About the Role
We're looking for an AI Solutions Architect to bridge the gap between what clients are asking for and what we actually build — shaping technical approach during pre-sales and staying involved through delivery to make sure the architecture holds up.
What You'll Do
- Lead technical discovery with prospective clients to scope AI engagements accurately
- Design end-to-end solution architectures spanning cloud infrastructure, data, and AI/ML components
- Partner with delivery teams to make sure what was scoped is what gets built — and adjust when reality diverges from the plan
- Produce technical proposals, architecture diagrams, and estimates that engineering can actually commit to
- Stay current across cloud AI platforms and LLM infrastructure so recommendations reflect what's actually production-ready, not just what's trending
What We're Looking For
- 7+ years in solutions architecture, technical consulting, or senior engineering roles, with real exposure to AI/ML systems
- Strong grasp of cloud architecture (AWS, Azure, or GCP) and how AI workloads run on it
- Comfortable in front of a client — you can defend a technical position to both an engineering audience and a business one
- Track record of scoping engagements that didn't blow up in delivery
Nice to Have
- Prior consulting or systems-integrator experience
- Hands-on experience with LLM infrastructure (inference serving, RAG architecture, fine-tuning pipelines)
- Cloud architecture certifications (AWS/Azure/GCP)