1

Online Generative Ai Engineer Jobs in Springfield, MA

... time inference (online/offline consistency, caching, latency SLOs, backfills). A successful ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

... Generative AI, Large Language Models (LLMs), AI agents, machine learning platforms, autonomous ... Partner with technology, architecture, engineering, legal, privacy, procurement, and business ...

New

Showing results 21-40

Online Generative Ai Engineer information

See Springfield, MA salary details

$37.9K

$115.5K

$190.8K

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

As of Aug 22, 2026, the average yearly pay for online generative ai engineer in Springfield, MA is $115,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $151,000.00 per year, depending on experience, location, and employer.

What is an online generative AI engineer?

An Online Generative AI Engineer is a specialized software engineer who designs, develops, and deploys artificial intelligence (AI) models that generate new content, such as text, images, or audio, through online platforms or cloud services. They work with cutting-edge generative models like GPT, DALL-E, or diffusion models, and are responsible for integrating these technologies into web applications or online services. Their role often includes building scalable APIs, optimizing models for real-time usage, and ensuring responsible and ethical AI deployment. These engineers typically collaborate with data scientists, product managers, and UX/UI designers to deliver innovative AI-powered user experiences.

How does an online generative AI engineer typically collaborate with cross-functional teams during model development and deployment?

As an Online Generative AI Engineer, you will regularly work with data scientists, product managers, and software engineers to design, train, and deploy AI models. Collaboration often involves participating in sprint meetings, discussing data requirements, integrating models into production systems, and troubleshooting deployment issues. Effective communication is essential, as you'll need to translate complex model behaviors into actionable insights for non-technical stakeholders, and work closely with DevOps teams to ensure reliable and scalable deployment of generative AI solutions.

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

To thrive as an Online Generative AI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with generative models such as GANs or transformers are typically required. Strong problem-solving abilities, creativity, and effective communication skills help engineers design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are vital for building robust AI systems that meet user needs and drive technological advancement.

What is the difference between Online Generative Ai Engineer vs Data Scientist?

AspectOnline Generative Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and AI frameworksDegree in Statistics, Data Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness analytics, research, and data analysis teams; focus on data interpretation and insights
Employer & Industry UsagePrimarily in AI development, tech industry, and research institutionsAcross industries like finance, healthcare, marketing, and tech for data-driven decision making

Online Generative Ai Engineers focus on creating and optimizing AI models that generate content, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their primary functions differ in application and industry focus.

What are the most commonly searched types of Generative Ai Engineer jobs in Springfield, MA?

The most popular types of Generative Ai Engineer jobs in Springfield, MA are:

What are popular job titles related to Online Generative Ai Engineer jobs in Springfield, MA?

For Online Generative Ai Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Online Generative Ai Engineer jobs in Springfield, MA look for?

The top searched job categories for Online Generative Ai Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Online Generative Ai Engineer jobs?

Cities near Springfield, MA with the most Online Generative Ai Engineer job openings:

Infographic showing various Online Generative Ai Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 62% Full Time, 34% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $115,459 per year, or $55.5 per hour.

AI Design Facilitator and Forward-Deployed Engineer II

Deloitte

Hartford, CT • On-site

$130K - $156K/yr

Full-time

Re-posted 14 hours ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

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 $82,600 to $162,800. 

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.

#Customer_US

#AMC_US

Qualifications:

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

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 $82,600 to $162,800. 

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.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom