Senior Solution Architect – AI / Technical Lead

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bits In Glass

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Private equity on 2024-03

Consulting • Logistics • Manufacturing

Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.

📋 Description

• Shape client engagements during the sales cycle by assessing technical feasibility and realistic production scope for 8–12 weeks • Push back on requirements that cannot be delivered before contractual commitments • Own architecture decisions affecting profitability, including model selection, build versus buy, accelerator reuse, bespoke work, and hosting approach • Write technical sections of proposals and statements of work • Help define measurable and defensible outcome metrics • Represent ConveneAI in client architecture, security, and vendor review boards • Run architecture reviews at kickoff and defined gates for every live engagement • Make cross-pod decisions on data residency, inference hosting, identity and access, network isolation, and integration patterns • Unblock pods through pairing and design review • Own the technical escalation path for drifting engagements and provide candid updates to the Product Owner and leadership • Monitor inference cost, latency, and reliability across engagements • Own the ConveneAI reference architecture and accelerator library • Define standards for agent design, evaluation, observability, security, and cost management • Evaluate models, frameworks, and tooling for inclusion in the standard stack • Build reusable technical assets to increase pod delivery leverage • Mentor GenAI Engineers and Data Engineers through design and code review • Interview and calibrate technical hires • Help define the engineering career path as the organization scales • Collaborate with senior AI architects across the global operating bench to maintain consistency across geographies • Read and write code, prototype solutions, and defend designs before enterprise architecture review boards

🎯 Requirements

• 10 or more years building and shipping enterprise software • At least 2 years on production LLM or agentic systems that real users depended on • Track record as the technical owner across multiple concurrent client engagements • Deep hands-on capability with Python • Cloud architecture experience with AWS, Azure, or GCP • Distributed systems expertise • API and integration design expertise • Production experience with agent architectures, retrieval at enterprise scale, evaluation, and AI system operations • Experience with cost per task, latency, observability, and failure modes • Enterprise architecture fluency including identity and access, security posture, data residency, network isolation, and model hosting options • Experience getting a regulated client's review board to approve a design • Commercial literacy regarding architecture decisions and gross margin on fixed-fee engagements • Credibility with client CIOs or Chief Architects and practicing engineers • Judgement to recommend against an undeliverable deal and maintain that position under commercial pressure • Legally entitled to work in Canada • Willing to travel to client sites • Bonus: Architecture leadership at a consultancy or systems integrator, or Field CTO/principal architect experience at an AI, data, or cloud platform vendor • Bonus: Depth in regulated industries and named systems such as Guidewire, Duck Creek, core banking, or clinical systems • Bonus: Self-hosted or open-weight model deployment, fine-tuning, and private inference architecture • Bonus: Experience building a reference architecture or accelerator library reused by other teams • Bonus: Experience scaling a delivery organisation • Bonus: Published writing, conference talks, or open-source work on applied AI architecture

🏖️ Benefits

• Meaningful equity at the stage where technical decisions determine whether the delivery model scales or stalls • Support, culture, and established consulting expertise of Bits In Glass during the transition period • Opportunity to work directly with Convene AI founders and senior AI operators • Opportunity to contribute to an emerging AI organization at an important stage of its growth