Job Description
Location: Remote (North America preferred)
Engagement: Contract — April 2026 to February 2027 (full-time)
About the Opportunity
We are building a specialized team focused on AI-driven workflow transformation and automation across business operations.
Our work involves partnering with organizations to:
Understand how their teams operate today
Identify inefficiencies and manual processes
Design and implement AI-powered systems that improve speed, decision-making, and scalability
We are looking for a senior, hands-on operator who is equally comfortable leading a client discovery session and engineering the prompt logic that powers a production AI workflow.
The Role
This is a hybrid role at the intersection of client consulting, AI engineering, and solution design.
You will work directly in client-facing engagements — leading discovery, building trust, and translating real-world business problems into AI solutions. You will also get your hands dirty: writing and refining the LLM prompts, system instructions, and agentic workflows that make those solutions actually work.
This role is for someone who can hold a boardroom conversation in the morning and ship a working prototype in the afternoon.
What You'll Do1. Lead Client Discovery & Relationship Management
Own and lead structured discovery sessions with client stakeholders
Build credibility and rapport with business and operations leads
Analyze workflows across sales, finance, operations, and internal processes
Identify inefficiencies, bottlenecks, and automation opportunities
Serve as a trusted point of contact throughout the engagement lifecycle
2. Design & Engineer AI Solutions
Translate business challenges into clear, actionable AI use cases
Write, test, and iterate on LLM prompts and system instructions — not just describe them, but build them
Design multi-step agentic workflows and AI-assisted decision systems
Recommend appropriate platforms, models, and integration patterns
3. Rapid Prototyping
Build fast, lightweight prototypes to validate concepts with clients
Use APIs, no-code/low-code platforms, and LLMs to turn ideas into working demos quickly
Strong bias toward showing, not telling
4. Bridge Business and Technical Teams
Translate technical outputs into clear business outcomes
Support implementation planning, documentation, and handoff
Collaborate with internal delivery teams and external client stakeholders
What We're Looking ForCore Background
5+ years in roles such as:
AI/Solutions Consultant or Architect
Technical Account Manager or Client Success Lead (with hands-on AI experience)
Automation Engineer with client-facing responsibilities
Startup CTO or Technical Co-founder in an AI/SaaS context
Demonstrated experience managing client relationships — not just internal stakeholders
Prompt Engineering & LLM Proficiency
Deep, practical experience writing and refining prompts for production use cases
Familiarity with system prompt design, chain-of-thought techniques, and output formatting
Experience building agentic workflows or multi-step LLM pipelines
Hands-on experience with OpenAI, Anthropic Claude, or comparable models
Technical Capabilities
APIs and system integrations
Data flow and process design
Automation platforms (e.g., Make, Zapier, n8n)
Comfort working across structured and unstructured data
Client Management & Communication
Can independently lead discovery workshops and stakeholder sessions
Builds trust quickly — especially with skeptical or non-technical buyers
Translates complexity into clarity for executive audiences
Strong written communication for proposals, documentation, and async client updates
Business & Operational Thinking
Understands how businesses actually run across functions
Identifies ROI-driven opportunities, not just technically interesting ones
Thinks in workflows and outcomes, not isolated features
Nice to Have
Experience in a consulting or professional services environment
Exposure to CRM, ERP, or internal operations systems
Examples of deployed AI workflows (not just POCs)
Engagement Details
Full-time contract: April 2026 – February 2027
Remote, North America preferred
Compensation: TBD based on experience
What Makes This Interesting
Work on real-world AI transformation problems across diverse industries
High ownership — you shape the solution, not just implement a spec
Direct client impact from day one
A team that builds things, not decks
How to Apply
Please include:
Summary of relevant experience in client management and AI/automation
Examples of LLM prompts, agentic workflows, or AI solutions you've designed and built
Tools and platforms you work with regularly
Any demos, prototypes, or deployed examples (strongly preferred)
Job Type: Fixed term contract
Contract length: 11 months
Pay: $85,297.89-$145,000.00 per year
Work Location: Remote
Engagement: Contract — April 2026 to February 2027 (full-time)
About the Opportunity
We are building a specialized team focused on AI-driven workflow transformation and automation across business operations.
