AI Engineer
Hartford, CT · On-site
... execute visualization, analysis, and predictive modeling with senior support. • Identify data ... architecture and NLP systems • Familiarity with CI/CD and MLOps practices Company : Infosys is a ...
AI Engineer
Hartford, CT · On-site
... execute visualization, analysis, and predictive modeling with senior support. • Identify data ... architecture and NLP systems • Familiarity with CI/CD and MLOps practices Company : Infosys is a ...
AI Engineer
Hartford, CT · On-site
... execute visualization, analysis, and predictive modeling with senior support. • Identify data ... architecture and NLP systems • Familiarity with CI/CD and MLOps practices Company : Infosys is a ...
AI Engineer
Hartford, CT · On-site
... execute visualization, analysis, and predictive modeling with senior support. • Identify data ... architecture and NLP systems • Familiarity with CI/CD and MLOps practices Company : Infosys is a ...
Ignition scripting and visualization * Software Defined Network (SDN) requirements and ... Data/Communication driver creation and maintenance * Performance board and HMI screen ...
Ignition scripting and visualization * Software Defined Network (SDN) requirements and ... Data/Communication driver creation and maintenance * Performance board and HMI screen ...
Ignition scripting and visualization * Software Defined Network (SDN) requirements and ... Data/Communication driver creation and maintenance * Performance board and HMI screen ...
Ignition scripting and visualization * Software Defined Network (SDN) requirements and ... Data/Communication driver creation and maintenance * Performance board and HMI screen ...
Data Visualization Architect information
See Springfield, MA salary details
$10.78 - $18.34
1% of jobs
$18.34 - $25.89
0% of jobs
$25.89 - $33.45
0% of jobs
$33.45 - $41.01
1% of jobs
$41.01 - $48.56
3% of jobs
$48.56 - $56.12
9% of jobs
$60.72 is the 25th percentile. Wages below this are outliers.
$56.12 - $63.68
17% of jobs
The median wage is $69.97 / hr.
$63.68 - $71.23
22% of jobs
$77.35 is the 75th percentile. Wages above this are outliers.
$71.23 - $78.79
26% of jobs
$78.79 - $86.34
14% of jobs
$86.34 - $93.90
6% of jobs
$10
$69
$93
How much do data visualization architect jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for data visualization architect in Springfield, MA is $69.73, according to ZipRecruiter salary data. Most workers in this role earn between $61.11 and $78.56 per hour, depending on experience, location, and employer.
What is the highest paid type of architect?
In general, architecture roles in specialized fields such as software architecture, enterprise architecture, or data architecture tend to have higher salaries compared to traditional building architects. Data Visualization Architects, a niche role combining data analysis and visual design, can command high compensation, especially with expertise in tools like Tableau or Power BI and relevant certifications. Salaries vary based on industry, experience, and location, but technical and strategic architecture roles typically earn the most.
How much do architectural visualizers make?
Architectural visualizers typically earn between $50,000 and $80,000 annually, depending on experience, location, and skill level. Professionals skilled in 3D modeling, rendering software, and architectural concepts tend to have higher earning potential.
What is a visualization architect?
A visualization architect is a professional responsible for designing and developing complex data visualizations and dashboards to help organizations interpret large datasets. They often work with tools like Tableau, Power BI, or D3.js and require skills in data analysis, design, and programming to create effective visual communication solutions.
What are the typical challenges faced by a Data Visualization Architect when working with cross-functional teams?
As a Data Visualization Architect, you'll often collaborate with data scientists, business analysts, and software engineers to translate complex data into clear, actionable insights. One common challenge is aligning the diverse expectations and requirements from various stakeholders while ensuring visualizations remain both accurate and accessible. Balancing technical feasibility with user experience, and managing feedback loops, requires strong communication and project management skills. Successfully navigating these challenges not only improves project outcomes but also builds your credibility as a data visualization expert within the organization.
Are data architects in high demand?
Data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in data modeling, database design, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.
What is the difference between Data Visualization Architect vs Data Analyst?
| Aspect | Data Visualization Architect | Data Analyst |
|---|---|---|
| Credentials | Bachelor's or higher in Data Science, Computer Science, or related fields; certifications in data visualization tools | Bachelor's in Statistics, Data Science, or related fields; often certifications in analytics tools |
| Work Environment | Designs complex visual systems, collaborates with data engineers and designers | Analyzes data sets, creates reports, and provides insights |
| Industry Usage | Used in organizations requiring advanced data visualization solutions | Common across industries for data analysis and reporting |
The Data Visualization Architect focuses on designing and implementing advanced visual systems to represent complex data, often working closely with data engineers and designers. In contrast, Data Analysts primarily analyze data sets to generate reports and insights. While both roles require knowledge of visualization tools, the architect role emphasizes system design and integration, whereas the analyst role centers on data interpretation and reporting.
What are the key skills and qualifications needed to thrive as a Data Visualization Architect, and why are they important?
To thrive as a Data Visualization Architect, you need expertise in data analysis, visual design principles, and proficiency in database querying, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and SQL, as well as certifications in relevant platforms, is highly valued. Strong communication, critical thinking, and the ability to translate complex data into actionable insights set outstanding professionals apart in this role. These skills and qualities are crucial for building effective visualizations that drive informed decision-making and clearly communicate data-driven stories to stakeholders.
What is a Data Visualization Architect?
A Data Visualization Architect is a professional who designs and develops data visualization solutions to help organizations interpret complex data. They work closely with data analysts, business stakeholders, and IT teams to create dashboards, reports, and interactive graphics that make data insights accessible and actionable. Their responsibilities include selecting appropriate visualization tools, establishing best practices, ensuring data accuracy, and optimizing user experience. Data Visualization Architects play a crucial role in transforming raw data into meaningful visual stories that support business decision-making.
What are popular job titles related to Data Visualization Architect jobs in Springfield, MA? For Data Visualization Architect jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Data Visualization Architect jobs? Cities near Springfield, MA with the most Data Visualization Architect job openings:
Infosys rating
7.4
Based on 60 frontline employees who took The Breakroom Quiz
107th of 210 rated it services
Job description
Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking an AI Engineer to join their Data and Analytics unit. The role involves participating in data extraction and model development, collaborating with teams to operationalize analytics tools, and ensuring data quality and performance optimization.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong programming skills in Python
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
• Expertise in Generative AI, including: RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
• Proficiency with Microsoft Azure AI ecosystem
• Experience with Databricks (Lakehouse, ML workflows)
• Strong understanding of Snowflake and Data Cloud architectures
• Knowledge of Conversational AI architecture and NLP systems
• Familiarity with CI/CD and MLOps practices
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.
Infosys is a global leader in next-generation digital services and consulting, and they are seeking an AI Engineer to join their Data and Analytics unit. The role involves participating in data extraction and model development, collaborating with teams to operationalize analytics tools, and ensuring data quality and performance optimization.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong programming skills in Python
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
• Expertise in Generative AI, including: RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
• Proficiency with Microsoft Azure AI ecosystem
• Experience with Databricks (Lakehouse, ML workflows)
• Strong understanding of Snowflake and Data Cloud architectures
• Knowledge of Conversational AI architecture and NLP systems
• Familiarity with CI/CD and MLOps practices
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.
About Infosys
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Bengaluru, KA, IN