lead machine learning engineer – agentic ai, vice president

lead software engineer- python / big data / aws/ etl pipelines

lead software engineer- python, aiml, cloud

administrative assistant/ project manager-4

administrative assistant/ project manager-5

data engineer

data solution engineer Jobs in Jersey City

data solution engineer

lead machine learning engineer – agentic ai, vice president Jobs in Jersey City

lead software engineer- python / big data / aws/ etl pipelines Jobs in Jersey City

lead software engineer- python, aiml, cloud Jobs in Jersey City

machine learning engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You&rsquo;ll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk.</p><p>
As a Lead Machine Learning Engineer &ndash; Agentic AI in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering and multi-agent system design to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in ML engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business.</p><p><b>
Job responsibilities:</b></p><ul><li>
Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions for the Risk business.</li><li>
Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.</li><li>
Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, and guardrails.</li><li>
Guide research on context and prompt engineering techniques to improve prompt-based model performance, utilizing libraries such as SmartSDK and LangGraph.</li><li>
Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale.</li><li>
Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.</li><li>
Write secure, high-quality production code and conduct code reviews.</li><li>
Partner with Data Science, Product, and Business teams to identify requirements and develop solutions.</li><li>
Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.</li><li>
Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.</li></ul><p><b>
Required qualifications, capabilities, and skills:</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
10+ years of experience in machine learning engineering.</li><li>
Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.</li><li>
Hands-on experience in system design, application development, testing, and operational stability.</li><li>
Experience using LangGraph or SmartSDK for multi-agent orchestration.</li><li>
Experience with AWS and infrastructure-as-code tools such as Terraform.</li></ul><p><b>
Preferred qualifications, capabilities, and skills:</b></p><ul><li>
Strategic thinker with the ability to drive technical vision for business impact.</li><li>
Demonstrated leadership working with engineers, data scientists, and ML practitioners.</li><li>
Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.</li><li>
Experience with agentic telemetry and evaluation services.</li><li>
Hands-on experience building and maintaining user interfaces.</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>

Lead Machine Learning Engineer – Agentic AI, Vice President

<div><b>JOB DESCRIPTION</b><div><div><div><br>
</div><p>As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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>Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
</li><li>Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
</li><li>Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
</li><li>Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation.
</li><li>Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
</li><li>Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
</li><li>Communicate AI/ML/LLM/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/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>3+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
</li><li>Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
</li><li>Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
</li><li>Solid understanding of fundamentals of statistics, 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/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
</li><li>Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
</li><li>A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.</li></ul><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><ul><li>Familiarity with the financial services industries.
</li><li>Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul></div></div><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>

AIML Associate - DCL

<div><b>JOB DESCRIPTION</b><p><br>
As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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><ul><li>Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
</li><li>Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
</li><li>Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
</li><li>Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation.
</li><li>Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
</li><li>Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
</li><li>Communicate AI/ML/LLM/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/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
</li><li>Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
</li><li>Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
</li><li>Solid understanding of fundamentals of statistics, 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/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
</li><li>Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
</li><li>A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.</li></ul><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><ul><li>Familiarity with the financial services industries.
</li><li>Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</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>