Our work involves partnering with organizations to:
Understand how their teams operate today
Identify inefficiencies and manual processes
Design and implement AI-powered systems that improve speed, decision-making, and scalability
We are looking for a senior, hands-on operator who is equally comfortable leading a client discovery session and engineering the prompt logic that powers a production AI workflow.
The Role
This is a hybrid role at the intersection of client consulting, AI engineering, and solution design.
You will work directly in client-facing engagements — leading discovery, building trust, and translating real-world business problems into AI solutions. You will also get your hands dirty: writing and refining the LLM prompts, system instructions, and agentic workflows that make those solutions actually work.
This role is for someone who can hold a boardroom conversation in the morning and ship a working prototype in the afternoon.
What You'll Do1. Lead Client Discovery & Relationship Management
Own and lead structured discovery sessions with client stakeholders
Build credibility and rapport with business and operations leads
Analyze workflows across sales, finance, operations, and internal processes
Identify inefficiencies, bottlenecks, and automation opportunities
Serve as a trusted point of contact throughout the engagement lifecycle
2. Design & Engineer AI Solutions
Translate business challenges into clear, actionable AI use cases
Write, test, and iterate on LLM prompts and system instructions — not just describe them, but build them
Design multi-step agentic workflows and AI-assisted decision systems
Recommend appropriate platforms, models, and integration patterns
3. Rapid Prototyping
Build fast, lightweight prototypes to validate concepts with clients
Use APIs, no-code/low-code platforms, and LLMs to turn ideas into working demos quickly
Strong bias toward showing, not telling
4. Bridge Business and Technical Teams
Translate technical outputs into clear business outcomes
Support implementation planning, documentation, and handoff
Collaborate with internal delivery teams and external client stakeholders
What We're Looking ForCore Background
5+ years in roles such as:
AI/Solutions Consultant or Architect
Technical Account Manager or Client Success Lead (with hands-on AI experience)
Automation Engineer with client-facing responsibilities
Startup CTO or Technical Co-founder in an AI/SaaS context
Demonstrated experience managing client relationships — not just internal stakeholders
Prompt Engineering & LLM Proficiency
Deep, practical experience writing and refining prompts for production use cases
Familiarity with system prompt design, chain-of-thought techniques, and output formatting
Experience building agentic workflows or multi-step LLM pipelines
Hands-on experience with OpenAI, Anthropic Claude, or comparable models
Technical Capabilities
APIs and system integrations
Data flow and process design
Automation platforms (e.g., Make, Zapier, n8n)
Comfort working across structured and unstructured data
Client Management & Communication
Can independently lead discovery workshops and stakeholder sessions
Builds trust quickly — especially with skeptical or non-technical buyers
Translates complexity into clarity for executive audiences
Strong written communication for proposals, documentation, and async client updates
Business & Operational Thinking
Understands how businesses actually run across functions
Identifies ROI-driven opportunities, not just technically interesting ones
Thinks in workflows and outcomes, not isolated features
Nice to Have
Experience in a consulting or professional services environment
Exposure to CRM, ERP, or internal operations systems
Examples of deployed AI workflows (not just POCs)
Engagement Details
Full-time contract: April 2026 – February 2027
Remote, North America preferred
Compensation: TBD based on experience
What Makes This Interesting
Work on real-world AI transformation problems across diverse industries
High ownership — you shape the solution, not just implement a spec
Direct client impact from day one
A team that builds things, not decks
How to Apply
Please include:
Summary of relevant experience in client management and AI/automation
Examples of LLM prompts, agentic workflows, or AI solutions you've designed and built
Tools and platforms you work with regularly
Any demos, prototypes, or deployed examples (strongly preferred)
Job Type: Fixed term contract
Contract length: 11 months
Pay: $85,297.89-$145,000.00 per year
Work Location: Remote
💡 Quick Summary
Seeking a career-building opportunity? The AI Solutions Architect / Client Engagement Lead position is now open for candidates interested in the Operations Executive Jobs sector. This role in St. Columban offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Operations Executive Jobs is a plus.
