Senior AI Architect

🔥 37 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Consertus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2024

🏛️ Government

🏢 Enterprise

Infrastructure • Government • Enterprise

Consertus is a capital program management and advisory firm that leverages digital innovation, advisory services, and delivery expertise to help owners plan, manage, and execute large-scale construction and capital programs. The company blends program controls, construction and project management, digital integration, and training to reduce risk, control costs, and drive measurable outcomes across public and private sector projects, with work spanning government agencies, infrastructure, healthcare, life sciences, utilities, and commercial clients.

📋 Description

• 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

• 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

• 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