MCP Solutions Architect

Sightly Enterprises, Inc.; New York (NY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Distributed engineering team

Tech stipend

Job summary

Sightly is a remote-friendly technology company pioneering real-time brand intelligence and AI-enabled workflows. As MCP Solutions Architect, you will translate client use cases into MCP workflows, onboard clients, and collaborate with Product, AI Engineering, and Data teams to enhance MCP tools and integrations.

This is a technical, client-facing role that requires comfort discussing AI agents, schemas, and logs with engineers and leaders, while also testing tools and debugging issues.

Qualifications

• Strong understanding of MCP and how it differs from a traditional API.
• Hands-on experience with Claude, OpenAI, or similar LLM platforms.
• Familiarity with AI agents, tool calling, prompts, context windows, and structured outputs.
• Ability to understand tool schemas, parameters, logs, and common integration issues.
• Comfortable reading Python or backend code well enough to trace issues.
• Strong communication skills with both technical and non-technical audiences.
• Ability to turn vague client requests into clear workflows and implementation steps.

Responsibilities

• Help clients understand how to use Sightly’s MCP in their AI workflows.
• Translate client needs into clear MCP use cases and agent workflows.
• Support demos, pilots, onboarding, and technical discovery.
• Work with Product and Engineering to define new MCP tools and improvements.
• Troubleshoot tool call issues, integration problems, and unexpected agent behavior.
• Create documentation, examples, and best practices for clients.
• Act as the bridge between client technical teams and Sightly’s internal teams.

Skills

MCP knowledge

Claude/OpenAI experience

AI agents

Tool schemas

Python basics

Communication

Workflow design

Tools

LangChain

LangGraph

Vercel AI SDK

CrewAI

FastAPI

FastMCP

SQL

Snowflake

Vector databases

Embeddings

Docker

Job description

Sightly is a growing technology company leading the revolution in real-time marketing and brand intelligence. Join us as we pursue our disruptive mission to empower businesses everywhere to make the most authentic + profitable decisions in real time.

Our AI-driven Brand Mentality platform enables brands and agencies to leverage an ever-changing ocean of news, premium publisher, CTV, social, creator, and audience data to make more intelligent decisions at the speed of culture. At Sightly, we’re passionate about our product, our customers, our impact on the world, and most importantly our team.

About the role:

Sightly is building the cultural intelligence layer for modern media buying, and MCP is becoming a key way clients connect their AI agents, workflows, and internal tools directly to Brand Mentality’s data and intelligence.

As our MCP Solutions Architect, you will help agencies, brands, and partners understand how Sightly’s MCP fits into their AI ecosystem. You’ll translate client use cases into clear agentic workflows, support technical onboarding, and work closely with Product, AI Engineering, and Data teams to improve our MCP tools and integrations.

This is a technical, client-facing role. You should be comfortable talking to AI engineers, product leaders, and media strategists, while also being technical enough to test tools, read logs, understand schemas, and help debug issues.

What you’ll work on:

• Help clients understand how to use Sightly’s MCP in their AI workflows




• Translate client needs into clear MCP use cases and agent workflows




• Support demos, pilots, onboarding, and technical discovery




• Work with Product and Engineering to define new MCP tools and improvements




• Troubleshoot tool call issues, integration problems, and unexpected agent behavior




• Create documentation, examples, and best practices for clients




• Act as the bridge between client technical teams and Sightly’s internal teams

What we’re looking for:

• Strong understanding of MCP and how it differs from a traditional API




• Hands-on experience with Claude, OpenAI, or similar LLM platforms




• Familiarity with AI agents, tool calling, prompts, context windows, and structured outputs




• Ability to understand tool schemas, parameters, logs, and common integration issues




• Comfortable reading Python or backend code well enough to trace issues




• Strong communication skills with both technical and non-technical audiences




• Ability to turn vague client requests into clear workflows and implementation steps

Nice to have:

• Experience building or integrating MCP servers




• Experience with LangChain, LangGraph, Vercel AI SDK, CrewAI, or similar frameworks




• Familiarity with FastAPI, FastMCP, SQL, Snowflake, vector databases, or embeddings




• Experience with Docker, auth, secrets, cloud environments, or log-based debugging




• Experience in media, adtech, social listening, or marketing intelligence

Location:

• This is a remote position as we are a 100% distributed company