></div><div></div><div><b><br>
Preferred Skills:</b></div><ul><li>
Hands-on experience with LLM SDKs (Anthropic, OpenAI, Google) and agentic frameworks.</li><li>
Prior integration work with MCP servers, VS Code extensions, or JetBrains plugins.</li><li>
Familiarity with enterprise authentication (SSO, OAuth) and secrets management.</li><li>
Financial services experience.</li></ul><div></div><div><b><br>
Education</b></div><p>
Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience)</p><div>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate&rsquo;s actual work location, relevant experience, technical skills, and other qualifications.</div><div></div><div><br>
#LI-NorthAmerica</div><div><b>
INDHCLSMC</b></div><p><br>
</p><p><b>About NTT DATA</b></p><p>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.</p><p>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.</p><p><b><i>
NTT DATA endeavors to make </i></b><b><i>https://us.nttdata.com</i></b><b><i> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at </i></b><b><i>https://us.nttdata.com/en/contact-us</i></b><b><i>. </i></b><b><i>This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click </i></b><b><i>here</i></b><b><i>. If you'd like more information on your EEO rights under the law, please click </i></b><b><i>here</i></b><b><i>. For Pay Transparency information, please click</i></b><b><i> here</i></b><b><i>.</i></b></p></div>

AI Junior / Intermediate Developer - HYBRID

ReadMe

<div>
 <strong>
  📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 <br/>
 <br/>
 We&rsquo;re at the forefront of a major shift in developer experience:
 <br/>
 <br/>
 <ul>
  <li>
   AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
  </li>
  <li>
   At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
   <br/>
   <br/>
  </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 <br/>
 <br/>
 🦉 What we do
 <br/>
 <br/>
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 <br/>
 <br/>
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 <br/>
 <br/>
 ✅ What you&rsquo;ll do here
 <br/>
 <br/>
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 <br/>
 <br/>
 ReadMe's AI surface spans three bets we're doubling down on:
 <br/>
 <br/>
 <ul>
  <li>
   Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
  </li>
  <li>
   Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
  </li>
  <li>
   APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
   <br/>
   <br/>
  </li>
 </ul>
 Day to day, you&rsquo;ll:
 <br/>
 <br/>
 <ul>
  <li>
   Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
  </li>
  <li>
   Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
  </li>
  <li>
   Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
  </li>
  <li>
   Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
  </li>
  <li>
   Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
  </li>
  <li>
   Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
  </li>
  <li>
   Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
   <br/>
   <br/>
  </li>
 </ul>
 💙 You'll love this job if you...
 <br/>
 <br/>
 <ul>
  <li>
   Want to own meaningful systems end-to-end, not just features.
  </li>
  <li>
   Care deeply about developer experience and documentation quality.
  </li>
  <li>
   Enjoy working on problems where AI, APIs, and product design intersect.
  </li>
  <li>
   Have strong instincts about what makes AI actually useful and where the industry is headed.
   <br/>
   <br/>
  </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
 <br/>
 <br/>
 <ul>
  <li>
   Experience building with LLMs in production, not just prototypes.
  </li>
  <li>
   Strong JavaScript/TypeScript or Python experience.
  </li>
  <li>
   Experience working with:
  </li>
  <ul>
   <li>
    Embeddings and retrieval systems (RAG).
   </li>
   <li>
    Prompting and structured outputs.
   </li>
   <li>
    Evaluation and iteration of AI systems (quality, latency, cost).
   </li>
  </ul>
  <li>
   Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
  </li>
  <li>
   Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
  </li>
  <li>
   Strong instincts around when to use AI vs. deterministic approaches.
  </li>
  <li>
   Experience improving AI reliability, observability, and production readiness.
  </li>
  <li>
   Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
   <br/>
   <br/>
  </li>
 </ul>
 🌱 How you'll grow within one month...
 <br/>
 <br/>
 <ul>
  <li>
   Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
  </li>
  <li>
   Ship meaningful improvements to existing AI features.
  </li>
  <li>
   Get close to real customer workflows and pain points.
   <br/>
   <br/>
  </li>
 </ul>
 🪴 Within a few months, you'll...
 <br/>
 <br/>
 <ul>
  <li>
   Own a core part of one of our AI systems.
  </li>
  <li>
   Drive improvements in quality, reliability, and user experience.
  </li>
  <li>
   Contribute to product and technical direction.
   <br/>
   <br/>
  </li>
 </ul>
 🌳 Within your first year, you'll...
 <br/>
 <br/>
 <ul>
  <li>
   Be a key driver of AI across the product.
  </li>
  <li>
   Ship systems used daily by thousands of developers and teams.
  </li>
  <li>
   Help define how AI reshapes developer hubs and API workflows.
   <br/>
   <br/>
  </li>
 </ul>
 🛣️ What's the hiring process like?
 <br/>
 <br/>
 <ul>
  <li>
   We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
  </li>
  <li>
   If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
  </li>
  <li>
   Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
  </li>
  <li>
   We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
  </li>
  <li>
   Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
  </li>
  <li>
   We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ✨ Our Benefits Include&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Unlimited PTO with a three-week minimum. 🏝️
  </li>
  <li>
   Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
  </li>
  <li>
   A One Medical membership. 👨&zwj;⚕️
  </li>
  <li>
   A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
  </li>
  <li>
   One-to-one donation matching of up to $1,000 per year. 💸
  </li>
  <li>
   Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
  </li>
  <li>
   Work from home. 🏠
  </li>
  <li>
   Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
  </li>
  <li>
   Take a look at our handbook for more information on our benefits! 📘
   <br/>
   <br/>
  </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 <br/>
 <br/>
 <strong>
  At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
  <br/>
  <br/>
 </strong>
</div>


