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Ai In Business Jobs in Springfield, MA (NOW HIRING)

ERP AI Engineer - Manager

Hartford, CT ยท On-site

$99K - $232K/yr

With your growing knowledge of how business works, you play an important role in identifying ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Business Data Analyst

Hartford, CT ยท Hybrid

$80K - $120K/yr

What's in it for you? * Accountable partner for domainlevel data products from intake adoption ... Use GenAI for mapping, profiling, BRD acceleration and Validate AI outputs with domain judgment ...

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

This individual will act as the central point of coordination across business, technology, legal, and risk, supporting the AI Governance Board and AI Delivery Board. This position is an in-office ...

What We Look For In a Business Calculus Tutor * Advanced Subject Mastery: Deep knowledge of limits ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Business Calculus Tutor * Advanced Subject Mastery: Deep knowledge of limits ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Infosys is a global leader in next-generation digital services and consulting, dedicated to helping clients achieve their business goals through cutting-edge technology. The AI Architect role ...

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Showing results 1-20

Ai In Business information

See Springfield, MA salary details

$27.9K

$84.9K

$178.4K

How much do ai in business jobs pay per year?

As of Jun 17, 2026, the average yearly pay for ai in business in Springfield, MA is $84,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $111,100.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI in business will likely impact roles involving routine tasks, but jobs requiring complex problem-solving, emotional intelligence, and creativity are more resilient. For example, roles like management consultants, data analysts with advanced interpretation skills, and strategic planners are expected to persist due to their reliance on human judgment and nuanced understanding. Developing skills in critical thinking, communication, and AI tool management can enhance job security in these areas.

What job makes $10,000 a month without a degree?

In the field of AI in business, roles such as AI consultant, data scientist, or machine learning engineer can potentially earn $10,000 or more per month with relevant skills and experience, often gained through self-education, online courses, or certifications rather than a traditional degree. Success in these roles depends on expertise in programming, data analysis, and AI tools, along with a strong portfolio or proven results.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and significant expertise, and they tend to be found in large tech companies or specialized AI firms with competitive compensation packages.

What jobs pay 2000 a day?

High-paying jobs related to AI in business, such as AI consultants, data scientists, or machine learning engineers, can sometimes earn around $2,000 per day, especially with specialized skills, certifications, and experience. These roles often require advanced knowledge of AI tools, programming, and business applications, and may involve consulting or project-based work.

What is the difference between Ai In Business vs Data Analyst?

AspectAi In BusinessData Analyst
Required CredentialsDegree in Business, Data Science, or related fields; knowledge of AI toolsDegree in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentBusiness settings, tech companies, consulting firmsCorporate offices, research institutions, finance, marketing
Employer & Industry UsageUtilized by companies integrating AI into business processesUsed across industries for interpreting data and generating reports
Common Search & Comparison IntentUnderstanding AI's role in business decision-makingAnalyzing data to inform business strategies

Ai In Business professionals focus on applying AI technologies to improve business operations, while Data Analysts interpret data to support decision-making. Both roles require analytical skills, but Ai In Business emphasizes AI integration and strategic implementation, whereas Data Analysts concentrate on data processing and reporting.

What job categories do people searching Ai In Business jobs in Springfield, MA look for? The top searched job categories for Ai In Business jobs in Springfield, MA are:
Infographic showing various Ai In Business job openings in Springfield, MA as of June 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,880 per year, or $40.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hartford, CT โ€ข Remote

Other

Posted 25 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.