ai transformation analyst- senior product owner

applied aiml data scientist-senior associate

bfs ai/data sales specialist - u.s. - chicago or ne region

application development technology sr. lead analyst, senior vice president

senior vice president, application development manager

2026 global financial crimes and compliance internship (coverage strategy) – emerging talent summer experience program

ai adoption lead

ai transformation analyst- senior product owner Jobs in Jersey City

applied ai ml lead - java / python Jobs in Jersey City

applied ai ml lead - java / python

applied aiml data scientist-senior associate Jobs in Jersey City

bfs ai/data sales specialist - u.s. - chicago or ne region Jobs in Jersey City

applied ai ml director

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
In this role, you will set technical direction, build and mentor high-performing teams, and establish rigorous practices for model development, evaluation, and governance. You&rsquo;ll operate at the intersection of innovation and execution&mdash;accelerating adoption of AI capabilities (including LLM-driven workflows where appropriate) while ensuring reliability, safety, and measurable outcomes in a highly regulated environment.</p><p>
As an Applied AI ML Director in the Commercial &amp; Investment Bank(CIB) Ai4Tech Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements.
</p><p></p><p><b>Job responsibilities</b></p><ul><li>
Establish and promote common AI assets to drive efficiency and scale across CIB use cases.</li><li>
Design and deliver GenAI solutions using advanced large language models (LLMs) and related techniques.</li><li>
Define robust evaluation frameworks and feedback loops for agentic systems and GenAI applications to ensure safety, accuracy, and continuous improvement.</li><li>
Advise on strategy and the development of multiple products, applications, and technologies, aligning AI roadmaps with business outcomes.</li><li>
Serve as the lead advisor on technical feasibility and business value for applied AI/ML use cases.</li><li>
Liaise with firmwide AI/ML stakeholders to coordinate standards, governance, and adoption.</li><li>
Translate complex technical issues, trends, and approaches for senior leadership to enable strategic, well-informed decisions on technology advancements.</li><li>
Influence across business, product, and technology teams and successfully manage senior stakeholder relationships.</li><li>
Ensure compliance with firm policies and applicable regulations, integrating model governance, risk controls, and monitoring into AI lifecycle practices.</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
MS with 10+ years of experience or PhD with 5+ years of experience in Computer Science, Machine Learning, or a related field.</li><li>
Formal training or certification in machine learning; with 5+ years of applied experience in one or more programming languages (e.g., Python, Java, C/C++).</li><li>
Strong understanding of AI implementation in software development, including modernization of legacy codebases.</li><li>
Deep expertise in LLM techniques (e.g., agents, planning, reasoning) and related methods.</li><li>
Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph); verify any third‑party tools are approved for use at JPMorgan Chase before implementation.</li><li>
Experience with vector databases, scalable retrieval systems, and evaluation metrics for LLMs.</li><li>
Hands-on experience in code and architecture, collaborating closely with engineering to productionize experimental results.</li><li>
Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow.</li><li>
Solid understanding of ML techniques, especially in Natural Language Processing (NLP) and LLMs.</li><li><p>
Experience in leading technologies to anticipate, manage, and resolve complex technical challenges within your domain.</p><p>
</p></li></ul><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.<br>
using Advanced knowledge in Reinforcement Learning or Meta Learning.</li><li>
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.</li><li>
Background in model governance, bias mitigation, and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Director

<div><b>JOB DESCRIPTION</b><p><br>
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm&rsquo;s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
</p><p>As an Applied AI ML Data Scientist-Senior Associate on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
</p><p><b>Job responsibilities</b></p><ul><li>
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.</li><li>
Develop GenAI and LLM solutions to solve business problems.</li><li>
Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs.
</li><li>Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
</li><li>Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
</li><li>Communicate AI/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
PhD in Computer Science or a related quantitative discipline with 1+ years of relevant experience or MS/BS in Computer Science or a related field with 2+ years of relevant experience.</li><li>
Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.</li><li>
Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.</li><li>
Demonstrated experience working with large and complicated datasets.</li><li>
Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.</li><li>
Experience integrating user feedback to establish agentic refinement and self-improving AI applications.</li><li>
Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.</li><li>
Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.</li><li>
Excellent problem solving, communication (verbal and written), and teamwork skills.</li></ul><p>
</p><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience working with engineering teams to operationalize ML models.</li><li>
Expertise in designing and implementing pipelines using RAG and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AIML Data Scientist-Senior Associate

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><div>
</div><ul><li><p>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</p><p>
</p></li><li>Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.</li><li>
Mentor and guide team members, fostering an inclusive culture with a growth mindset and supporting career development.</li><li>
Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.</li><li>
Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.</li><li>
Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants.</li><li>
Review, debug, and optimize code written by others, ensuring operational stability and scalability.</li><li>
Identify opportunities to automate and remediate recurring issues, improving overall system reliability.</li><li>
Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.</li><li><p>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</p><p>
</p></li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification in software engineering concepts and 5+ years applied experience</li><li>
Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)</li><li>
Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability</li><li>
Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants</li><li>
Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions</li><li>
Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)</li><li>
Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)</li><li><p>
Hands-on practical experience delivering system design, application development, testing, and operational stability</p><p>
</p></li><li>Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li><p>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</p><p>
</p></li></ul><div></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)</li><li>
AWS Certifications (Solution Architect Associate or Professional) are advantageous</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - Agentic AI, Java/Python

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.</p><p>
As a Machine Learning Engineer &ndash; Document Digitization (LLMs)- Senior Associate in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.</p><p><b>
Job responsibilities</b></p><ul><li>
Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.</li><li>
Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.</li><li>
Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.</li><li>
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.</li><li>
Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).</li><li>
Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.</li><li>
Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.</li><li>
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.</li><li>
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.</li><li>
Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.</li><li>
Contribute to communities of practice and explore new and emerging technologies.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.</li><li>
Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).</li><li>
Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.</li><li>
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).</li><li>
Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.</li><li>
Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).</li><li>
Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).</li><li>
Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.</li><li>
Strong understanding of SDLC, CI/CD, resiliency, and security practices.</li><li>
Demonstrated ability to accelerate development using AI technologies.</li><li>
Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience in financial services, especially investment banking or credit risk operations</li><li>
Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs</li><li>
Familiarity with distributed computing, data sharing, and DDP training</li><li>
Experience in design/code reviews and mentoring teams</li><li>
AWS Generative AI Developer Professional certification or equivalent</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

EDETEK Inc.

<div>
 Founded in 2009, EDETEK is a global leader in clinical technology and services, delivering high-quality, AI-powered platforms and solutions to pharmaceutical, biotechnology, and medical device companies. With a presence across four continents and a client base of over 100 biopharmaceutical companies, EDETEK is transforming clinical development through cloud-native technologies, intelligent data management, and automation. Our platforms are built for scalability, interoperability, and compliance.
 <br/>
 <br/>
 The Director of AI will lead the development and implementation of AI strategies to enhance clinical development processes. This role is responsible for architecting scalable AI solutions, guiding technical execution, and driving innovation across EDETEK's AI product portfolio. The ideal candidate will have deep expertise in AI and clinical development for life sciences companies, with a strong background in machine learning, data science, and enterprise AI systems.
 <br/>
 <br/>
 This role requires a dynamic leader who thrives in a fast-paced, startup-like environment and can translate business goals into impactful AI solutions.
 <br/>
 <br/>
 <strong>
  Essential Functions And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Strategy &amp; Leadership
  </li>
  <li>
   Define and execute the AI vision aligned with EDETEK's strategic goals.
  </li>
  <li>
   Lead cross-functional teams to deliver AI-driven capabilities across clinical development.
  </li>
  <li>
   Provide technical leadership and mentorship across the AI engineering team.
  </li>
  <li>
   Inform and deliver on ambitious product roadmaps to accelerate growth.
  </li>
  <li>
   AI Architecture &amp; Development
  </li>
  <li>
   Architect and build scalable AI infrastructure and solutions to support business growth.
  </li>
  <li>
   Oversee model training, optimization, and deployment of end-to-end ML models.
  </li>
  <li>
   Define best practices for AI/ML lifecycle management and governance.
  </li>
  <li>
   Ensure compliance with industry standards and regulatory frameworks.
  </li>
  <li>
   Collaboration &amp; Stakeholder Engagement
  </li>
  <li>
   Collaborate with stakeholders to translate business goals into technical solutions.
  </li>
  <li>
   Partner with engineering, product, and clinical teams to integrate AI into platform capabilities.
  </li>
  <li>
   Communicate AI strategy and progress to executive leadership and external partners.
  </li>
  <li>
   Innovation &amp; Technical Execution
  </li>
  <li>
   Lead initiatives in advanced AI domains including transfer learning, generative models, and reinforcement learning.
  </li>
  <li>
   Drive the development of enterprise knowledge management systems, NLP frameworks, and semantic data integration.
  </li>
  <li>
   Implement reasoning methodologies including formal logic inference, graph analytics, and machine learning discovery techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Engineering, Computer Science, or a related quantitative field; advanced degree preferred.
  </li>
  <li>
   6+ years of hands-on experience in clinical trials and clinical development.
  </li>
  <li>
   3+ years of experience building and deploying AI/ML solutions and products.
  </li>
  <li>
   Strong background in AI/ML fundamentals and software development.
  </li>
  <li>
   Experience with modern databases, cloud environments, and data ecosystems.
  </li>
  <li>
   Proven success in leading large-scale projects with multiple stakeholders.
  </li>
  <li>
   Ability to thrive in a startup-mode environment and manage change effectively.
  </li>
  <li>
   Excellent communication and interpersonal skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text models, reinforcement learning, and Agentic AI.
  </li>
  <li>
   Proficient in deep programming and production-grade AI implementation.
  </li>
  <li>
   Experience designing enterprise knowledge systems, semantic web frameworks (RDF, OWL, SPARQL), and healthcare classification systems (SNOMED CT, CDISC, MeSH).
  </li>
  <li>
   Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine learning, statistics, computer science).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join EDETEK?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to lead and innovate in a dynamic and growing company.
  </li>
  <li>
   Collaborative and inclusive work environment.
  </li>
  <li>
   Competitive salary and benefits package.
  </li>
  <li>
   Make a significant impact on the future of clinical development through AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Benefits vary by country, but remain competitive. Below is a sample of the benefits offered to U.S. employees.
 <br/>
 <br/>
 <ul>
  <li>
   Choice of comprehensive Medical, Vision and Dental Insurance plans
  </li>
  <li>
   Paid vacation time and sick days
  </li>
  <li>
   Corporate holidays annually
  </li>
  <li>
   Participation in the 401K Plan
  </li>
  <li>
   Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc
  </li>
  <li>
   Health Advocate and Employee Assistance Program
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Location
   <br/>
   <br/>
  </strong>
 </strong>
 NJ with onsite or hybrid work arrangements. Candidates should be able to be in the area up to 50% of the time.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer Statement
  <br/>
  <br/>
 </strong>
 EDETEK is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status or any other status protected by applicable law. This policy applies to all terms, conditions and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination. Whenever possible, the company makes reasonable accommodations for qualified individuals with disabilities to the extent required by law.
</div>


