Solution Architect (Senior AI / Technical Lead)

7 days ago

Remote, WorldwideStaff+

Responsibilities

Assess technical feasibility and scope enterprise AI engagements for delivery within 8 to 12 weeks.
Own architecture decisions involving model selection, hosting, data residency, security, identity and access, network isolation, integrations, and reuse.
Write technical proposal and statement-of-work sections and support measurable commercial outcomes.
Represent ConveneAI in client architecture, security, and vendor review boards.
Run architecture reviews and governance gates across live delivery pods and manage technical escalations.
Monitor inference cost, latency, reliability, observability, and failure modes across engagements.
Own the reference architecture and accelerator library and establish standards for agent design, evaluation, security, and cost management.
Mentor GenAI and Data Engineers through design and code review and support technical hiring and career development.

10 or more years building and shipping enterprise software, including at least 2 years with production LLM or agentic systems used by real users.
Track record as technical owner across multiple concurrent client engagements.
Hands-on capability with Python, cloud architecture, distributed systems, and API and integration design.
Production experience with agent architectures, enterprise-scale retrieval, evaluation, observability, cost-per-task analysis, latency, and AI-system failure modes.
Enterprise architecture experience covering identity and access, security posture, data residency, network isolation, and model hosting.
Ability to communicate credibly with client executives, architecture review boards, and hands-on engineers.
Commercial understanding of fixed-fee engagement economics and the judgment to reject undeliverable deals.
Legally entitled to work in Canada and willing to travel to client sites.
Experience at a consultancy or systems integrator, or as a Field CTO or principal architect at an AI, data, or cloud platform vendor, is preferred.
Experience with regulated-industry systems such as Guidewire, Duck Creek, core banking, or clinical platforms is preferred.
Experience with self-hosted or open-weight models, fine-tuning, distillation, private inference, reference architectures, accelerator libraries, or scaling delivery organizations is preferred.
Published applied-AI architecture writing, conference talks, or open-source work is preferred.

Initially employed by Bits In Glass while working directly with ConveneAI, with an expected 12–18 month transition to a permanent ConveneAI position subject to business requirements and transition arrangements.
Meaningful equity opportunity.
Direct collaboration with founders and senior AI operators across multiple industries.
Travel to client sites is required.

201-500 employees