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python engineer agentic ai mcp orchestration 6

Realign

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Python Engineer &ndash; Agentic AI &amp; MCP Orchestration</b></div><div><b>
Location: </b><b>Jersey City, NJ/ Pennington, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Technical Skills</b></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><b><br>
Functional Skills</b></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><b><br>
Roles Responsibilities</b></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><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p> <p>SRE ENGINEER (SITE RELIABILITY/RESILIENCY)</p></div>

Python Engineer / Agentic AI & MCP Orchestration-6

NTT DATA

<div>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.<br>
<br>
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.<br>
<br>
NTT DATA Services currently seeks a AI Platform Architect to join our team in Jersey City, NJ.<br>
<br>
The AI Platform Architect designs and governs CLIENT's enterprise-scale AI and GenAI platforms, ensuring solutions are secure, scalable, compliant, and production-ready. This role combines hands-on cloud architecture with deep understanding of AI infrastructure and MLOps/LLMOps.<br>
<br>
<b>Key Responsibilities</b><br>
<ul><li>Design end-to-end AI platform architectures, including GenAI and agentic systems</li><li>Define standards for model deployment, monitoring, versioning, and lifecycle management</li><li>Architect secure, compliant cloud-native AI platforms (Azure/AWS/GCP)</li><li>Partner with engineering teams on Python-based services, APIs, and orchestration layers</li><li>Define LLMOps/MLOps patterns for enterprise use</li><li>Ensure alignment with risk, security, identity, and compliance requirements</li><li>Evaluate and select AI frameworks, tools, and cloud services</li><li>Contribute to long-term AI platform roadmap and scalability planning</li></ul><br>
Minimum Skills Required: Required Qualifications<br>
<ul><li>8+ years in platform or cloud architecture roles</li><li>Strong hands-on experience with Python-based backend systems</li><li>Deep experience with cloud-native architectures (containers, APIs, IaC)</li><li>Experience supporting AI/ML platforms in production</li><li>Familiarity with governance in regulated environments</li></ul><br>
What Differentiates Strong Candidates<br>
<ul><li>Experience architecting GenAI, RAG, or agentic AI platforms</li><li>Prior ownership of enterprise AI governance frameworks</li><li>Background in financial services AI platforms</li></ul><br>
About NTT DATA Services:<br>
<br>
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.<br>
<br>
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.<br>
<br>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $<b> 90-$96.50/hour.</b>. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.<br>
<br>
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</div>

AI Platform Architect

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/10/2026</p>
</div><div><p>Description</p>
<div><p>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.</p><p><b>
Responsibilities</b></p><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><p><b>
Required Qualifications</b></p><ul><li><b>
Experience: </b>5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.</li><li><b>
Programming Skills:</b> Strong object-oriented programming skills with expert-level proficiency in Python.</li><li><b>
AI/ML Expertise:</b> Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.</li><li><b>
Application Development: </b>Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.</li><li><b>
DevOps Knowledge:</b> Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.</li><li><b>
Architectural Understanding:</b> Solid understanding of modern software development practices, including microservices architecture and API design principles.</li><li><b>
Data Proficiency:</b> Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.</li><li><b>
Problem-Solving:</b> Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.</li></ul><p><b>
Education:</b></p><p>
Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience</p><p><b>
Desired Skills
</b></p><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><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Jersey City New Jersey United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$142,320.00 - $213,480.00<p><br>
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.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 16, 2026<p>
-</p><p><i>
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.</i></p><p></p><p><i><br>
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 </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
142,320.00 - 213,480.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Machine Learning Engineer Vice President

Chubb Insurance

<div><p>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.
</p><p>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.
</p><p><b>Key Responsibilities
</b></p><p><b>Applied AI/ML
</b></p><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><p><b>Production AI Systems
</b></p><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><p><b>Agentic AI Systems
</b></p><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><p><b>General Engineering Practices
</b></p><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>
<br><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><p><b>Preferred
</b></p>Exposure to ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn)<br>
<ul><li>
</li></ul><p></p><p>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.</p></div>
<br><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.<br>
</div><div></div><br>
<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

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<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)-6

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Senior Generative AI Developer<br>
<b>Location </b>&ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></div><div><b><br>
</b><br>
<b>Job Description:</b><br>
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div><b><br>
Key Responsibilities:</b><br>
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.<br>
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.<br>
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.<br>
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br>
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.<br>
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).<br>
Conduct performance tuning and optimization of AI models and APIs.<br>
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div><b><br>
Required Skills &amp; Qualifications</b><br>
8+ years of professional experience in software development and system design.<br>
Strong proficiency in Python and experience with FastAPI for API development.<br>
Hands-on experience with Generative AI frameworks and RAG architectures.<br>
Solid understanding of system and architecture design principles for distributed applications.<br>
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).<br>
Familiarity with vector databases, embedding models, and retrieval pipelines.<br>
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div><b><br>
Preferred Qualifications</b><br>
Experience with LLM fine-tuning, prompt engineering, and model evaluation.<br>
Knowledge of containerization (Docker) and orchestration (Kubernetes).<br>
Exposure to CI/CD pipelines and DevOps practices.</div><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior Generative AI Developer-6

JPMorganChase

<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

Explore 42+ Python engineer agentic ai mcp orchestration 6 in Jersey City this March. Find roles across top companies and apply now to boost your career.