AI Engineer

<b>Req ID:</b> 370261
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a AI Solutions Engineer - HYBRID to join our team in New York, New York (US-NY), United States (US).
<br><br>
Improve the end-to-end developer experience of AI development tools. Identify friction points, drive workflow improvements, and raise adoption by making AI tooling faster, clearer, and more reliable for developers in their daily work.
<br><br>
<b>Day to Day Responsibilities:</b><br>
<ul>
<li>Partner with developers across teams to identify friction points with current AI tools and workflows.</li>
<li>Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows).</li>
<li>Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist.</li>
<li>Instrument usage and feedback to quantify impact of improvements.</li>
<li>Produce guidance, examples, and enablement content to help teams adopt improved patterns.</li>
<li>Contribute to knowledge transfer and handover to steady-state teams.</li>
</ul>
<b>Minimum Skills:</b><br>
<ul>
<li>4+ years experience, including recent hands-on use of AI-assisted development tools.</li>
<li>4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows).</li>
<li>4 Years of coding in Python and/or TypeScript; comfortable touching shared code and context repositories.</li>
</ul>
•
<br><br>
<b>Preferred Skills:</b><br>
<ul>
<li>Background in DevEx, platform engineering, or internal developer platforms.</li>
<li>Experience authoring or improving LLM prompts, skills, or plugins in production.</li>
<li>Familiarity with developer telemetry / observability (usage analytics, A/B testing of dev tools).</li>
<li>Financial services experience.</li>
</ul>
User-centric mindset with experience gathering developer feedback and measuring adoption.
<br><ul>
<li>Excellent written and verbal communication.</li>
<li>On-site at Alpharetta, GA or New York City, NY</li>
</ul>
Education
<br>Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).
<br><br>
#LI-NorthAmerica
<br><br>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
<br><br>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

