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ai engineer intern

Chubb Insurance

<div>As an AI Engineer Intern, you'll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&amp;C insurance. This internship provides hands-on exposure to three core disciplines: applied AI/ML, production AI/LLM systems engineering, and agentic AI systems. You'll contribute to real projects across the AI product lifecycle, from model experimentation to production support, while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubb's AI-driven transformation.
We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g., GitHub Copilot, Cursor, Claude Code) and agentic development environments to accelerate your workflow, debug problems, and explore solutions.
Key Responsibilities
Applied AI/ML
<ul><li>Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments
</li><li>Support experimentation with LLM techniques including prompt engineering, fine-tuning workflows, and evaluation methods
</li><li>Help curate and prepare datasets for model training and evaluation
</li><li>Write and maintain Python scripts for data processing, model inference, and pipeline automation
</li></ul>Production AI Systems
<ul><li>Contribute to building and testing AI service components including APIs, inference pipelines, and integration layers
</li><li>Assist with prompt management, versioning, and testing workflows
</li><li>Support documentation and testing of AI system integrations
</li><li>Learn production engineering practices including containerization (Docker), version control, and CI/CD workflows
</li></ul>Agentic AI Systems
<ul><li>Explore agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) through guided prototyping projects
</li><li>Assist in testing agent behaviors, tool integrations, and multi-step workflows
</li><li>Support evaluation and observability efforts including prompt tracing and performance logging
</li><li>Document findings and contribute to internal knowledge sharing.
</li></ul>General Engineering Practices
<ul><li>Write clean, well-documented code following team standards and guidelines
</li><li>Participate in code reviews (as reviewer and reviewee) to develop engineering judgment
</li><li>Communicate progress, blockers, and learnings clearly to mentor and team
</li><li>Complete a capstone project demonstrating skills developed during the internship</li></ul></div>
 <div><ul><li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related technical field
</li><li>Proficiency in Python programming (coursework, personal projects, or prior internship experience)
</li><li>Foundational understanding of machine learning concepts (supervised/unsupervised learning, neural networks, model evaluation)
</li><li>Familiarity with version control systems (Git)
</li><li>Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude) as part of your development workflow
</li><li>Strong problem-solving skills and attention to detail
</li><li>Intellectual curiosity and eagerness to learn in a fast-paced environment
</li></ul>Preferred
Exposure to ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn) 
<ul><li>
</li></ul>The pay range for the role is $20/hr. - $24/hr. The specific offer will depend on an applicant&rsquo;s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.</div>
 <div><div>Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. 
</div><div></div> 
<div>At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.</div></div>

AI Engineer Intern

Realign

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: Python Engineer &ndash; Agentic AI &amp; MCP Orchestration</div><div>
Location: Jersey City, NJ/ Pennington, NJ</div><div>
FTE only</div><div></div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><div></div><div> 
Technical Skills</div><ul><li>Strong hands-on experience in Python for building production-grade applications.</li><li>Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).</li><li>Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).</li><li>Practical experience setting up and configuring Model Context Protocol (MCP) servers.</li><li>Ability to implement and integrate MCP Clients with external systems and AI models.</li><li>Proficiency working with LLMs, prompt engineering patterns, and structured output handling.</li><li>Experience with API integration, event-driven interactions, and tool/skill registration for agents.</li><li>Strong understanding of asynchronous Python (asyncio, concurrency patterns).</li><li>Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).</li><li>Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.</li></ul><div></div><div> 
Functional Skills</div><ul><li>Ability to translate business problems into agent-driven automation workflows.</li><li>Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.</li><li>Familiarity with governance, model safety constraints, and responsible AI usage patterns.</li><li>Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.</li><li>Effective communication with architects, product teams, and business stakeholders.</li><li>Comfort working in Agile environments with rapid experimentation and iteration.</li></ul><div></div><div> 
Roles Responsibilities</div><div>
Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.</div><ul><li>Build, configure, and maintain MCP servers to expose tools, data sources, or domain capabilities to LLM agents.</li><li>Implement and configure MCP clients to interact with multiple MCP tools, AI models, and external systems.</li><li>Develop orchestration logic to coordinate multi-agent behaviors, tool execution, validations, and decision routing.</li><li>Integrate LLMs with internal systems using structured prompts, tool definitions, and safe execution patterns.</li><li>Optimize agent workflows for reliability, performance, security, and cost.</li><li>Create reusable frameworks for agent tools, context handling, memory, and reasoning cycles.</li><li>Collaborate with architecture, platform, and product teams to align on engineering best practices.</li><li>Implement observability: logging, tracing, and monitoring of agent reasoning steps and tool calls.</li><li>Document MCP schemas, agent behaviors, tool interfaces, and operability guidelines.</li></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER SRE ENGINEER (SITE RELIABILITY/RESILIENCY)</div>

