AI Solutions Engineer

Humanscale; Possumtown (NJ); On-site; USD 106,000 - 154,000; Full time

Benefits offered by this job

Competitive salary

Medical Benefits

HSAs/FDs

Pet Insurance

401k matching

Paid time off

Job summary

Humanscale is seeking a hands-on AI Solutions Engineer to identify, develop, and implement AI solutions that automate processes, improve efficiency, and support innovation across the organization. The role delivers prototypes and production-ready solutions for document processing, workflow automation, knowledge search, reporting, customer support, and predictive analytics.

Collaboration with IT, Security, and business units is essential, with onsite work in Piscataway, NJ at least three days per

Qualifications

• 2+ years of professional experience in software development, analytics, data engineering, AI, ML, automation, or related technical field.
• Hands-on experience building AI-powered applications using large language models, enterprise AI platforms, or cloud AI services.
• Experience with AI platforms and tools such as ChatGPT, Claude, Microsoft Copilot, Azure OpenAI, Azure AI Services, or similar technologies.
• 2+ years of programming experience in Python or other modern programming languages.

Responsibilities

• Research and document business use cases where AI can positively impact processes, workflows, and decision-making.
• Meet with stakeholders across departments to understand challenges and opportunities for automation or AI workflows.
• Analyze and prioritize AI initiatives based on value, feasibility, data readiness, user experience, security, and maintainability.
• Design, develop, test, deploy, and support AI-driven solutions and proofs-of-concept.
• Build prototypes, dashboards, and enterprise apps using AI tech and modern frameworks.
• Integrate AI solutions with ERP, CRM, and document management platforms.

Skills

Python

APIs

AI platforms

Streamlit

Power Automate

Azure OpenAI

Dataverse

RAG

LLM

Education

Bachelor's degree in AI/CS or related

Tools

Microsoft Copilot Studio

Azure OpenAI

Power Apps

Power Automate

Dataverse

Streamlit

Azure AI Services

Microsoft Graph

SharePoint

Teams

Job description

Company Overview

Humanscale is the premier designer and manufacturer of ergonomic products that improve health and comfort at work. We have a focus on sustainability with over 70% of our products currently certified as having a Net Positive impact on the environment. Our award-winning office products - seating, sit/stand desks, technology support and lighting - have led the industry in performance and simplicity for over 40 years.

Overview

Humanscale is seeking a hands-on, business-minded AI Solutions Engineer to identify, develop, and implement AI solutions that automate processes, improve efficiency, strengthen decision-making, and support innovation across the organization.

Working across business and technical teams, this role will deliver prototypes and production-ready solutions in areas such as document processing, workflow automation, knowledge search, reporting, customer support, and predictive analytics. Responsibilities include evaluating business opportunities, developing AI-enabled applications, integrating enterprise systems, improving data quality and governance, and supporting the responsible adoption of AI technologies across the business.

This is a full-time engineering role focused on building practical solutions that solve real business problems. You will work directly with stakeholders to identify opportunities, validate concepts, develop prototypes, and deploy scalable applications that drive measurable business value.

Responsibilities

• Research and document business use cases where AI can positively impact Humanscale's processes, workflows, and decision-making.
• Meet with stakeholders across departments to understand business challenges, repetitive tasks, and opportunities for automation or AI-assisted workflows.
• Analyze and prioritize AI initiatives based on business value, feasibility, data readiness, user experience, security, and long-term maintainability.
• Design, develop, test, deploy, and support AI-driven solutions and proof-of-concepts.
• Build prototypes, internal tools, dashboards, and enterprise applications using AI technologies and modern development frameworks.
• Support initiatives involving generative AI, intelligent search, retrieval-augmented generation (RAG), document understanding, workflow automation, virtual assistants, chatbots, and agent-based experiences.
• Develop solutions using Python, Streamlit, Microsoft Copilot Studio, Power Apps, Power Automate, Azure AI Services, Azure OpenAI, APIs, Microsoft Graph, SharePoint, Teams, Dataverse, and related technologies.
• Evaluate and compare AI platforms, tools, and technologies to determine their applicability to business use cases.
• Collaborate with IT, Security, Data Management, business users, and functional leaders to gather requirements and translate them into scalable technical solutions.
• Integrate AI solutions with enterprise systems such as ERP, CRM, document management, reporting, and workflow automation platforms.
• Analyze data, identify trends, and develop models that support operational improvements and business insights.
• Design evaluation frameworks, guardrails, and human-review processes that ensure trustworthy and effective AI outcomes.
• Drive data cleansing, data standardization, and data governance initiatives that improve AI effectiveness.
• Measure business outcomes including adoption, efficiency gains, quality improvements, error reduction, and user satisfaction.
• Test, debug, document, monitor, support, and continuously improve AI solutions throughout their lifecycle.
• Document technical designs, business cases, recommendations, pilot results, and implementation plans.
• Stay informed on emerging AI trends, technologies, frameworks, and industry best practices.
• Support responsible AI practices by considering privacy, security, governance, compliance, and ethical considerations in all solutions.
• Present findings, recommendations, and technical concepts clearly to audiences with varying levels of technical expertise.

