Data Solution Architect designing SGI’s cloud data platforms across Azure and AWS. Enabling governed analytics, AI/ML, integration, and enterprise reporting solutions.
About the role
- Senior Solution Architect shaping enterprise AI engagements for Bits In Glass and ConveneAI. Governing architecture, building reusable standards, and leading GenAI delivery across client pods.
Responsibilities
- 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
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 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
Benefits
- 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
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