Python Engineer / Agentic AI & MCP Orchestration-6

Tiger Analytics

<div>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. 
Requirements 
Key Responsibilities<ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul>
Required Skills<ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</div>

Senior Data Engineer

SynergisticIT

<div>
 
 
 "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
 
 
 
 
 
 
 If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
 
 job-ready on paper
 
 , sound
 
 confident in interviews
 
 , and demonstrate
 
 hands-on ability
 
 in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
 
 interviews and offers
 
 .
 
 
 
 
 
 Since
 
 2010
 
 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
 
 Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
 
 , and many more&mdash;often in the
 
 $95k to $154k
 
 offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
 
 close the gap between what you know and what employers expect you to prove
 
 .
 
 
 Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 
 
 
 
 
 
 What roles are in demand right now?
 
 
 
 A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
 
 entry-level software programmer
 
 ,
 
 Java full stack developer
 
 ,
 
 Python/Java developer
 
 ,
 
 data analyst
 
 ,
 
 data engineer
 
 ,
 
 data scientist
 
 , and
 
 machine learning/AI engineer
 
 . In other words, SynergisticIT focuses on building candidates across
 
 Java / Full Stack / DevOps
 
 and
 
 Data Analytics / Data Engineering / Data Science / ML/AI
 
 based on what employers repeatedly request.
 
 
 
 
 
 
 Who benefits most from this model?
 
 
 
 If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 
 <ul>
 <li>
 You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
 </li>
 <li>
 You know tools, but you can&rsquo;t explain them confidently in interviews
 </li>
 <li>
 You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
 </li>
 <li>
 You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
 </li>
 </ul>
 
 
 
 
 
 Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
 
 
 <ul>
 <li>
 
 What Recruiters Look for in Junior Developers | SynergisticIT
 
 </li>
 <li>
 
 Software engineering or Data Science as a career?
 
 </li>
 <li>
 
 How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
 
 </li>
 </ul>
 
 
 
 
 SynergisticIT works especially well for candidates such as: recent grads in
 
 CS/Engineering/Math/Stats
 
 , jobseekers who were
 
 laid off
 
 and need an updated stack, career switchers who want a guided plan, candidates with
 
 career gaps
 
 , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
 
 F1/OPT
 
 needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
 
 STEM extension
 
 and provides process support for
 
 H-1B and Green Card filing
 
 once employed (as applicable through employers and standard processes).
 
 
 
 
 
 If you want to explore, here are the key links:
 
 <ul>
 <li>
 
 Event videos (OCW, JavaOne, Gartner):
 
 </li>
 <li>
 
 USA Today feature
 
 </li>
 <li>
 
 Contact Us:
 
 https://www.synergisticit.com/contact-us/
 </li>
 </ul>
 
 You don&rsquo;t need more random applications. You need a job-ready plan.
 
 Start smarter&mdash;start with the right support.
 
 
 
 
 
 
 
 
 Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
 
 
 
 
 
 
 
 Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
 
 
 
 
 
 
</div>

entry level data scientist/ Junior java developer

Information Technology Senior Management Forum

<div><div>Posted Date
3/10/2026
</div><div>Description
<div>We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally.
Responsibilities<ul><li>
Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.</li><li>
Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.</li><li>
Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.</li><li>
Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.</li><li>
End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.</li><li>
Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.</li><li>
Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.</li><li>
Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.</li></ul>
Required Qualifications<ul><li>
Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.</li><li>
Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python.</li><li>
AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.</li><li>
Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.</li><li>
DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.</li><li>
Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles.</li><li>
Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.</li><li>
Problem-Solving: Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.</li></ul>
Education:
Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience
Desired Skills
<ul><li>Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant).</li><li>
Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments.</li><li>
Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).
-
Anticipated Posting Close Date:
Mar 16, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Machine Learning Engineer Vice President

JPMorganChase

<div>JOB DESCRIPTION 
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.
Job responsibilities
<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> 
Required qualifications, capabilities, and skills
<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> 
Preferred qualifications, capabilities, and skills
<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>ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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>JOB DESCRIPTION<div><div><div> 
</div>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.
Job responsibilities
<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> 
Required qualifications, capabilities, and skills
<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> 
Preferred qualifications, capabilities, and skills
<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>ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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

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