Director of AI

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As an Applied AI ML Lead at JPMorgan Chase within the Commercial and Investment Bank's Digital and Platform Services team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p><b>
Job responsibilities</b></p><ul><li>
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in one or more programming languages such as Java, Scala, Python</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Experience with AI and ML techniques, including NLP techniques, working with LLMs, Generative AI, and coding assistants is required
</li><li>Experience with messaging and streaming platforms, including AMQP, Kafka, Confluent Kafka, AWS MSK, Kinesis, Flink, Spark, etc is needed</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with data engineering solutions using AWS or Azure
</li><li>Practical cloud-native experience; AWS Certifications (Solution Architect Associate or Professional) would be advantageous</li><li>
Understanding of data stores for structured and unstructured data viz. data warehouses, lakes, lake houses</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Lead - Java / Python

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.</p><div>
As a Software Engineer III at JPMorgan Chase within the Cybersecurity Technology &amp; Controls, you will join a team building model serving and agentic AI platforms on AWS.</div><div>
</div><div></div><div><b>Job responsibilities</b></div><div>
</div><ul><li>Work with AWS services including Lambda, API Gateway, ECS, RDS/Aurora, DynamoDB, S3, and CloudWatch
</li><li>Develop backend services using Python (FastAPI, Flask) for model APIs, agent integrations, and automation workflows
</li><li>Contribute to building AI agent features and intelligent automation components
</li><li>Integrate LLM APIs (Amazon Bedrock, OpenAI) into backend services and workflows
</li><li>Implement message queuing and event handling using Amazon SQS, SNS, Kinesis, or Kafka (MSK)
</li><li>Assist in building model deployment pipelines and infrastructure automation using AWS services
</li><li>Write infrastructure-as-code using Terraform or AWS CloudFormation under guidance from senior engineers
</li><li>Implement logging and monitoring using CloudWatch, X-Ray, and other observability tools
</li><li>Write unit tests, integration tests, and participate in code reviews
</li><li>Collaborate with ML engineers and senior developers to understand requirements and implement solutions
</li><li><p>Learn and apply AWS best practices for security (IAM, VPC, Secrets Manager) and cost optimization
</p></li></ul><p></p><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><div></div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience, including backend software development using Python</li><li>
Working knowledge of AWS Cloud services with hands-on experience in at least 3-4 core services (Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, or CloudWatch)
</li><li>Basic understanding of SQL databases (PostgreSQL, MySQL, or Aurora)
</li><li>Experience building RESTful APIs and understanding of microservices principles
</li><li>Familiarity with Docker and containerization concepts
</li><li>Understanding of version control (Git) and basic CI/CD concepts
</li><li>Eagerness to learn about AI/ML systems, agent-based architectures, and MLOps
</li><li>Strong problem-solving mindset and attention to detail
</li><li>Good communication and teamwork skills
</li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><div>
</div><ul><li>AWS certification (Cloud Practitioner, Solutions Architect Associate, or Developer Associate)
</li><li>Exposure to Kafka, Amazon Kinesis, MSK, or other messaging/streaming systems
</li><li>Familiarity with LLM APIs (Amazon Bedrock, OpenAI, Anthropic) or AI frameworks (LangChain)
</li><li>Basic understanding of ML model deployment, SageMaker, or MLOps concepts
</li><li>Experience with Terraform or AWS CloudFormation
</li><li>Knowledge of microservices architecture patterns and distributed systems
</li><li>Exposure to Kubernetes (EKS) or container orchestration
</li><li><p>Understanding of AWS security best practices (IAM roles, VPC, security groups)
</p></li></ul><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Python/AWS/Kafka

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