Senior Solution Architect – AI, Technical Lead

Job not on LinkedIn

🔥 2 hours 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

• Join client conversations during sales cycles to assess technical feasibility and scope production deliverables for 8- to 12-week engagements • Challenge requirements that cannot be delivered before contractual commitments are made • Own architecture decisions covering 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 • Govern data residency, private versus hosted inference, identity and access, network isolation, and integration patterns • Unblock pods through pairing and review • Own technical escalation when engagements drift off track • Monitor inference cost, latency, and reliability across engagements • Own the ConveneAI reference architecture and accelerator library • Set standards for agent design, evaluation, observability, security, and cost management • Evaluate new models, frameworks, and tooling for inclusion in the standard stack • Build reusable technical assets that improve pod delivery capacity • Mentor GenAI Engineers and Data Engineers through design and code review • Interview and calibrate technical hires and help define the engineering career path • Collaborate with senior AI architects across the global operating bench to maintain consistent standards

🎯 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 (AWS, Azure, or GCP), distributed systems, and API and integration design • Production experience with agent architectures, retrieval at enterprise scale, evaluation, cost per task, latency, observability, and failure modes • Enterprise architecture fluency in 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, including understanding how architecture decisions affect gross margin on fixed-fee engagements • Credibility with client CIOs or Chief Architects and hands-on 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

🏖️ Benefits

• Meaningful equity at the stage where technical decisions determine whether the delivery model scales or stalls • Collaboration with founders and senior AI operators • Support, culture, and established consulting expertise of Bits In Glass • Opportunity to work on innovative AI solutions and contribute to an emerging AI organization