application development technology sr. lead analyst, senior vice president

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senior vice president, application development manager

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application development technology sr. lead analyst, senior vice president Jobs in Jersey City

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ai transformation analyst- senior product owner Jobs in Jersey City

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

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applied ai ml lead java python

JPMorganChase

<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>
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>
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>
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>
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- Java/Python/ AI Solutions at JPMorganChase within the Asset and Wealth Management Technology 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. 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>
This is a rare opportunity to help shape the future of our Private Bank. With the sponsorship from the CEO and the heads of the business, our goal is to create an Agentic Private Bank - reimagining the entire process from start to finish, rethinking the operating model including organizational structures and developing AI agents equipped with the latest tools and technologies to fundamentally reshape how we perform this business.
</p><p>Join our dynamic team of innovators and technologists, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment&mdash;one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.</p><p>
</p><p><b>Job responsibilities</b></p><div>
</div><ul><li>Lead the end-to-end design, development, and deployment of client-facing Generative AI and Agentic AI solutions that enhance automation, personalization, and decision-making for external clients.</li><li>
Architect and implement prompt-based models on Large Language Models (LLMs) for NLP tasks tailored to financial services use cases such as document summarization, intelligent search, conversational interfaces, and advisory support.</li><li>
Design and build autonomous agentic AI workflows capable of multi-step reasoning, tool use, and task execution with appropriate human-in-the-loop guardrails aligned with emerging enterprise patterns such as OpenAI Frontier and Anthropic Claude Cowork
</li><li>Implement Model Context Protocol (MCP) integrations to enable AI agents to securely connect to and interact with external data sources, APIs, and enterprise tools in real time.</li><li>
Build and maintain scalable data pipelines and data processing workflows for both structured and unstructured data, leveraging cloud services to support LLM-based features and real-time client interactions.</li><li>
Design and develop robust APIs and microservices to integrate AI/LLM models into client-facing platforms, ensuring seamless, low-latency experiences.</li><li>
Develop secure, high-quality, production-grade code that powers client-facing applications, ensuring reliability, performance, and compliance with financial industry standards.</li><li>
Produce architecture and design artifacts for complex, distributed applications while ensuring design constraints, including latency, throughput, and regulatory requirements, are met and implement observability, monitoring, and feedback loops for agentic AI systems to track agent behavior, detect hallucinations, and ensure reliability in high-stakes financial applications
</li><li>Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse datasets to inform product improvements, monitor model performance, and enhance client outcomes and proactively identify hidden problems and patterns in data and system behavior, using these insights to drive improvements to code quality, system resilience, and client experience.</li><li>
Partner closely with product, design, and business stakeholders to translate client needs and business requirements into scalable AI-driven technical solutions.</li><li>
Ensure all client-facing solutions adhere to strict security, privacy, and regulatory standards applicable to the financial services industry, including data protection, model governance, and responsible AI practices, particularly as regulators increase scrutiny of autonomous AI agents in financial services.
</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 with 5+ years of applied experience</li><li>
Strong programming proficiency in Python or Java, with demonstrated experience building AI/ML-powered applications</li><li>
Proven experience designing and developing client-facing applications with a focus on usability, performance, and reliability at scale</li><li>
Hands-on experience building data pipelines for both structured and unstructured data processing in support of AI/ML workloads</li><li>
Experience developing RESTful APIs and microservices and integrating NLP or LLM models into production software applications</li><li>
Hands-on experience with cloud platforms (AWS or Azure) for AI/ML model deployment, data processing, and infrastructure management</li><li>
Experience building agentic AI systems with multi-step reasoning, tool orchestration, and autonomous task execution within guardrailed environments</li><li>
Familiarity with agentic AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar libraries</li><li>
Strong understanding of security best practices, particularly in the context of client-facing financial applications (e.g., data encryption, access controls, regulatory compliance)</li><li>
Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies including CI/CD, application resiliency, and DevSecOps</li><li>
Experience working in a large corporate or financial services environment, with familiarity in navigating complex stakeholder landscapes and regulatory frameworks</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li><div>Experience with both Java and Python</div></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>
<div>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.<br>
</div><div></div><br>
<div>Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It&rsquo;s our mission to efficiently take care of our clients&rsquo; wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.</div></div>

Senior Lead Software Engineer- Java/Python/ AI Solutions

<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

<div><b>JOB DESCRIPTION</b><p><br>
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 at JPMorganChase within the Corporate Sector- Liquidity Risk, you are an integral part of a fast paced agile team working on cutting edge technologies 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><b>
Job responsibilities</b></p><ul><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Serves as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul><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 language including Java and/or Python</li><li>
Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake</li><li>
Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment</li><li>
Ability to collaborate well with global teams in geographically distributed locations across time zones</li><li>
Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered</li><li>
Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security</li></ul><div><b>
Preferred qualifications, capabilities, and skills</b></div><ul><li>
AI, ML, Claude,
</li><li>React / Java Script Development</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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer- Big Data / AWS / Java / Python

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