[Hiring] Solution Architect @Bits In Glass

Role Description

This is the highest-leverage technical role at ConveneAI. Every architectural decision you make is inherited by multiple client engagements, and the accelerators and standards you build determine how fast the next pod moves.

• You shape engagements before they are sold, by assessing what is genuinely buildable in 8 to 12 weeks.
• You govern architecture across live pods, making decisions on model hosting, data residency, security posture, and integration patterns.
• You lead the technical craft through design review, mentorship, and the reference architecture that every pod starts from.
• You will remain hands-on, reading code, prototyping, and defending designs in architecture review boards.

Qualifications

• 10 or more years building and shipping enterprise software, including at least 2 years on production LLM or agentic systems.
• A track record as the technical owner across multiple concurrent client engagements.
• Deep hands-on capability: Python, cloud architecture (AWS, Azure, or GCP), distributed systems, and API and integration design.
• Production experience with agent architectures, retrieval at enterprise scale, evaluation, and operational aspects of AI systems.
• Enterprise architecture fluency: identity and access, security posture, data residency, network isolation, and model hosting options.
• Commercial literacy, understanding how architecture decisions affect gross margin on fixed-fee engagements.
• Credibility with both client CIOs and engineers.
• The judgement to recommend against undeliverable deals under commercial pressure.
• Legally entitled to work in Canada and willing to travel to client sites.

Requirements

• Architecture leadership at a consultancy or systems integrator, or a Field CTO or principal architect role at an AI, data, or cloud platform vendor.
• Depth in a regulated industry with named systems: policy administration and claims platforms, core banking, or clinical systems.
• Self-hosted or open-weight model deployment, fine-tuning, distillation, and private inference architecture.
• Experience building a reference architecture or accelerator library that is genuinely reused.
• Experience scaling a delivery organization and the operational challenges that come with it.
• Published writing, conference talks, or open-source work on applied AI architecture.

Benefits

• Your decisions compound, impacting every engagement that follows.
• You define the standard at a pivotal point in the company's life.
• Genuine breadth of experience from pre-sales shaping to production operations across multiple industries.
• Direct working relationship with founders and senior AI operators.
• Meaningful equity at a stage where technical decisions are critical for scaling delivery models.