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senior application engineer Jobs in New York

senior application engineer

structural engineer

ai engineer

NVIDIA

<div><p>NVIDIA is seeking Senior Application Engineer for technical collaboration on Materials and Chemical Discovery using AI. Sr Application Engineers s are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI Models. An ideal candidate is someone who is entrepreneurial, self-motivated, creative and passionate about bringing the latest techniques to customers who want to accelerate the discovery of novel materials using Predictive AI or Generative AI. Discovery of new materials and chemicals is one of the core workload across a broad range of customers including supercomputing, higher education, manufacturing, semiconductors, agriculture, etc.</p><p></p><p>
As a Sr Application Engineer you will be part of the team comprising Product Managers and Strategic Alliance Partners and working with customers.</p><p></p><p><b>
What you will be doing:
</b></p><ul><li><p>Work directly with developers and researchers who are building, fine-tuning or optimizing AI models for Chemistry and Material discovery</p></li><li><p>
Collaborate with publishers of open source applications, datasets, frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.</p></li><li><p>
Build examples, sample applications for tutorials</p></li><li><p>
Collaborate with domain experts on whitepapers and with marketing on blog posts</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
Degree in Chemistry, Material Science or related field (Ph.D. or Masters preferred) or equivalent experience</p></li><li><p>
4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.</p></li><li><p>
Proven ability to benchmark and compare domain specific AI Models fo Materials discovery</p></li><li><p>
Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Contributions to open source projects related to MLIPs</p></li><li><p>
Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.</p></li><li><p>
Prior experience in benchmarking AI models</p></li></ul><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until September 8, 2025.<p></p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior Application Engineer

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><ul><li>We are seeking a seasoned Data Engineer with 7+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments), solution architecture, and experience with one major cloud platform (AWS,
</li><li>Azure, or GCP) is an added advantage. Strong skills in Python, SQL, PySpark, Generative AI (GenAI), and NLP are required.
<br>
<br>
<b>Key Responsibilities
</b></li><li>Develop and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.
</li><li>Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.
</li><li>Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
<br>
scalable ML development and deployment
</li><li>Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members.
<br>
<br>
<b>Qualifications &amp; Skills
</b></li><li>Bachelors degree with exp in Data, AI, ML
</li><li>Programming: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.
</li><li>MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
</li><li>Generative AI &amp; NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.
</li><li>Data Engineering: Proficient in PySpark and distributed data processing.
</li><li>Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage&quot;
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Life at Capgemini
</b></h2></div><div><p>Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<br>
Flexible work
<br>
Healthcare including dental, vision, mental health, and well-being programs
<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
<br>
Paid time off and paid holidays
<br>
Paid parental leave
<br>
Family building benefits like adoption assistance, surrogacy, and cryopreservation
<br>
Social well-being benefits like subsidized back-up child/elder care and tutoring
<br>
Mentoring, coaching and learning programs
<br>
Employee Resource Groups
<br>
Disaster Relief
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Disclaimer
</b></h2></div><div><p>Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
</p><p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
</p><p>Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.
</p><p>Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Salary Transparency Disclaimer
</b></h2></div><div><p>Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000/yearly.
</p><p>This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
</p><p>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
<br>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
</p></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Engineer (AI/ML)

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API &mdash; you&rsquo;ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end
  </li>
  <li>
   Talk to users to understand their problems and design solutions to address them
  </li>
  <li>
   Work with the research team to get relevant feedback and iterate on their latest models
  </li>
  <li>
   Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
  </li>
  <li>
   Optimize applications for speed and scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Background Looks Something Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of relevant engineering experience at tech and product-driven companies
  </li>
  <li>
   Proficiency with JavaScript, React, and other web technologies
  </li>
  <li>
   Proficiency with some backend language (we use Python)
  </li>
  <li>
   Some experience with relational databases like Postgres/MySQL
  </li>
  <li>
   Interest in AI/ML (direct experience not required)
  </li>
  <li>
   Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>


