Bits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom. Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications. We are a team of experienced technology professionals who enjoy solving complex challenges, celebrating wins together, and helping customers modernize with confidence. AN EXCITING OPPORTUNITY WITH BIG AND CONVENE AI BIG is excited to be partnering with Convene AI, an AI-focused technology company developing innovative solutions that leverage artificial intelligence to solve real-world business challenges. As part of this partnership, we are looking for talented professionals to join BIG and work directly on Convene AI projects and initiatives. You will initially be hired as an employee of Bits In Glass, while working closely with the Convene AI team and contributing to the development and growth of their AI solutions. The role is expected to remain on BIG’s payroll for approximately 12–18 months, with the intention of transitioning to a permanent position directly with Convene AI following this period, subject to business requirements and transition arrangements. This is an exciting opportunity to contribute to an emerging AI organization at an key stage of its growth, while benefiting from the support, culture, and established consulting expertise of Bits In Glass. 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 govern architecture across live pods, making the decisions a single embedded engineer should not make alone: model hosting, data residency,



security posture, integration patterns. And you lead the technical craft, through design review, mentorship, and the reference architecture that every pod starts from. Join client conversations during the sales cycle to assess technical feasibility, and scope what can realistically reach production in 8 to 12 weeks. Write the technical sections of proposals and statements of work, and help the commercial team define outcome metrics that are measurable and defensible. Represent ConveneAI in client architecture, security, and vendor review boards, and clear the technical path to a signed deal. Make the calls that carry risk beyond one pod: data residency, private versus hosted inference, identity and access design, network isolation, and integration patterns with systems of record. Unblock pods when they hit something outside their depth, by pairing and reviewing rather than taking the work away from them. Own the technical escalation path when an engagement drifts off track, and give the Product Owner and leadership an unvarnished read. Own the ConveneAI reference architecture and accelerator library, and decide what gets harvested from an engagement versus rebuilt properly for reuse. Build the technical assets that let a four-person pod deliver what a fifteen-person team used to, because that gap is the entire commercial thesis.



Technical Leadership Mentor GenAI Engineers and Data Engineers across pods through design and code review, and raise the technical ceiling of the delivery organisation. Interview and calibrate technical hires, and help define the engineering career path as we scale from the first pods to many. Work with senior AI architects across our global operating bench to keep standards consistent across geographies. 10 or more years building and shipping enterprise software, including at least 2 years on production LLM or agentic systems that real users depended on. ~ A track record as the technical owner across multiple concurrent client engagements, not just one long programme. ~ 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 the operational side of AI systems: cost per task, latency, observability, and failure modes. ~ Enterprise architecture fluency: identity and access, security posture, data residency, network isolation, and model hosting options, plus the experience to get a regulated client's review board to approve a design. ~ Commercial literacy. Credibility in both directions: with a client CIO or Chief Architect, and with an engineer who suspects you have stopped building. ~ The judgement and standing to recommend against a deal that cannot be delivered, and to hold that position under commercial pressure. ~ Legally entitled to work in Canada and willing to travel to client sites. BONUS POINTS 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: pol

📌 Solution Architect (Canada)
🏢 Bits In Glass
📍 Canada