AI Agent Builder

Job Description

We are seeking an AI Agent Builder (Copilot Studio) — Marketing Automation to design, build, and scale AI agents that automate how we deliver SEO and paid media services. You’ll help modernize marketing operations by turning complex, manual work into reliable agent-driven workflows—so our teams can move faster and our clients can see results sooner. 

This role is hands-on: you will translate Sosemo’s 14 years of methodologies, process flows, training guides, and sample deliverables into repeatable, governed agentic systems used daily by our Client Services team—supporting everything from keyword research and technical audits to ad copy development, reporting, and insight generation. 

This is an individual contributor (IC) role with high ownership and visibility. You will partner closely with strategists, analysts, and account teams, but you will not be expected to manage direct reports. 

Along with a competitive salary (salary range: $82,500 - $95,000) and benefits, you’ll work with a team that values ownership, innovation, and practical AI adoption that improves real outcomes. 

Duties & Responsibilities: 

• Build autonomous and human-in-the-loop agents in Microsoft Copilot Studio to automate repetitive, high-volume marketing operations work (keyword research, technical audits, metadata, content optimization support, ad copy variants, pacing/monitoring, reporting). 

• Design reusable, goal-oriented prompt frameworks and prompt libraries that enforce brand voice, SEO best practices, and output consistency. 

• Connect agents to data sources and marketing platforms (e.g., Google Ads, Meta Ads Manager, GA4, Search Console, SEO tooling) using APIs and approved connectors. 

• Map current agency workflows end-to-end, identify manual bottlenecks, and replace steps with agentic automation to increase speed, quality, and scalability. 

• Operationalize Sosemo’s internal IP by converting playbooks, templates, and training materials into structured agent instructions, guardrails, and checklists. 

• Implement governance: QA workflows, approval checkpoints, logging/monitoring, and clear escalation paths for edge cases and brand-risk scenarios. 

• Partner with Client Services to gather requirements, maintain a prioritized build backlog, and measure impact (time saved, error reduction, output quality, delivery speed). 

• Enable adoption through training sessions, internal documentation/playbooks, and ongoing iteration based on user feedback and performance. 

What You’ll Build (First 90 Days): 

• Audit 5–10 core Client Services workflows and identify the highest-ROI automation opportunities across SEO and paid media operations. 

• Ship an initial set of production-ready Copilot Studio agents (e.g., keyword clustering + brief drafting, technical audit triage, weekly performance reporting + insight generation). 

• Stand up lightweight governance you own: QA checklists, approval paths, and a shared prompt/agent library so outputs are consistent and brand-safe. 

• Integrate at least one agent workflow directly with a marketing platform (Google Ads and/or Meta) or a reporting data source. 

Qualifications

• 4-year college degree in marketing, computer science, information systems, or a related field (or equivalent practical experience). 

• Expert-level capability in Microsoft Copilot Studio (building, testing, deploying, and iterating agents). 

• Experience with no-code/low-code automation (e.g., Microsoft Power Platform, Zapier, Make) and comfort working with APIs/webhooks. 

• Working knowledge of SEO workflows and deliverables (keyword research, technical audits, on-page optimization, content support); paid media experience (Google Ads and/or Meta) strongly preferred. 

• Strong prompt engineering skills for structured outputs (analysis, QA, brief generation, reporting narratives) with an emphasis on repeatability and quality. 

• Ability to translate business requirements into technical workflows, test cases, and production-ready agent behavior. 

• Clear communication skills—able to train teammates, write documentation, and influence adoption across a service organization. 

• Nice to have: prior agency experience; experience integrating automations directly into ad platforms or analytics/reporting stacks. 

Additional Information

Interview Process: 

As part of the interview process, shortlisted candidates will complete a practical build exercise: develop an AI agent based on basic requirements provided by the hiring team. We’re looking for strong build judgment, workflow design, and output quality—not just a demo. 

Additional Information: 

Candidates must be legally authorized to work in the U.S.; visa sponsorship is not available.

Our office is located at 26 Broadway, NYC, with access to common areas, a podcast studio, and stocked snacks and coffee.

Please submit a cover letter with your resume to be considered for this position.

Compensation: 82500 to 95000 (USD) (YEARLY)