Responsable de livraison technique principal, IA Souveraine
Role Overview
The Sovereign AI Lab is building an enterprise-ready, open-source AI inference stack for organizations to deploy and operate on infrastructure they control.
The stack includes model serving, retrieval, agent orchestration, observability, and a control plane.
The Senior Technical Delivery Manager leads partner deployments from discovery and feasibility through planning, deployment, operational handoff, and initial adoption review.
The role manages concurrent pilots and production deployments and coordinates Engineering, Partnerships, partners, and technical and executive stakeholders.
Key Skills for This Role
Full Job Posting
Role overview
The Sovereign AI Lab is building an enterprise-ready, open-source AI inference stack for organizations to deploy and operate on infrastructure they control.
The stack includes model serving, retrieval, agent orchestration, observability, and a control plane.
The Senior Technical Delivery Manager leads partner deployments from discovery and feasibility through planning, deployment, operational handoff, and initial adoption review.
The role manages concurrent pilots and production deployments and coordinates Engineering, Partnerships, partners, and technical and executive stakeholders.
Responsibilities
- Lead partner discovery and assess use-case, deployment, organizational, and success requirements with Engineering.
- Maintain delivery plans covering scope, milestones, responsibilities, dependencies, resources, risks, and acceptance criteria.
- Act as the partner's primary delivery contact and communicate progress, decisions, risks, and changes.
- Connect internal and partner teams throughout implementation.
- Identify risks and unresolved decisions and recommend realistic adjustments to scope, sequence, timing, or readiness.
- Gather structured feedback from partner administrators and users and translate it into product recommendations.
- Create reusable playbooks, templates, acceptance criteria, and review practices based on deployment patterns.
Required qualifications
- At least five years of experience in technical delivery management, technical project or program management, enterprise software implementation, or a comparable customer-facing role.
- Demonstrated success leading complex enterprise software or platform deployments through validation, operational handoff, and adoption.
- Experience managing concurrent deployments and their scope, milestones, dependencies, risks, stakeholder communication, and acceptance criteria.
- Technical fluency across cloud or on-premises infrastructure, containers, orchestration, networking, security, and operational readiness.
- Working knowledge of AI systems including model serving, retrieval, agent orchestration, evaluation, and observability.
- Experience with structured customer or user discovery, evidence synthesis, and product recommendations.
- Ability to build trusted relationships, facilitate difficult decisions, and communicate changes and risks clearly and early.
- Strong written and verbal English and French communication skills.
- Relevant university degree or equivalent professional experience.
Useful experience
- Open-source product delivery in cloud, on-premises, regulated, security-sensitive, or customer-controlled environments is useful.
- Professional services, technical consulting, implementation, or partner enablement and early-adoption experience is useful.
- Early-stage product delivery while architecture, capabilities, and operating models are evolving is useful.
Benefits
- Benefits include group insurance, employee and family assistance, telemedicine, 20 days of vacation from hiring, and an employer retirement contribution of at least 4%.
- A flexible benefits package, flexible hours, a summer schedule, and the possibility of telecommuting are offered.
- The workplace is in Montreal's Mile-Ex area, near public transit; the organization describes its environment as collaborative and inclusive.
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