Software Engineer, Full Stack

Flip

<div>
 <strong>
  REPORTING TO:
 </strong>
 Head of AI
 <br/>
 <br/>
 <strong>
  LOCATION
 </strong>
 : New York, NY (Onsite M-F)
 <br/>
 <br/>
 <strong>
  Who The Flip Is Flip?
  <br/>
  <br/>
 </strong>
 Flip is leading the next wave of innovation across customer support with AI-powered call automation. Launched back in 2015, we have over a decade of combined experience in AI, LLMs, NLP, and ML; allowing us to rise as the category leader for Voice AI across the eCommerce/Retail, Healthcare and Transportation verticals.
 <br/>
 <br/>
 We integrate with our client's tech stack, keeping it easy for customers and customizable for Flip. We personalize every customer-facing call and resolve issues quickly, creating a seamless, branded experience that enhances customer satisfaction and loyalty. Our software is continuously evolving, with millions of real customer conversations a week, we deliver human-level understanding and handling with exceptional precision.
 <br/>
 <br/>
 We are in-office, with spaces in NYC, LA, and the UK. Our culture you ask? Blends of owner-operators, reverse hackers, deep collaboration and solution oriented mindsets.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 At Flip, you'll create user experiences, design and implement new features, and oversee entire pipelines of the Flip assistant. You'll also get deep into the data, interact with our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!
 <br/>
 <br/>
 You will get to work on intricate Python-based systems that interface with a wide range of external APIs (OMS, CRM), develop optimized LLM interfaces, handle complex dialogue management and flows, shape conversational workflows, and ensure low-latency, high-availability voice experiences.
 <br/>
 <br/>
 <strong>
  Who You Are, As An Engineer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;re able to dive into the deep end of a complex Python codebase, and quickly understand what&rsquo;s going on from the syntax.
  </li>
  <li>
   You write clean, pythonic, well-tested, and maintainable code, using existing functionality appropriately, and mimicking existing code style.
  </li>
  <li>
   You can perform thorough yet swift PR code reviews &ndash; for code written by the R&amp;D team and your own.
  </li>
  <li>
   You are fast yet meticulous, proactive yet careful, autonomous yet unafraid to ask for help.
  </li>
  <li>
   You own your work and take responsibility, fostering trust with all your colleagues.
  </li>
  <li>
   You are able to multitask, actually and literally.
  </li>
  <li>
   You constantly monitor performance and can troubleshoot production issues across services and integrations in a timely manner.
  </li>
  <li>
   You thrive working on (python) backends &ndash; we're almost all backend.
  </li>
  <li>
   You strive to always push the product forwards, and generally not concerned about theoretical engineering perfection when it doesn&rsquo;t matter.
  </li>
  <li>
   You really, really care about the customer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are, As A Person
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a BS in Computer Science, Mathematics or Engineering, or related scientific or technical discipline
  </li>
  <li>
   You are a proficient programmer, and have a strong proficiency in Python (minimum of 3-5 years): you can write pythonic code and have experience working with asyncio, decorators, advanced class usage (dataclasses, inheritance), an array of modules, and frameworks like FastAPI or Pipecat
  </li>
  <li>
   Familiarity with REST APIs, authentication methods (OAuth2, JWT, Bearer Tokens, etc), and third-party E-Commerce integrations such as some examples below:
  </li>
  <ul>
   <li>
    OMSs (E.g. Shopify, Salesforce, MAO, proprietary APIs)
   </li>
   <li>
    Helpdesks (E.g. Kustomer, Zendesk, Gladly, Gorgias, Richpanel)
   </li>
   <li>
    Subscription APIs (E.g. Ordergroove, Recharge, Loop, Skio)
   </li>
   <li>
    Phone systems (E.g. Aircall, Five9, Vonage)
   </li>
   <li>
    CRMs (E.g. Narvar, Hubspot)
   </li>
   <li>
    Tracking APIs (E.g. Shippo, TrackingMore, AfterShip)
   </li>
   <li>
    Other platforms (E.g. Returnly, Attentive, OrderProtection, and many more)
   </li>
  </ul>
  <li>
   You have experience writing effective LLM prompts across a range of LLM models and vendors
  </li>
  <li>
   You have a good working knowledge of data analytics and metrics pipelines, and have worked with data analytics systems such as Omni, Tableau, Looker, etc
  </li>
  <li>
   You put in the time and dedication to write, iterate, deploy, and monitor work you're proud of
  </li>
  <li>
   You can effectively communicate with non-technical teammates and occasionally clients (i.e. Ecomm Customer Experience Leaders)
  </li>
  <li>
   You are eager and willing to support your teammates &ndash; just like they will be with you!
   <br/>
  </li>
 </ul>
 <strong>
  Bonuses
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have a background in NLP or conversational AI systems.
  </li>
  <li>
   You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself.
  </li>
  <li>
   You have experience with Pipecat, or TTS and STT pipelines in general.
  </li>
  <li>
   You have experience working with AWS cloud services, Google Cloud, Kubernetes, and/or Ansible, and know your way around a terminal.
  </li>
  <li>
   You have an entrepreneurial drive, and know what it&rsquo;s really like to work at a successful startup.
  </li>
  <li>
   You can work onsite in our LA office &ndash; Playa Vista to be exact! Partnering closely with the rest of the R&amp;D Team, and Product and Customer Success Managers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We're international, spanning the US, UK, and Canada.
  </li>
  <li>
   Our tech stack includes Python, MongoDB, AWS, Twilio, Datadog, Snowflake, and Omni.
  </li>
  <li>
   We are backed by ScOp Venture Capital, Bullpen Capital, and Forum Ventures, as well as founders &amp; executives from Amazon Alexa, Ada, Attentive, and Simon.
  </li>
  <li>
   Comprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the year.
   <br/>
   <br/>
  </li>
 </ul>
 #FlippinLegend
 <br/>
 <br/>
 Final compensation may vary based on location, experience, and qualifications. This role is also eligible for equity, in accordance with company policy, and subject to board approval.
 <br/>
 <br/>
 Compensation Range:: $120,000 USD - $150,000 USD
 <br/>
 <br/>
 Our customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.
</div>


