Senior AI Architect

Consertus

Senior AI Architect designing end-to-end intelligent software solutions leveraging LLMs at Consertus. Leading development of scalable systems and overseeing AI infrastructure in a remote setting.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformJavaScriptNext.jsPythonTypeScript

About the role

Key responsibilities & impact

Architect and lead development of scalable, end-to-end LLM-powered agentic systems, including strategic planning, memory management, structured prompt engineering, and multi-agent orchestration.
Define, implement, and optimize MCP-compliant servers, establishing robust, modular, and context-rich interactions among AI components.
Provide strategic direction and technical leadership for developing APIs and backend services using FastAPI to orchestrate complex agent workflows.
Oversee design and development of dynamic, performant frontend applications built in Next.js for intuitive user interaction with intelligent systems.
Lead architectural planning and execution of deployments on Google Cloud Platform (Cloud Run, GKE, Cloud Functions), ensuring high availability, scalability, and cost efficiency.
Implement sophisticated multi-agent coordination using orchestration frameworks such as AutoGen, CrewAI, or LangGraph, ensuring cohesive, structured reasoning among distributed agentic components.
Design and optimize integrations with vector databases (e.g., Qdrant), establishing schemas and pipelines for efficient long-term memory, semantic search, and retrieval.
Act as a technical liaison between product, engineering, and infrastructure teams to align architecture with business strategy; mentor engineers on best practices for AI architecture, scalability, and performance.

Requirements

What you’ll need

5–8+ years of full-stack software engineering experience, with at least 2+ years explicitly focused on architecting AI-driven production systems.
Proven ability to architect and deliver complex, scalable solutions leveraging LLMs (OpenAI, Hugging Face, etc.).
Deep experience with Python (FastAPI), TypeScript (Next.js), and extensive knowledge of GCP infrastructure.
Demonstrated expertise in designing or significantly contributing to MCP servers or similar structured context-management systems.
Advanced knowledge of orchestration patterns, multi-agent systems, and frameworks (AutoGen, CrewAI, LangGraph).
Strong experience designing integrations and schema structures for vector databases (e.g., Qdrant).
Proficiency with Cursor, or a strong willingness to adopt it fully as your primary development tool.

Benefits

Comp & perks

Comprehensive health coverage (medical, dental, and vision)
Company-paid life and disability insurance
Optional benefits like pet insurance, legal, and supplemental health plans
401(k) with day-one eligibility, 3% safe harbor, plus up to 2.5% company match
Generous time off: 10 paid holidays and PTO starting at 15 days, growing up to 25
Access to Consertus Academy for continuous learning and development

ATS Keywords

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Hard Skills & Tools

PythonTypeScriptMCP Server DesignVector Database IntegrationOrchestration Frameworks

Soft Skills

Technical LeadershipMentoring