AI Solutions Engineer - HYBRID

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.<br>
</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
You will be in a team that applies statistical and data science to understand Artificial Intelligence (AI) opportunities and the developer productivity at a scale as large as that of Google. As a Data Scientist on the Developer AI team, you will be at the vanguard of using advanced data science and machine learning to comprehend and address the most significant hurdles our software engineers face. You will have the rare chance to work with a vast and intricate dataset of developer activities. Your insights will directly influence the next wave of AI-enhanced tools for every developer at Google.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><p></p><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with engineering teams to instrument and gather data, laying the groundwork for enhancing artificial intelligence (AI) products and developer productivity.</li>
<li>Perform analysis of developer processes and issues to pinpoint where AI-driven solutions can deliver impact.</li>
<li>Create and monitor performance indicators to measure the value and influence of our products on Google's developers.</li>
<li>Discover latent trends, forecast future requirements, and demonstrate the return on investment of our projects.</li>
<li>Present insights to leadership, guiding data-centric decisions that will define the future of developer tools at Google.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Data Scientist, Developer AI

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>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><p></p>
<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>A strong customer mindset and curiosity about real-world problem solving.<br>
<li>
</li></ul><p></p><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><p><b>Work Arrangement: </b>This role may be filled as either virtual or hybrid, depending on the selected candidate&rsquo;s location and business needs. Candidates who live within
<br>
commuting distance of a company office may be designated as hybrid and generally will be expected to work from the office three days per week. Candidates who do not live within commuting distance of a company office may be eligible for a virtual work arrangement, subject to company policy, business needs, and applicable law. Final work arrangement will be confirmed during the hiring process.</p></div><p></p>
<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>
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AI Engineer III - Agentic AI

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let&rsquo;s push the boundaries of what's possible together.</p><p>
</p><p>As a Senior Director of Software Engineering at JPMorganChase within Connected Commerce Technology, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Leads multiple identity, authentication, and customer-access technology programs and process implementations across departments to achieve firmwide technology objectives, including CIAM modernization, password-less adoption, and measurable developer productivity uplift through AI and automation.</li><li>
Directly manages multiple areas with strategic, transformational focus (e.g., identity architecture, authentication engineering, developer platform/tooling, and site reliability for CIAM services), ensuring alignment to business outcomes and secure-by-design principles.</li><li>
Provides leadership and high-level direction to software engineering and platform teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business, including public cloud (AWS) and hybrid environments.</li><li>
Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives while balancing security, customer experience, time-to-market, and regulatory/compliance needs.</li><li>
Manages multiple stakeholders, complex projects, and large cross-product collaborations spanning identity proofing, authorization, risk-based adaptive authentication, and login experience across web and mobile channels.</li><li>
Influences peer leaders and senior stakeholders across business, product, and technology teams to drive adoption of IAM standards (SAML, OAuth 2.0, OIDC, FIDO2/WebAuthn) and modernization of CI/CD, testing, observability, and incident practices.</li><li>
Champions an AI-augmented engineering culture that increases productivity and efficiency&mdash;defining and tracking KPIs for code velocity, test coverage/quality, change failure rate, and MTTR through AI copilots, generative test creation, and automated code review.</li><li><p>
Sets the vision and roadmap for agentic capabilities across the CIAM platform (e.g., autonomous runbooks for cert rotations, policy-as-code validation agents, incident triage/remediation agents, and developer assistants for API/SDK integration), ensuring safety, guardrails, and auditability.</p><p>
</p></li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization</li><li>
Experience developing or leading large or cross-functional teams of technologists, including platform, application, and SRE functions delivering high-availability customer identity services.</li><li>
Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale (e.g., enterprise-wide authentication upgrades, CIAM migrations, passwordless rollouts).</li><li>
Experience leading complex projects supporting system design, testing, and operational stability, including zero-downtime migrations, blue/green or canary deployments, and rigorous SLIs/SLOs for auth services.</li><li>
Experience with hiring, developing, and recognizing talent, building succession pipelines, and mentoring engineering leaders and architects.</li><li>
Extensive practical cloud-native experience, particularly on AWS (e.g., VPC, IAM, KMS, Lambda, ECS/EKS, API Gateway, CloudFront, Route 53, Secrets Manager, Certificate Manager, CloudWatch, WAF), with secure-by-default patterns and cost-aware scaling.</li><li>
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field (or equivalent practical experience), with strong systems thinking and familiarity with distributed systems and high-availability design.</li><li>
Proven ability to deploy AI tools to boost developer productivity and efficiency at scale (e.g., code assistants, AI-based test/data generation, automated code review, defect triage, CI/CD policy agents) with clear metrics and governance.</li><li>
Hands-on experience architecting and operationalizing agentic systems for CIAM use cases&mdash;such as automated certificate lifecycle agents, secrets rotation, configuration drift detection/remediation, and incident response orchestration&mdash;integrated with approvals, audit trails, and guardrails.</li><li>
Deep hands-on understanding of IAM standards and protocols: OAuth 2.0 (including grant types and token lifecycles), OIDC, SAML 2.0, FIDO2, and WebAuthn; ability to set firmwide standards and governance for their adoption.</li>
Security, risk, and compliance fluency for identity: familiarity with NIST SP 800-63 Digital Identity Guidelines and other relevant standard bodies; ability to translate standards into pragmatic policies, controls, and customer experiences.<br>
<li>
</li></ul><p><b>Preferred qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Experience with CIAM products and ecosystems such as Ping Identity and ForgeRock, including vendor evaluation, integration patterns, migration strategies, and customization via SDKs/gateways.</li><li>
Background with customer fraud/risk signals and adaptive/authentication orchestration (e.g., step-up MFA, device intelligence, behavioral analytics) integrated into login and transaction flows.</li><li>
Familiarity with API security best practices (OAuth 2.0 scopes, token introspection, JWT/JWS/JWE, MTLS/OAuth mTLS profiles), gateway patterns, and zero-trust-aligned access strategies.</li><li>
Experience in observability for identity services (structured logging, distributed tracing, metrics, synthetic monitoring of auth flows) and incident response/forensics for security events.</li><li>
Good to have hands-on experience and knowledge of modern UI frameworks such as React and Next.js for customer-facing identity flows, consent and profile management, and secure session handling.</li></ul><p><br>
</p><b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Senior Director of Software Engineering - Trust & Security