Software Engineer - Ecom/Retail

Magnetar Capital

<div><div><p><b>About Magnetar</b></p>
<p>
Magnetar is a leading global alternative asset manager with $22B+ AUM as of May 31, 2025. We are based in Evanston, IL&mdash;just north of Chicago and easily accessible by the &ldquo;L&rdquo;&mdash;with additional offices in New York, London and Menlo Park, CA.</p>
<p>
Grounded in two decades of investing experience, we aim to generate consistent performance for our investors by identifying differentiated investment opportunities and building scalable businesses across our core strategies: Alternative Credit and Fixed Income, Systematic Investing, and Venture.</p>
<p>
This year, we proudly celebrate our 20th anniversary&mdash;a testament to our legacy of innovation, expertise and commitment to our clients and team.</p>
<p>
Magnetar employees are among the best in the business at what they do. Our employees thrive on intellectual curiosity, collaboration and identifying creative solutions to complex problems. Our team is made up of highly skilled, passionate professionals who care deeply about delivering results for our investors, our firm and one another. We are proud to foster an inclusive, welcoming environment that empowers each employee to succeed.</p>
<p>
At Magnetar, our commitment to our employees matches our dedication to our work. We offer top-tier benefits including comprehensive health, dental and vision insurance, a 401k match, competitive paid time off, wellness programs, daily lunches, and professional development through Magnetar University. We are also passionate about giving back, supporting financial education and community engagement through our Foundation and various volunteer initiatives.</p>
<p>
We hope you&rsquo;ll consider joining us as you explore a career at Magnetar!</p></div>
<p>Magnetar Capital, LLC seeks Machine Learning Engineer at its facility located at 10 E. 53rd Street, New York, NY 10022.</p>
<p>
JOB DESCRIPTION:</p>
<p>
Design, develop, and implement machine learning models and algorithms to automate various back-office processes. Engage in work that directly impact the efficiency of operations. Collaborate closely with our infrastructure engineers to ensure that solutions are scalable, secure, and integrated seamlessly into our existing systems. Develop and deploy machine learning models to automate back-office processes, such as trade reconciliation, reporting, compliance checks, and other operational tasks. Work closely with infrastructure engineers to integrate machine learning solutions with existing systems, ensuring scalability and security. Utilize Python, Snowflake, and Databricks to develop data pipelines, preprocess data, and implement machine learning algorithms. Continuously monitor and optimize machine learning models to improve accuracy and efficiency. Collaborate with cross-functional teams to identify areas where machine learning can add value and propose innovative solutions. Stay up to date with the latest advancements in machine learning and apply them to improve our processes. Up to 25% domestic travel required.</p>
<p>
REQUIREMENTS:</p>
<p>
This position requires a Master&rsquo;s degree, or foreign equivalent, in Computer Science, Data Science, Machine Learning, Information Engineering, or in a related field, plus 2 years of experience as a Machine Learning Engineer, Software Engineer, or related occupation. Additionally, the applicant must have employment experience with: (1) Applying AI techniques to generate investment theses, automate workflows, and produce quantitative model signals; (2) Performing sentiment analysis, conducting model fine-tuning and evaluation, and executing information extraction from unstructured text data; (3) Designing and implementing algorithmic approaches that drive strategic decision-making and optimize investment performance; (4) Constructing and managing robust data frameworks and pipelines to ensure efficient integration and accessibility of critical data; and (5) Developing and applying comprehensive models for investment analysis, risk assessment, and portfolio optimization.</p>
<p>
RATE OF PAY: $139,506-$225,000 per year</p>
<div><p><b>Disclaimer</b></p>
<p>
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p></div></div><p></p>