AIML Sr. Associate - DCL

<div><b>JOB DESCRIPTION</b><p><br>
We offer an opportunity to shape your career and embark on an exciting journey where you can push the boundaries of what&rsquo;s possible.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking &ndash; Applied AI/ML team, you are an integral member of an agile group dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will drive critical technology solutions across multiple technical domains and business functions, supporting the firm&rsquo;s strategic objectives.</p><p>
<b>Job Responsibilities</b></p><ul><li>
Design, develop, and troubleshoot software solutions for complex business challenges</li><li>
Write secure, high-quality production code and review code from team members</li><li>
Identify and automate remediation of recurring issues to improve system stability</li><li>
Lead architectural design sessions and provide technical guidance for on-premises and cloud systems</li><li>
Promote adoption of new technologies through internal communities of practice</li><li>
Foster a culture of diversity, equity, and respect within the team</li><li>
Develop and maintain applications using Python and AWS</li><li>
Create and review architecture and design deliverables, ensuring best practices are followed</li><li>
Integrate AI/ML solutions into domain-specific operations processing systems</li><li>
Lead code reviews, design discussions, and agile planning sessions</li><li>
Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance</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>
Strong experience building and running applications on AWS or other public cloud platforms</li><li>
Advanced proficiency in Python programming</li><li>
Proven experience in system design, application development, testing, and maintaining operational stability</li><li>
Skilled in automation, continuous delivery, and the full Software Development Life Cycle</li><li>
Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows</li><li>
Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies</li><li>
Understanding of IT systems in the financial services industry</li><li>
Experience with code reviews and agile methodologies</li><li>
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders</li><li>
Commitment to continuous learning and creative problem-solving</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development</li><li>
Familiarity with data storage systems such as Postgres and OpenSearch, and AWS services including S3, SageMaker, and Bedrock</li><li>
Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), and event-driven systems</li><li>
Knowledge of security best practices in cloud and application development</li><li>
Experience integrating AI/ML models into production environments</li><li>
Ability to mentor and guide junior engineers</li><li>
Participation in technology events or software engineering communities</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>
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- Python, AIML, Cloud

<div><b>JOB DESCRIPTION</b><p><br>
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. 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.<br>
<br>
J<b>ob Responsibilities</b></p><ul>
<li>Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.</li>
<li>Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.</li>
<li>Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.</li>
<li>Collect and curate datasets for model training and evaluation.</li>
<li>Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.</li>
<li>Monitor and improve model performance through feedback and active learning.</li>
<li>Collaborate with technology teams to deploy and scale the developed models in production.</li>
<li>Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.</li>
Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.<br>
<li>
</li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul>
<li>Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.</li>
<li>Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.</li>
<li>Advanced python programming skills with experience writing production quality code</li>
<li>Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.</li>
<li>Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.</li>
<li>Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.</li>
<li>Familiarity with latest development in deep learning frameworks.
</li><li>Ability to communicate complex concepts and results to both technical and business audiences.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Prior experience of developing solutions for Financial domain</li>
<li>Exposure to distributed model training, and deployment</li>
<li>Familiarity with techniques for model explainability and self-validation</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 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.</div>

Applied AIML, Sr Associate

Deloitte

<div>As a Senior GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI &amp; engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.<br>
<br>
<b>Recruiting for this role ends on March 17, 2026.</b><br>
<br>
<b>Key Responsibilities</b><b>:</b><br>
<br>
<b>Outcome-Driven Accountability: </b>Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.<br>
<br>
<b>Technical Leadership and Advocacy: </b>Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.<br>
<br>
<b>Engineering Craftsmanship: </b>Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.<br>
<br>
<b>Customer-Centric Engineering: </b>Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.<br>
<br>
<b>Incremental and Iterative Delivery: </b>Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.<br>
<br>
<b>Cross-Functional Collaboration and Integration: </b>Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.<br>
<br>
<b>Advanced Technical Proficiency: </b>Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.<br>
<br>
<b>Domain Expertise: </b>Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.<br>
<br>
<b>Effective Communication and Influence: </b>Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.<br>
<br>
<b>Engagement and Collaborative Co-Creation: </b>Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.<br>
<br>
<b>The team</b><b>:</b> US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.<br>
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<b>Key Qualifications</b><b>:</b><br>
<ul><li>
A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.</li><li>
Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.</li><li>
3+ years of experience with in AI/ML, and experience with GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.</li><li>
Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.</li><li>
Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.</li><li>
Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.</li><li>
Strong understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.</li></ul><br>
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Other:</b><br>
<ul><li>
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li><li>
Ability to travel 10%, on average, based on the work you do and products you build.</li><li>
Limited immigration sponsorship may be available.</li></ul><br>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $210,600.<br>
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You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.<br>
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#EA_ExpHire<br>
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#EA_ITS_ExpHire<br>
#PXE_JOBS</div>

Senior GenAI Engineer

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<div>Jersey City, New Jersey 07030 Posted March 2nd, 2026
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<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role </b>- Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI)<br>
<b>Location - </b>Tampa, FL and Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></p><p></p><p><b><br>
Job Description:</b></p><ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Python Developer– Generative AI & Cloud (Agentic AI)-5

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