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applied ai architect

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<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'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' and employees' 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>
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

NBCUniversal

<div><b>Company Description</b><p><br>
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations &amp; Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.</p><p>
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.</p><b><br>
Job Description</b><p><br>
The <b>Director, Applied AI Innovation &amp; Business Adoption</b> will drive the practical application, adoption, and measurable business impact of AI capabilities across NBCUniversal News Group.</p><p>
This is a senior individual contributor role for a hands-on AI practitioner who combines deep knowledge of modern AI tools with strong business acumen and stakeholder engagement skills, that requires the ability to influence without direct authority. Operating at the intersection of AI innovation, enablement, and business transformation, this individual will help News Group teams identify high-value use cases, apply approved AI solutions to real workflows, and accelerate responsible adoption across the organization.</p><p>
The ideal candidate is AI-native, highly proactive, and comfortable translating emerging technologies into practical business outcomes. Success will be measured through adoption, productivity gains, workflow improvements, quality enhancements, cost avoidance, and other measurable business results.</p><p><b>
Applied AI Innovation
</b></p><ul><li>Drive AI adoption and innovation efforts across News Group functions, including editorial, product, technology, commercial, production, and operations.</li><li>
Partner with stakeholders to understand workflows, identify opportunities, and apply AI to improve efficiency, quality, creativity, and business outcomes.</li><li>
Lead AI engagement initiatives, including workshops, demos, office hours, use-case discovery, pilots, and communications.</li><li>
Serve as a trusted advisor, helping News Group teams move from AI exploration to meaningful adoption.</li></ul><p><b>
Hands-On AI Solutioning</b></p><ul><li>
Apply approved AI tools directly to business use cases, developing workflows, prompts, prototypes, demonstrations, and practical recommendations.</li><li>
Translate business challenges into scalable AI-enabled solutions.</li><li>
Identify reusable workflows and common use cases that can be expanded across the organization.</li><li>
Evaluate and recommend the best AI capabilities for specific business needs.</li></ul><p><b>
AI Strategy &amp; Market Awareness</b></p><ul><li>
Monitor emerging AI technologies, product releases, and vendor roadmaps.</li><li>
Assess new capabilities and translate developments into actionable guidance for stakeholders.</li><li>
Maintain strong relationships with AI vendors and internal partners to identify opportunities for experimentation and adoption.</li></ul><p><b>
Stakeholder Engagement</b></p><ul><li>
Build credibility with leaders and practitioners across the organization.</li><li>
Run and facilitate workshops, showcases, office hours, and adoption programs tailored to varying levels of AI maturity.</li><li>
Develop practical resources, playbooks, examples, and self-service materials to support responsible AI use.</li><li>
Develop and support AI communities of practice and champion networks.</li></ul><p><b>
Measurement &amp; Business Impact</b></p><ul><li>
Define and track adoption, engagement, and business impact metrics.</li><li>
Quantify outcomes including productivity gains, time savings, process improvements, quality enhancements, cost avoidance, and revenue opportunities.</li><li>
Communicate results, success stories, risks, and opportunities to leadership.</li></ul><p><b>
Cross-Functional Collaboration</b></p><ul><li>
Partner with Product, Technology, Data, Editorial, Operations, Learning &amp; Development, Legal, Security, and Governance teams within the News Group.</li><li>
Align AI adoption efforts with enterprise standards, product roadmaps, and responsible AI requirements.</li><li>
Act as a bridge between business users and technical teams within the News Group.</li></ul><p><b>
Required AI Expertise</b></p><p>
Candidates should demonstrate deep hands-on practical knowledge of:</p><ul><li>
Generative AI applications for productivity, research, communication, content creation, planning, and analysis.</li><li>
Advanced prompting techniques and workflow design.</li><li>
AI-enabled research, knowledge management, and collaboration workflows.</li><li>
AI-assisted content, creative, editorial, data, and operational use cases.</li><li>
Automation and emerging agentic AI capabilities.</li><li>
Enterprise AI considerations including privacy, governance, security, responsible use, copyright, and risk management.</li><li>
Major enterprise AI platforms including Microsoft Copilot, OpenAI, Adobe, and similar solutions.</li><li>
Rapid evaluation and adoption of emerging AI technologies and capabilities.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
10+ years of experience in digital transformation, innovation, enterprise technology, product adoption, or related fields.</li><li>
3 years of recent AI Adoption lead experience at the enterprise level.</li><li>
Deep hands-on experience with modern AI platforms and enterprise AI tools.</li><li>
Proven ability to apply AI solutions directly to business workflows and deliver measurable outcomes.</li><li>
Experience leading adoption programs, workshops, demonstrations, and stakeholder engagement initiatives.</li><li>
Strong ability to identify opportunities, develop practical solutions, and drive adoption from concept through implementation.</li><li>
Demonstrated success defining metrics and measuring business impact.</li><li>
Excellent communication, stakeholder management, and influencing skills.</li><li>
Ability to thrive in a fast-moving, evolving environment with multiple priorities.</li><li>
Experience presenting to executive and enterprise audiences.</li><li>
Ability to work on fast moving environment.</li></ul><p><b>
Desired Characteristics:</b></p><ul><li>
Experience in media, journalism, digital publishing, technology, or other high-velocity environments.</li><li>
Experience driving enterprise AI adoption or digital transformation initiatives.</li><li>
Experience developing communities of practice, champion networks, and enablement programs.</li><li>
Experience evaluating AI vendors and emerging technologies.</li><li>
Strong understanding of responsible AI, governance, privacy, security, and editorial considerations.</li></ul><p><b>
Additional Requirements:</b></p><p><b>
Hybrid: </b>This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.</p><p>
This position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.</p><p>
Salary range: $150,000 - $200,000 (bonus and long-term incentive eligible).</p><b><br>
Additional Information</b><p><br>
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.</p><p>
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.</p></div>