Machine Learning Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
You will be instrumental in advancing the frontier of human-agent collaboration for enterprise solutions. You will leverage your deep expertise in machine learning and artificial intelligence to develop intelligent systems that enhance how professionals interact with agentic AI tools, driving innovation in professional services delivery while balancing user experience, ethics, and business outcomes.<br>
<br>
In this role, you will shape the future of professional services by creating AI agents that augment human capabilities, streamline complex workflows, and deliver unprecedented value to customers. Your work will define how the next generation of professionals collaborate with intelligent systems, establishing new paradigms for productivity, creativity, and problem-solving in enterprise environments.<br>
<br>
Key job responsibilities<br>
<br>
Architect and design AI agent systems that can effectively understand, reason about, and execute professional services workflows<br>
<br>
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase service effectiveness and business outcomes, while maintaining exceptional customer experience<br>
<br>
Drive end-to-end Machine Learning projects involving agentic AI that navigate high degrees of ambiguity, scale, and complexity<br>
<br>
Design and implement advanced machine learning models for agent decision-making, natural language understanding, and contextual reasoning<br>
<br>
Conduct proof-of-concept development, experimentation, optimization, and production deployment of AI agent systems<br>
<br>
Collaborate closely with software engineers to productionize ML models for agentic AI solutions<br>
<br>
Design, execute, and analyze A/B experiments to evaluate agent performance, user satisfaction, and business impact<br>
<br>
Establish scalable, efficient, automated processes for large-scale data analysis, agent behavior modeling, model validation, and serving<br>
<br>
Research and implement new approaches for agent learning, reasoning, and interaction with human professionals<br>
<br>
Develop frameworks for evaluating agent effectiveness, safety, and alignment with human objectives<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Agentic AI Professional Services

Kentan Staffing Solutions

<div><div><div><b>Title: Cloud Engineer (AWS) &ndash; eCommerce Infrastructure &amp; Security
</b></div><div>Contract Details:
</div><div>Location: Fully Remote (NYC - occasional travel)
</div><div>Type/Duration: Contract for 6+ months and potential to become contract to hire
</div><div>Start: ASAP
</div><div>Candidates Considered: USC and GC Holders
</div><div>Rate: They said market rate...need to do some recruiting to figure it out.
</div><div><b>Position Overview
</b></div><div>We are seeking a highly skilled <b>Cloud Engineer (AWS) </b>to design, build, and manage cloud-based infrastructure in support of a leading eCommerce platform. This role requires a <b>hands-on engineer </b>who can balance architecture with execution, ensuring that applications and services are <b>resilient, performant, and secure </b>. The Cloud Engineer will play a key role in supporting AI-driven user experiences, enabling secure integrations, and proactively optimizing the environment for scale and cost efficiency.
</div><div><b>Key Responsibilities
</b></div><ul><li><div>Engineer and maintain AWS-based enterprise and eCommerce infrastructure to support business-critical operations.
</div></li><li><div>Ensure the eCommerce platform is <b>secure, highly available, and performant </b>, acting as a guardian against outages and breaches.
</div></li><li><div>Implement <b>secure integrations </b>and standardized environments to streamline deployments.
</div></li><li><div>Support the launch and operation of <b>AI-driven applications </b>and infrastructure (not model development, but enablement).
</div></li><li><div>Drive automation and standardization across cloud infrastructure to accelerate delivery and improve reliability.
</div></li><li><div>Monitor and optimize <b>cloud costs (FinOps) </b>to ensure efficient use of AWS resources.
</div></li><li><div>Collaborate with security, application development, and operations teams to deliver end-to-end solutions.
</div></li><li><div>Provide hands-on troubleshooting, incident response, and root cause analysis for infrastructure issues.
</div></li></ul><div><b>Qualifications
</b></div><ul><li><div><b>5&ndash;10 years </b>of experience as a Cloud Engineer or related role managing enterprise-scale infrastructure.
</div></li><li><div>Strong expertise in <b>AWS cloud services </b>(EC2, S3, VPC, IAM, CloudFormation/Terraform, etc.).
</div></li><li><div>Hands-on experience with <b>infrastructure automation, CI/CD pipelines, and environment standardization </b>.
</div></li><li><div>Proven background in <b>application delivery </b>and cloud-based system operations.
</div></li><li><div>Solid understanding of <b>cloud security </b>principles and best practices; disaster recovery knowledge a plus.
</div></li><li><div>Experience in <b>eCommerce or consumer products </b>industries highly preferred but not required.
</div></li><li><div>Exposure to <b>AI/ML infrastructure enablement </b>is a strong plus.
</div></li><li><div>Familiarity with <b>cloud cost optimization (FinOps) </b>best practices preferred.
</div></li><li><div>Strong problem-solving skills with the ability to operate independently in a fast-paced environment.</div></li></ul></div></div>

Cloud Engineer (AWS)

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