Responsable de livraison technique principal, IA Souveraine
Role Overview
Lead end-to-end partner deployments for Mila's Sovereign AI Lab, from discovery and feasibility through planning, deployment, operational handoff, and initial adoption review.
The initiative assembles an enterprise-ready open-source AI inference stack for organizations to run on infrastructure they control.
The stack includes model serving, retrieval, agent orchestration, observability, and a control plane.
Manage concurrent pilots and production deployments, coordinating Engineering and Partnerships and aligning technical and executive stakeholders.
The role coordinates technical delivery, defines credible commitments, and recommends adjustments when scope, timing, or readiness is no longer feasible.
Key Skills for This Role
Full Job Posting
Role overview
Lead end-to-end partner deployments for Mila's Sovereign AI Lab, from discovery and feasibility through planning, deployment, operational handoff, and initial adoption review.
The initiative assembles an enterprise-ready open-source AI inference stack for organizations to run on infrastructure they control.
The stack includes model serving, retrieval, agent orchestration, observability, and a control plane.
Manage concurrent pilots and production deployments, coordinating Engineering and Partnerships and aligning technical and executive stakeholders.
The role coordinates technical delivery, defines credible commitments, and recommends adjustments when scope, timing, or readiness is no longer feasible.
Main responsibilities
- Lead partner discovery to understand intended use cases, deployment environments, organizational constraints, and success criteria, assessing feasibility with Engineering.
- Maintain plans across concurrent deployments, including scope, milestones, responsibilities, dependencies, resource needs, risks, and acceptance criteria.
- Serve as the partner's primary accountable contact during active delivery and communicate progress, decisions, risks, and changes.
- Bridge internal teams and partner deployment teams throughout implementation.
- Identify delivery risks and unresolved decisions, assess implications, and recommend changes to scope, sequence, timing, or readiness.
- Gather structured feedback from partner administrators and users and translate deployment evidence into product issues and recommendations.
- Create reusable playbooks, templates, acceptance criteria, and review practices to improve future deployments.
Required qualifications
- Five or more years in technical delivery management, technical project or program management, enterprise software implementation, or a comparable customer-facing role.
- Demonstrated success leading complex software or platform deployments for external enterprise customers or partners through discovery, planning, validation, operational handoff, and adoption.
- Experience managing concurrent deployments with practical responsibility for 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 conducting structured customer or user discovery, synthesizing qualitative and operational evidence, and making product recommendations.
- Ability to build trusted relationships with technical teams and executive sponsors, facilitate difficult decisions, and communicate changes and risks clearly and early.
- Strong written and verbal communication skills in English and French.
- 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, partner enablement, or early adoption experience is useful.
- Early-stage product delivery while architecture, capabilities, and operating models are evolving is useful.
Benefits and work environment
- Benefits include group insurance, employee and family assistance, telemedicine, retirement savings contributions, and a flexible benefits package.
- The vacation policy provides a base of 20 vacation days upon hiring.
- Flexible working hours, a summer schedule, and the possibility of telecommuting are offered.
- The workplace is in Montreal's Mile-Ex district, near public transit.
- Mila describes its environment as collaborative and inclusive.
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