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
 <br/>
 <br/>
 This is a fully remote contract role working on real production systems &mdash; not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Commitment: 20&ndash;40 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
  </li>
  <li>
   Develop full-stack tooling and backend services for data annotation, validation, and quality control
  </li>
  <li>
   Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
  </li>
  <li>
   Collaborate directly with data, research, and engineering teams to support model training and benchmarking
  </li>
  <li>
   Participate in synchronous design reviews to iterate on architecture and implementation decisions
  </li>
  <li>
   Improve performance, safety, and scalability across existing infrastructure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Native or fluent English speaker with clear written and verbal communication skills
  </li>
  <li>
   5+ years of professional experience writing production-grade Python for data engineering
  </li>
  <li>
   Strong full-stack developer background with solid systems programming fundamentals
  </li>
  <li>
   Proficient with workflow orchestration tools for managing complex dependency graphs
  </li>
  <li>
   Experienced with dataframe processing libraries and cloud data warehouse SDKs
  </li>
  <li>
   Able to commit reliably to 20&ndash;40 hours per week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience with data annotation, data quality pipelines, or evaluation systems
  </li>
  <li>
   Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  </li>
  <li>
   Experience with distributed systems or developer tooling
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
  </li>
  <li>
   Fully remote and flexible &mdash; work from wherever you do your best thinking
  </li>
  <li>
   Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
  </li>
  <li>
   Make a direct, tangible impact on the systems that shape how AI models learn and improve
  </li>
  <li>
   Potential for extended engagement and expanded scope as projects evolve
  </li>
 </ul>
</div>


Data Platform Engineer (Python)

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