Senior Solution Architect – AI / Technical Lead

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🕒 4 dias atrás

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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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 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

🎯 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 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

🏖️ Benefícios

• 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