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Senior Generative Ai Engineer Jobs (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

New York, NY · On-site

$114K - $157K/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 ...

Belva Inc

Director of AI

Dallas, TX · On-site

Hire, mentor, and manage a small team of senior generative AI engineers (Expected team size: 2-5) * Partner closely with Product Management and Project Management to balance new feature delivery ...

Data Capital Inc

Senior AI Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Job Summary Seeking a Senior AI Engineer with strong expertise in Generative AI, AWS cloud services, and data platform engineering to build and scale production-grade AI solutions. The role focuses ...

Belva Inc

Director of AI

Hire, mentor, and manage a small team of senior generative AI engineers (Expected team size: 2-5) * Partner closely with Product Management and Project Management to balance new feature delivery ...

Texnere Americas Inc

AI/ML Lead

Dallas, TX · On-site

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 ...

Kanshe Infotech

Senior AI/ML Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Senior AI/ML Engineer - GenAI & Cloud Solutions Location: Woodland Hills, CA (Onsite) Job Type ... Design and build scalable AI/ML and Generative AI solutions * Develop Agentic AI applications using ...

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All JobsSenior Generative Ai Engineer Jobs

Senior Generative Ai Engineer information

See salary details

$59.5K

$126.6K

$183.5K

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

As of Jun 23, 2026, the average yearly pay for senior generative ai engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Senior Generative AI Engineers or AI Directors that offer compensation in this range, often including base salary, bonuses, and stock options. These positions usually require advanced expertise in machine learning, deep learning, and experience with large language models or generative AI tools, along with a strong track record of innovation and leadership in AI development.

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 is the salary of senior Generative AI developer?

The salary of a senior Generative AI engineer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Professionals with expertise in machine learning frameworks, deep learning, and large language models tend to earn at the higher end of this range.

What engineers make 500,000?

Senior Generative AI Engineers can earn $500,000 or more annually, especially those with advanced skills in machine learning, deep learning, and experience with large language models. Compensation often includes base salary, bonuses, and stock options, particularly in high-growth tech companies or startups focused on AI development.

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.

Which 3 jobs will survive AI?

For a Senior Generative AI Engineer, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research scientist, data scientist, and AI ethics specialist. These positions involve tasks that are difficult to fully automate and often require specialized expertise, critical thinking, and domain knowledge. Skills in machine learning, programming, and understanding of ethical considerations are essential for these roles to remain relevant as AI advances.
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Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Staff Generative AI Engineer - VP

Senior Staff Generative AI Engineer - VP

Citigroup, Inc.

New York, NY

$196K - $253K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Senior Staff Generative AI Engineer - VP
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.
The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise.
The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.
This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:
  • Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.

  • Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.

  • Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.

  • Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.

  • Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.

  • Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.

  • Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.

  • Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.

  • Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.

Minimum Qualifications:
  • 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.

  • Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.

  • Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).

  • Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.

  • Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.

  • Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.

  • Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.

Preferred Qualifications (Bonus Points):
  • Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.

  • Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.

  • Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.

  • Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.

  • Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.

  • A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.

Why You'll Love Working Here:
  • Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.

  • Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.

  • Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.

  • Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.

  • Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).

  • Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.

Join us to build the future of intelligent enterprise solutions!
Job Family Group:
Technology
Job Family:
Applications Development
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:
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.

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