About Us:
Consertus is a global capital program management and advisory firm that combines deep human expertise with advanced digital tools to deliver smarter, faster, and more sustainable outcomes. Headquartered in Miami, Florida, and supported by a team of more than 1,000 professionals worldwide, we help clients plan, execute, and optimize large-scale capital programs.
Our integrated services span digital, advisory, and delivery, empowering organizations to navigate complexity, manage risk, and achieve strategic goals in sectors including aviation, transportation, transit, water, healthcare, energy, education, government, commercial, life sciences, and technology.
At Consertus, we celebrate individual strengths, foster strong relationships, and promote flexibility in how and where we work. Join us to grow your career, develop your skills, and make a lasting impact as we transform how the world is built.
Discover how Consertus is driving transformative change for our clients, our people, and the communities we serve at www.consertus.com
About this Role:
We are seeking a seasoned Senior AI Architect to design, architect, and deliver transformative, end-to-end intelligent software solutions leveraging Large Language Models (LLMs). In this strategic role, you will lead architectural initiatives, driving scalability, reliability, and user-focused outcomes within our core technology stack (FastAPI/Python, Next.js/TypeScript, GCP), using Cursor as your primary development environment.
As our Senior AI Architect, you will architect and oversee the implementation of robust AI-enabled microservices designed for direct integration into applications, as well as MCP (Model Context Protocol) servers that provide abstraction and structured, context-aware interactions for AI agents. Your vision will shape our products, improve decision-making, and significantly enhance user engagement and scalability. You will own strategic architectural decisions to ensure our AI infrastructure is modular, performant, and built for long-term scale.
Key Responsibilities:
- 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.
Required Skills and Experience:
- 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.
Nice to Have:
- Experience leading teams or major projects involving LLM-powered multi-agent orchestration.
- Deep understanding of agent tool integrations (search APIs, code execution environments).
- Proven skill in advanced prompt engineering, chaining methodologies, and task decomposition.
- Experience with LLM evaluation frameworks and debugging complex distributed agent environments.
- Contributions to open-source projects related to MCP-compatible or agent-based systems.
What's In It For You:
- The opportunity to architect and deliver cutting-edge, production-level intelligent systems using advanced LLM and multi-agent technologies.
- Strategic ownership of AI-driven systems leveraging the Model Context Protocol, significantly influencing our technical direction.
- A highly collaborative, innovation-driven environment using modern development tools and best practices.
- Visibility and leadership opportunities within a team shaping the future of AI infrastructure and applications.
- 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
How to Apply:
If you're passionate about advancing AI-driven infrastructure and shaping the future of intelligent systems, we'd love to hear from you. Apply today!
Equal Employment Opportunity Statement:
Consertus is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and identities, and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, or any other protected status.