Qualifications

• Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Information Systems, Engineering, Analytics, or a related field, or equivalent practical experience.
• 2+ years of professional experience in software development, analytics, data engineering, AI, machine learning, automation, or a related technical field.
• Hands-on experience building AI-powered applications using large language models, enterprise AI platforms, or cloud AI services.
• Experience working with AI platforms and tools such as ChatGPT, Claude, Microsoft Copilot, Azure OpenAI, Azure AI Services, or similar technologies.
• 2+ years of programming experience in Python or other modern programming languages.
• Strong technical foundation in APIs, JSON, structured data, SQL, databases, and common data formats such as CSV and Excel.
• Experience building applications, automations, integrations, or workflows using modern development frameworks and technologies.
• Experience integrating AI solutions with enterprise systems such as ERP, CRM, document management, workflow automation, or similar business platforms.
• Experience working with databases, reporting platforms, analytics solutions, or data engineering technologies.
• Experience with workflow automation tools such as Microsoft Power Automate, Power Apps, or similar platforms.
• Understanding of prompt engineering, retrieval and grounding techniques, model evaluation, hallucination risk, and human-in-the-loop review processes.
• Strong analytical, problem-solving, troubleshooting, and critical-thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently while collaborating effectively across business and technical teams.
• Ability to work onsite in Piscataway, NJ a minimum of three days per week.
• Authorization to work in the United States without current or future employment visa sponsorship.

PREFERRED QUALIFICATIONS

• Experience with Microsoft Copilot Studio, Dataverse, Azure AI Foundry, Azure OpenAI, or related Microsoft AI technologies.
• Experience with Streamlit, FastAPI, Flask, React, Git, GitHub, Azure DevOps, or modern software development practices.
• Experience with retrieval-augmented generation (RAG), vector search, embeddings, document intelligence, agent workflows, or structured-output pipelines.
• Experience with Microsoft 365, Teams, SharePoint, Microsoft Graph, Power BI, and enterprise identity concepts.
• Experience supporting manufacturing, customer care, finance, sales, operations, product development, or enterprise data initiatives.
• Relevant Microsoft, Azure, Power Platform, Data, or AI certifications.

COMPUTER SKILLS

• Knowledge of Microsoft Office Suite (Word, Excel, Outlook, PowerPoint, and Teams) to manage daily correspondence, create business documentation, analyze data, and support collaboration across the organization.

SHOW US WHAT YOU HAVE BUILT

We care about how you think and what you can create. Candidates are encouraged to include links to portfolios, GitHub repositories, project summaries, or examples of AI-related work.

Tell us:

• What problem were you solving.
• What you personally built or contributed.
• Which technologies and tools you selected.
• How you tested and evaluated the solution.
• What results you achieved and what you learned.

Professional work, internships, research, academic projects, open-source contributions, and independent projects are all valuable demonstrations of capability.

WHAT WE OFFER

• Competitive salary
• Medical Benefits (Medical, Dental, Vision)
  • HSA, FSA, Commuter Benefits
  • Medical Discounts
• Ancillary Benefits
  • Accident, Critical Illness, Hospital Insurance
  • Voluntary, Spouse, and Child Life Insurance
• Pet Insurance
• Employee Discount Programs
• 401k matching
• Paid time off (including 15 PTO days and 11 holidays)

Salary Range: $105,541 - $153,943

Please note that the salary information is a general guideline. Humanscale considers other factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market location and business considerations when extending an offer.

Humanscale is an Equal Opportunity Employer (Disabled/Veteran)