AI Transformation Engineer

TeamPlus; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

TeamPlus Staffing Solution Pvt Ltd in the United States seeks an experienced AI Engineer to design, build, and maintain AI-powered skills, plugins, and agentic workflows for enterprise use.

You will troubleshoot workflow failures, manage AI configurations, support prompt engineering, and integrate tools across Anthropic and Microsoft environments while collaborating with cross-functional teams to solve real business problems.

Qualifications

• Experience with enterprise AI deployments
• Ability to design scalable AI workflows
• Familiarity with model access controls and rate limits

Responsibilities

• Design, build, and maintain AI-powered skills, plugins, and agentic workflows
• Troubleshoot workflow failures, system issues, and user challenges to ensure reliability and performance
• Manage AI system configurations including model access, rate limits, usage policies, and team settings
• Support prompt engineering initiatives by creating robust system prompts and instructions for real-world usage
• Integrate and connect tools across multiple ecosystems (including Anthropic and Microsoft environments)
• Collaborate with cross-functional teams to identify use cases and implement practical AI solutions
• Advise stakeholders on AI tool selection and best-fit solutions for specific business problems

Skills

AI system design

Prompt engineering

Tool integration

Cross-functional collaboration

Job description

Years of Experience 5–8 Years

Job Role & Responsibility Design, build, and maintain AI-powered skills, plugins, and agentic workflows

for enterprise use
Troubleshoot workflow failures, system issues, and user challenges to ensure
reliability and performance
Manage AI system configurations including model access, rate limits, usage
policies, and team settings
Support prompt engineering initiatives by creating robust system prompts and
instructions for real-world usage
Integrate and connect tools across multiple ecosystems (including Anthropic
and Microsoft environments)
Collaborate with cross-functional teams to identify use cases and implement
practical AI solutions
Advise stakeholders on AI tool selection and best-fit solutions for specific

business problems