Cloudify - AI Solutions Engineer

Syndesus

6d • Hybrid

About The Position

Our client is a Google Cloud partner operating at the intersection of enterprise
AI and intelligent automation. They work directly with mid-to-large enterprises
to design and deploy production-grade generative AI and agentic systems —
helping organizations move beyond consumer-grade AI experimentation and into
secure, governed, enterprise-ready solutions built on Google Cloud.
This is a nimble, high-agency environment. The team is small, the clients are
real, and the problems are genuinely unsolved. You won't be maintaining someone
else's roadmap — you'll be helping build one.

This is a founding technical role within the company's North American AI
practice. You'll be the primary architect and solutions engineer driving
customer engagements from initial conversation through to solution design and
handoff to the delivery team. Think less "hands-down-in-the-IDE" and more
forward-deployed technical expert — someone who can sit across from a CIO,
understand their business problem, and translate it into a credible,
production-ready AI solution on GCP.
You'll work closely with the founding leadership team and will have meaningful
input into how the practice is built, which frameworks get adopted, and what the
company's AI IP evolves into.

Requirements

• Deep, hands-on experience with Google Cloud Platform — Vertex AI, Model Garden, Gemini — and a strong understanding of what enterprise GCP deployment actually looks like in practice
• Proven experience building agentic AI systems — multi-step reasoning, tool use, state management, workflow orchestration — not just LLM prompting
• Strong software engineering fundamentals — you understand that AI is maybe 20% of the solution; the rest is robust, scalable, maintainable engineering
• Fluency across the enterprise AI considerations that actually matter in production: data governance, security, authentication/authorization, auditability, privacy
• Experience working with or integrating enterprise data sources — ERP systems, legacy platforms, databases — and understanding how to make that data AI-ready
• Excellent communication skills — you can hold a room with a CIO as comfortably as you can whiteboard an architecture with an engineering team
• Comfortable with ambiguity, ownership, and operating without a large supporting cast

Nice To Haves

• Familiarity with other cloud platforms (AWS, Azure) — cloud literacy translates
• Exposure to additional agentic frameworks (LangGraph, ADK, CrewAI) or other AI ecosystems (Anthropic, OpenAI)
• Background in consulting, systems integration, or pre-sales solutions engineering

Responsibilities

• Leading technical discovery and solution design for enterprise AI engagements, primarily on Google Cloud (Vertex AI, Gemini Enterprise)
• Architecting agentic AI systems that integrate with enterprise data sources — ERP systems, legacy platforms, modern data infrastructure — with full consideration for security, governance, data quality, and authorization frameworks
• Translating complex business logic into scalable, production-grade AI solutions and communicating those designs clearly to both technical and business stakeholders
• Collaborating with and directing offshore delivery teams to bring architectures to life
• Contributing to and evolving the company's existing AI IP and accelerators
• Staying sharp on the rapidly shifting agentic AI landscape — frameworks, tooling, and emerging best practices — and bringing that knowledge to bear for clients who are looking to you for guidance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed