

Intelliswift Software
AI Implementation Strategist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Implementation Strategist with a 6-month contract, paying "pay rate". It is hybrid in "location". Key skills include AI solution building, prompt engineering, and structured data file creation. Experience with Python and agent frameworks is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
760
-
🗓️ - Date
June 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#Python #Deployment #Automation #CLI (Command-Line Interface) #JSON (JavaScript Object Notation) #Documentation #YAML (YAML Ain't Markup Language) #AI (Artificial Intelligence)
Role description
Job Title: AI Implementations Specialist - Product Operations
Location: Hybrid onsite at Menlo Park, CA, Seattle, WA, New York, NY or Washington, DC
Duration: 6 months contract (high likelihood of extension)
We are seeking an AI Implementations Specialist to build AI-driven solutions, develop agent skills, create structured context files, and enable skill orchestration across workflows.
In this role, you will design and build AI skills, develop context files that power agent capabilities, and configure orchestration flows that chain skills into end-to-end solutions. Your success is measured by the quality, reliability, and adoptability of the AI solutions you deliver.
Responsibilities:
Skill Development: Build and maintain AI agent skills , self-contained modules that perform specific tasks within orchestrated workflows.
AI Solution Building: Design and develop AI-powered solutions that automate operational workflows, from requirements through deployment.
Context File Development: Create and maintain structured context files that enable AI agents to operate with accurate, up-to-date information.
Skill Orchestration: Configure and enable multi-skill orchestration, chaining skills together to solve complex, multi-step problems.
Testing & Validation: Test skills and solutions against defined acceptance criteria, iterating until performance and reliability targets are met.
Documentation: Document skill capabilities, context file schemas, and orchestration patterns for team adoption.
Collaboration: Partner with stakeholders to identify automation opportunities and translate operational needs into AI skill requirements.
Required Qualifications:
• Experience building AI solutions, automations, or agent-based workflows
• Experience with prompt engineering and LLM-based systems
• Ability to create and maintain structured data files (JSON, YAML, Markdown)
• Ability to manage multiple concurrent build requests, prioritizing based on impact
• Clear communication skills for documenting solutions and collaborating with cross-functional teams
• Self-directed with the ability to ramp quickly through structured onboarding
• Strong problem-solving skills with a build-oriented mindset
Preferred Qualifications:
• Experience with Python
• Experience with AI agent frameworks or skill orchestration platforms
• Familiarity with CLI tools and terminal-based workflows
Job Title: AI Implementations Specialist - Product Operations
Location: Hybrid onsite at Menlo Park, CA, Seattle, WA, New York, NY or Washington, DC
Duration: 6 months contract (high likelihood of extension)
We are seeking an AI Implementations Specialist to build AI-driven solutions, develop agent skills, create structured context files, and enable skill orchestration across workflows.
In this role, you will design and build AI skills, develop context files that power agent capabilities, and configure orchestration flows that chain skills into end-to-end solutions. Your success is measured by the quality, reliability, and adoptability of the AI solutions you deliver.
Responsibilities:
Skill Development: Build and maintain AI agent skills , self-contained modules that perform specific tasks within orchestrated workflows.
AI Solution Building: Design and develop AI-powered solutions that automate operational workflows, from requirements through deployment.
Context File Development: Create and maintain structured context files that enable AI agents to operate with accurate, up-to-date information.
Skill Orchestration: Configure and enable multi-skill orchestration, chaining skills together to solve complex, multi-step problems.
Testing & Validation: Test skills and solutions against defined acceptance criteria, iterating until performance and reliability targets are met.
Documentation: Document skill capabilities, context file schemas, and orchestration patterns for team adoption.
Collaboration: Partner with stakeholders to identify automation opportunities and translate operational needs into AI skill requirements.
Required Qualifications:
• Experience building AI solutions, automations, or agent-based workflows
• Experience with prompt engineering and LLM-based systems
• Ability to create and maintain structured data files (JSON, YAML, Markdown)
• Ability to manage multiple concurrent build requests, prioritizing based on impact
• Clear communication skills for documenting solutions and collaborating with cross-functional teams
• Self-directed with the ability to ramp quickly through structured onboarding
• Strong problem-solving skills with a build-oriented mindset
Preferred Qualifications:
• Experience with Python
• Experience with AI agent frameworks or skill orchestration platforms
• Familiarity with CLI tools and terminal-based workflows