Director, Applied AI Innovation & Business Adoption

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.<br>
<br>
Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
<br>
<br>
Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them.<br>
<br>
Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
<br>
<br>
A day in the life<br>
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.<br>
<br>
About the team<br>
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, Sponsored Products

Rogo

<div>
 <strong>
  Why Rogo
  <br/>
  <br/>
 </strong>
 Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.
 <br/>
 <br/>
 This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
 <br/>
 <br/>
 Our team is sharp, motivated, and deeply committed to Rogo&rsquo;s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
 <br/>
 <br/>
 <strong>
  What You Will Own
  <br/>
  <br/>
 </strong>
 As an AI researcher at Rogo, you will be at the cutting edge of translating recent technological breakthroughs into transformative financial products. You will leverage the latest developments in LLMs and Reinforcement Learning &ndash; technologies we believe will fundamentally reshape knowledge work &ndash; placing you at the heart of this exciting transformation.
 <br/>
 <br/>
 <ul>
  <li>
   Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows
  </li>
  <li>
   Design and build large-scale infrastructure for evaluating answer and response quality, and directly feed this data back into learned systems as a reward
  </li>
  <li>
   Partner closely with product managers and engineers to ensure every solution you build delivers genuine user value and is guided by real needs
  </li>
  <li>
   Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally.
   <br/>
   <br/>
  </li>
 </ul>
 What You Will Need
 <br/>
 <br/>
 <ul>
  <li>
   Bachelors in Computer Science or related degree.
  </li>
  <li>
   3-6 years of experience working on large language model training or post-training (or equivalent PhD)
  </li>
  <li>
   Highly proficient in writing LLM training code in PyTorch or JAX
  </li>
  <li>
   Experience with a strongly typed language (e.g., Rust, C++, or Java)
  </li>
  <li>
   Strong programming skills and general Computer Science knowledge
   <br/>
   <br/>
  </li>
 </ul>
 Bonus
 <br/>
 <br/>
 <ul>
  <li>
   Experience working directly in training or post-training LLM at a frontier lab (OpenAI, Anthropic, DeepMind, Meta)
  </li>
  <li>
   Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)
  </li>
  <li>
   Experience working with data generated by human experts for model training
  </li>
  <li>
   Financial services experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
  </li>
  <li>
   You are ambitious. You have fun solving problems that others think are impossible.
  </li>
  <li>
   You are curious. You find joy in learning about AI, technology, and finance.
  </li>
  <li>
   You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
  </li>
  <li>
   You are collaborative, organized, thoughtful, and kind.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Rogo?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
  </li>
  <li>
   Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
  </li>
  <li>
   A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
  </li>
  <li>
   Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
  </li>
  <li>
   Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.
  </li>
 </ul>
</div>


