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senior genai engineer Jobs in Jersey City

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senior data engineer

Tiger Analytics

<div><p>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.</p><p>
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.</p><b><br>
Requirements</b><p><b><br>
Key Responsibilities</b></p><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><p><b>
Required Skills</b></p><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><br>
<b>
Benefits</b><p><br>
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.</p><p></p><p><b><i>
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.</i></b></p></div><p></p>

Senior Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where your curiosity and technical mastery will impact innovation and deliver measurable results and work to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis functions.</p><p>
As a Data Domain Modeling Engineer, within the Transformation and Innovation team, you will design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users, data analysts, automation, quantitative research and machine learning teams.
</p><p><b>Job Responsibilities:</b></p><ul><li>
Design, develop, and refine data models that address different P&amp;A community, ensuring effective delivery and usability of data product.
</li><li>Work with business and data partners to understand data requirements, investigate data sources and recommend improvements to data processes or structures.
</li><li>Produce data analysis to address questions from stakeholders, supporting the understanding and adoption of data solution</li><li>
Support different variety of data sets and use cases relating to Planning &amp; Analysis processes, collaborating with senior team members on solution design</li><li>
Contribute ideas and assist in developing solution for key data challenges and help implements innovative solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics</li><li>
Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank
</li></ul><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models</li><li>
Demonstrate experience using SQL and Python for data analysis, data engineering and transformation; comfortable with writing queries and scripts to uncover business insight and build data solution</li><li>
Hands on in building and prototyping data model to address and support user reporting delivery</li><li>
Curious and inquisitive mind to dig deep into the business and data to understand the context</li><li>
Comfortable working with evolving requirement and proactively seek out information to clarify objective</li><li>
Strong communication skills to present data findings and support data consumers</li></ul><p><b>
Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience with Databricks</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>

Transformation and Innovation Team - Data Domain Modeling Engineer Associate

Photon

<div><div><div><div><p>Senior Engineer in Production Management<br>
</p></div><p></p><div><p>The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area.
</p></div><div><p>The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management.
</p></div><div><p>The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects.
</p></div><div><p>Excellent communication skills required to negotiate internally.
 </p></div><div><p>Involved in short- to medium-term planning of actions and resources for own area.<br>
</p></div><p></p><div><p><b>Responsibilities:
</b></p></div><div><ul><li>Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications.
</li></ul></div><div><ul><li>Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures.
</li></ul></div><div><ul><li>Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies.
</li></ul></div><div><ul><li>Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices.
</li></ul></div><div><ul><li>Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training.
</li></ul></div><div><ul><li>Fosters a culture that promotes transparency and innovation for increased team productivity.
</li></ul></div><div><ul><li>Coaching members of the team and outside the immediate reporting line about the best practices and recognises anti-patterns that are quickly addressed.
</li></ul></div><div><ul><li>Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organisation processes.
</li></ul></div><div>Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period.<br>
<ul><li>
</li></ul></div></div><p></p><div><div><p><b>Qualifications:
</b></p></div><div><ul><li>Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value
</li></ul></div><div><ul><li>Excellent engineering skills and senior architecture
</li></ul></div><div><ul><li>Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
</li></ul></div><div><ul><li>Polyglot full-stack developer mentality and ability to pick up new languages and skills
</li></ul></div><div><ul><li>Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps
</li></ul></div><div><ul><li>Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks
</li></ul></div><div><ul><li>Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable
</li></ul></div><div><ul><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable
</li></ul></div><div><ul><li>Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban)
</li></ul></div><div><ul><li>Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
</li></ul></div><div><ul><li>Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
</li></ul></div><div><ul><li>Degree in computer science/mathematics/physics or related technical subject is desirable
</li></ul></div><div><ul><li>Experience of senior stakeholder management
</li></ul></div><div>Consistently demonstrates clear and concise written and verbal communication skills<br>
<ul><li>
</li></ul></div><p></p><div><p><b>Role Skills Matrix:<br>
</b></p></div></div><div></div><div><div><div><div><div><div><div><div><p><b>Skill<br>
</b></p></div></div></div><div><div><div><p><b>Rating*<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p>Containerisation<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Kubernetes<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>GitOps<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Infrastructure as Code<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Configuration Management<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Observability (tools and implementation)<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Middleware configuration<br>
</p></div></div></div><div><div><div><p>2<br>
</p></div></div></div></div><br>
<div><div><div><div><p>High Availability Systems<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Hyperscale Systems<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Programming (Java, Python or equivalent)<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
</div></div></div></div><p></p><div><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul></div><div><p>1 = Junior contributor, understands key concepts and can operate with close supervision
</p></div><div><p>2 = Proficient contributor, fully grasps the key concepts, but no production experience
</p></div><div><p>3 = Independent contributor, understands technology well and has delivered production systems
</p></div><div><p>4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
</p></div><div><p>5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap
</p></div><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 40,000
<br>
Maximum Compensation: USD 141,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post</p></div></div>

Sr Full Stack Engineer - Jersey City

<div><b>JOB DESCRIPTION</b><p><br>
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector- Liquidity Risk, you are an integral part of a fast paced agile team working on cutting edge technologies to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p><b>
Job responsibilities</b></p><ul><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Serves as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in one or more programming language including Java and/or Python</li><li>
Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake</li><li>
Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment</li><li>
Ability to collaborate well with global teams in geographically distributed locations across time zones</li><li>
Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered</li><li>
Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security</li></ul><div><b>
Preferred qualifications, capabilities, and skills</b></div><ul><li>
AI, ML, Claude,
</li><li>React / Java Script Development</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

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

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>
<br>
<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>
<b>
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>
<br>
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>
<br>
#EA_ExpHire<br>
<br>
#EA_ITS_ExpHire<br>
#PXE_JOBS</div>

Senior GenAI Engineer

Realign

<div>Jersey City, New Jersey 07030 Posted February 28th, 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-5

<div><b>JOB DESCRIPTION</b><p><br>
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering &amp; Architecture 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>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 3 + years applied experience.</li><li>
Proficiency in Data Engineering &amp; Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions</li><li>
Advanced in one or more programming language(s) eg. Java, Python, C/C++, C#</li><li>
Working knowledge of relational and NoSQL databases and data lake architectures</li><li>
Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application &amp; DB.
</li><li>Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Practical cloud native experience</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with modern data technologies such as Databricks or Snowflake.</li><li>
Hands-on experience with Spark/PySpark and other big data processing technologies</li><li>
Knowledge of the financial services industry and their IT systems</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>
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<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Data Engineering Java/Python

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