Senior Solution Architect – AI, Technical Lead

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🕒 4 dias atrás

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 10%

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Bits In Glass

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2002

💼 Consultoria

📦 Logística

🏭 Manufatura

💰 Private equity em 2024-03

Consulting • Logistics • Manufacturing

A Bits In Glass é uma empresa global de consultoria boutique que projeta, desenvolve e gerencia soluções de automação inteligente e integração para clientes empresariais. A empresa é especializada em AI e engenharia de dados empresariais, desenvolvimento low-code/no-code, automação de processos (incluindo RPA e BPA), integração de aplicações empresariais, implementações de CRM e serviços de gestão de aplicações, trabalhando com parceiros como Appian, AWS, UiPath, MuleSoft, Snowflake e Creatio. A Bits In Glass atende indústrias como serviços bancários e financeiros, seguros, transporte e logística, manufatura e distribuição, imóveis, saúde e o setor público, ajudando as organizações a escalarem automação, melhorarem a eficiência e transformarem dados em insights acionáveis.

Descrição

• Shape client engagements during the sales cycle by assessing technical feasibility and realistic 8–12-week production scope • Push back on requirements that cannot be delivered before contractual commitments • 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 decisions involving data residency, inference hosting, identity and access, network isolation, and systems-of-record integration • Unblock pods through pairing and review • Own technical escalations and provide candid status assessments to the Product Owner and leadership • 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 models, frameworks, and tooling for inclusion in the standard stack • Build reusable technical assets that improve pod delivery efficiency • 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 • Read code, prototype solutions, and defend designs before bank and insurer architecture review boards

🎯 Requisitos

• 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 AI-system failure modes • Enterprise architecture fluency covering 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 undeliverable deals and hold 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: regulated-industry experience with systems such as Guidewire, Duck Creek, core banking, or clinical systems • Bonus: self-hosted or open-weight model deployment, fine-tuning, distillation, and private inference architecture • Bonus: experience building reusable reference architectures or accelerator libraries • Bonus: experience scaling a delivery organisation • Bonus: published writing, conference talks, or open-source work on applied AI architecture

🏖️ Benefícios

• Meaningful equity at the stage where technical decisions determine whether the delivery model scales or stalls • Initial employment on Bits In Glass payroll with intended transition to a permanent position directly with Convene AI after approximately 12–18 months, subject to business requirements and transition arrangements • Collaboration with the support, culture, and established consulting expertise of Bits In Glass • Direct working relationship with the founders and senior AI operators • Genuine breadth across pre-sales shaping through production operations and multiple industries