Solution Architect (Senior AI / Technical Lead)
Bits In Glass1 day ago
Remote, WorldwideStaff+
Responsibilities
- Assess technical feasibility and scope client engagements for realistic delivery within 8 to 12 weeks.
- Own architecture decisions covering model selection, build versus buy, hosting, data residency, identity and access, network isolation, security, and integration patterns.
- Write technical proposal and statement-of-work sections, define measurable outcome metrics, and represent ConveneAI in client architecture, security, and vendor review boards.
- Run architecture reviews and readiness gates across live engagements, provide technical escalations, and monitor inference cost, latency, reliability, and gross-margin impact.
- Own the reference architecture and accelerator library and establish standards for agent design, evaluation, observability, security, and cost management.
- Evaluate models, frameworks, and tooling for inclusion in the standard stack and build reusable technical assets.
- Mentor GenAI Engineers and Data Engineers through design and code reviews, interview and calibrate technical hires, and help define the engineering career path.
- Remain hands-on by reading and writing code, prototyping, and defending designs before enterprise architecture review boards.
Requirements
- 10 or more years building and shipping enterprise software, including at least 2 years working on production LLM or agentic systems used by real customers.
- Experience serving as the technical owner across multiple concurrent client engagements.
- Deep hands-on capability with Python, cloud architecture, distributed systems, and API and integration design.
- Production experience with agent architectures, enterprise-scale retrieval, evaluation, cost management, latency, observability, and AI-system failure modes.
- Enterprise architecture expertise spanning identity and access, security posture, data residency, network isolation, and model-hosting options.
- Ability to communicate credibly with enterprise clients, senior executives, and engineers and to recommend against engagements that cannot be delivered.
- Commercial understanding of how architecture decisions affect gross margin on fixed-fee engagements.
- Legally entitled to work in Canada and willing to travel to client sites.
- Preferred experience includes architecture leadership at a consultancy or systems integrator, Field CTO or principal architect work, regulated-industry systems such as Guidewire or Duck Creek, self-hosted or open-weight model deployment, fine-tuning, distillation, private inference, reusable reference architectures, delivery-organization scaling, and published or open-source applied AI work.
Benefits
- Initially employed by Bits In Glass while working with ConveneAI, with an expected 12–18 month transition period to a permanent ConveneAI position subject to business requirements and transition arrangements.
- Meaningful equity at a stage where technical decisions materially influence company growth.
- Direct collaboration with ConveneAI founders and senior AI operators from major consultancies and enterprise AI startups.
- Opportunity to define technical standards and work across multiple industries and the full lifecycle from pre-sales through production operations.
- Willingness to travel to client sites is required.
Tech Stack
Categories
Solutions Engineering
About Bits In Glass
Bits In Glass is an IT consulting firm that designs and implements enterprise automation, integration, and CRM solutions using platforms like Appian, MuleSoft, Salesforce, Pega, and Blue Prism. It delivers project-based and managed services to large organizations across North America, Europe, and India, covering AI, cloud, data, and business applications. Founded in 2002 and headquartered in Edmonton, it is privately held and received private‑equity investment in 2024.