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Senior Generative Ai Engineer Jobs in Edison, NJ

Senior Generative AI Developer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a dynamic and innovative Senior Generative AI Engineer to join our team, reporting directly to Hearst's Chief Product & AI Strategist. This role sits at the intersection of software ...

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

As a Senior AI Engineer, you will be a key player in the design, development, and implementation of ... Drawing on your expertise in machine learning, deep learning, and generative algorithms, you will ...

Generative AI Engineer

Manhattan, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

AI & Generative AI * Prompt Engineering * Large Language Models (LLMs) * OpenAI GPT/Codex * Anthropic Claude * Google Gemini * AI Agents and Agentic Workflows * RAG (Retrieval Augmented Generation)

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents & Copilots * Prompt Engineering * RAG (Retrieval-Augmented Generation) * Workflow Automation ...

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team ... Present results, key insights and explain complex analysis in a simple manner to senior leaders ...

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team ... Present results, key insights and explain complex analysis in a simple manner to senior leaders ...

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team ... Present results, key insights and explain complex analysis in a simple manner to senior leaders ...

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team ... Present results, key insights and explain complex analysis in a simple manner to senior leaders ...

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Senior AI Engineer Google AI & Generative Intelligence Location: [Paramus, NJ / Hybrid] Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence We ...

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team ... Present results, key insights and explain complex analysis in a simple manner to senior leaders ...

* Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive ... engineer, if you're passionate about GAI, we want to hear from you! Why Join Us? * Work on cutting ...

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Showing results 1-20

Senior Generative Ai Engineer information

See Edison, NJ salary details

$61.6K

$131K

$190K

How much do senior generative ai engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior generative ai engineer in Edison, NJ is $131,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $148,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are popular job titles related to Senior Generative Ai Engineer jobs in Edison, NJ?

For Senior Generative Ai Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Edison, NJ look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Senior Generative Ai Engineer jobs?

Cities near Edison, NJ with the most Senior Generative Ai Engineer job openings:

Infographic showing various Senior Generative Ai Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $131,018 per year, or $63 per hour.

Senior Generative AI Developer

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

About the Role
We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale.
This is a hands-on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.
Key Responsibilities
  • Design & Build GenAI Solutions: Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
  • Python Development: Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
  • Model Integration & Fine-tuning: Evaluate, integrate, and fine-tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain-specific financial use cases.
  • MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
  • Agentic Workflows: Design and implement multi-agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi-step operational workflows.
  • Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
  • Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
  • Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
  • Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade-offs and timelines.

Required Qualifications
  • Experience: 6+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.
  • Python: Expert-level Python proficiency - including async programming, API development (FastAPI, Flask), and software design patterns.
  • GenAI & LLM Stack:
    • Deep hands-on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
    • Hands on experience with Google Cloud AI Platform
    • Proven experience with RAG architectures, embedding pipelines, and vector search
    • Strong understanding of prompt engineering, few-shot learning, and chain-of-thought techniques
    • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
  • Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine-tuning (LoRA, PEFT), and inference optimization.
  • Cloud Platforms: Hands-on experience with at least one major cloud provider - AWS, Azure, or GCP - particularly managed AI/ML services.
  • Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).
  • Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.
  • Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications
  • Experience with multi-agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)
  • Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools
  • Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation
  • Exposure to Kafka, Spark, or Airflow for data pipeline engineering
  • Experience working in an Agile/SAFe delivery environment
  • Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline - or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)
Languages: Python (expert), SQL, Bash
GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel
LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI
Vector Databases: Pinecone, Weaviate, pgvector, Chroma
Cloud: AWS / Azure / GCP
MLOps: MLflow, Docker, Kubernetes, GitHub Actions
Data Engineering: Spark, Airflow, Kafka
Databases: PostgreSQL, MongoDB, Redis
Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Systems & Engineering
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & 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
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 14, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
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's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US