AI Researcher

Cerberus Capital Management

<div>
 <p>
  Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
  <u>
   www.cerberus.com
  </u>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
  </li>
  <li>
   Develop and maintain RESTful APIs; integrate with internal and external systems
  </li>
  <li>
   Implement distributed systems and clean design principles for scalable, high-performance applications
  </li>
  <li>
   Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
  </li>
  <li>
   Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
  </li>
  <li>
   Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
  </li>
  <li>
   Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
  </li>
  <li>
   Monitor and optimize application performance across the full stack
  </li>
  <li>
   Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
  </li>
  <li>
   Work with SQL and related technologies to design efficient queries and manage large datasets
  </li>
  <li>
   Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
  </li>
  <li>
   Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
  </li>
  <li>
   Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
  </li>
  <li>
   Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Articulate communicator who brings creativity to complex problem-solving skills
  </li>
  <li>
   Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
  </li>
  <li>
   Proven full-stack experience in API and web application development
  </li>
  <li>
   Hands-on experience identifying and addressing security vulnerabilities leveraging AI
  </li>
  <li>
   Strong knowledge of distributed systems and clean architecture principles
  </li>
  <li>
   Familiarity with Generative AI and passion for leveraging AI tools in SDLC
  </li>
  <li>
   Experience designing systems, Azure (or other cloud providers), and SQL
  </li>
  <li>
   Demonstrated ability to lead projects end-to-end with accountability for quality
  </li>
  <li>
   Ability to work independently and within cross-functional teams.
  </li>
  <li>
   Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <p>
  &middot; Experience with Agile methodologies
 </p>
 <p>
  &middot; Proficiency in Python; C# experience is a plus.
 </p>
 <p>
  &middot; Applied AI experience in engineering workflows or business-facing solutions
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
 </p>
 <p>
  The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 </p>
</div>


Associate, Software Engineer

Aircall

<p></p><div><div><p><div><div><div><b>New York Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
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Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div>
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<div>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div>
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<div>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div>
<div>At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div>
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<div><b>How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><br>
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About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div>
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<div>In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Your missions @ Aircall:</b></h3><div><div><div>
<ul><li>Partner with GTM stakeholders to translate business questions into reliable, scalable data products.</li>
<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level.</li>
<li>Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.</li>
<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>A little more about you:</b></h3><div><div><div>
<ul><li>2+ years of hands-on experience in a high growth environment</li>
<li>Proficiency in SQL for deriving insights</li>
<li>Proficiency in Python</li>
<li>Hands-on Looker/LookML experience</li>
<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>
<li>You have an insatiable curiosity and are biased toward action</li>
</ul></div></div></div></div></div><div><div>$140,000 - $180,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div><b>
Why join us?</b></div>
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<div>   Key moment to join Aircall in terms of growth and opportunities</div>
<ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul>
<div>   Fast-learning environment, entrepreneurial and strong team spirit</div>
<div>   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div>
<div>   Competitive salary package &amp; benefits</div>
<div>   Medical, dental, and vision insurance is 100% covered</div>
<div>   401k plan with company matching!</div>
<div>✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div>
<ul><li>️ Wellness, commuter, and childcare reimbursements</li></ul>
<div>   Generous parental leave policy</div>
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<div>DE&amp;I Statement:</div>
<div>At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div>
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<div>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div>
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<div>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div>
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<div>Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Scientist

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time. If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<ul><li>Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.</li>
<li>Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.</li>
<li>Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.</li>
<li>Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.</li>
<li>Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.</li>
<li>Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.</li>
<li>Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications &amp; Skills</b></h2>
<ul><li>Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.</li>
<li>Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.</li>
<li>Programming skills in C++, applied to performance-sensitive quantitative work.</li>
<li>Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.</li>
<li>Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.</li>
<li>Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.</li>
<li>Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.</li>
<li>Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Beneficial Skills &amp; Qualifications</b></h2>
<ul><li>A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.</li>
<li>Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.</li>
<li>Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p></p><p>Joining Citi's Markets Quantitative Analytics team means working on problems that matter, alongside experienced practitioners on one of the most active equity derivatives businesses in North America. From day one, you will have genuine exposure to live trading activity and the opportunity to contribute to a collaborative, performance-driven environment focused on technical excellence and continuous development.</p>
<ul><li>Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.</li>
<li>Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.</li>
<li>Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.</li>
<li>Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.</li>
<li>A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.</li>
<li>A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.</li>
</ul><p></p><p>Apply now to bring your quantitative expertise to one of the most technically ambitious flow equity derivatives teams in the market and see your models deployed in a live trading environment from day one.</p>
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<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Risk Management
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<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Model Development and Analytics
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<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
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<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
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<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$109 120,00 - $163 680,00<br>
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In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
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<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
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<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
ago 21, 2026
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<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
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<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
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<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

AVP Quantitative Analyst – Flow Equity Derivatives

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