Forward Deployed Engineer responsible for building AI - powered agents and customer service experiences. Engage in end - to - end delivery and continuous iteration within a hybrid working model.
About the role
- Senior AI Specialist defining and scaling AI capabilities across Seaspan Shipyards. Leading AI strategy and practice to ensure secure, ethical, and production-ready AI initiatives.
Responsibilities
- Define, build, and scale enterprise AI capabilities across the shipyards
- Establish the foundational AI practice and guide the responsible adoption of AI technologies
- Deliver high-value AI solutions aligned with Seaspan’s business objectives
- Work closely with IT, Engineering, Operations, Finance, Security, Legal, and Business stakeholders
- Coordinate the execution of Seaspan Shipyards’ enterprise AI strategy and roadmap
- Serve as the authoritative voice on AI capability, readiness, and feasibility across the organization
- Foster a collaborative, inclusive, and high-performing team culture
- Define role profiles, skills development plans, and career pathways for AI practitioners
- Stay current on advancements in AI, Machine Learning, NLP, LLMs, GenAI, and cloud-based AI platforms
- Support the evaluation of emerging AI tools, frameworks, and vendors
- Lead the design and implementation of reusable AI architectures, pipelines, and components
- Partner with business leaders to translate operational challenges into AI-enabled solutions
- Ensure AI initiatives move beyond proof-of-concept into production with clear ownership
- Embed ethical AI principles, transparency, and risk mitigation practices into solution design
- Act as a bridge between technical teams and business stakeholders
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related discipline
- Master’s degree in a relevant field is strongly preferred
- Relevant certifications in AI, cloud platforms, or data engineering are considered an asset
- 8+ years of progressive experience in technology, data, analytics, or AI-related roles
- 5+ years in a technical leadership role, building and leading teams
- Demonstrated experience establishing or scaling an AI, analytics, or advanced data practice within a complex organization
- Experience delivering AI solutions in shipbuilding, manufacturing, regulated, safety-critical, or industrial environments is highly desirable
- Proven track record of moving AI initiatives from concept to production with measurable business impact
- Strong understanding of AI and machine learning concepts, including supervised and unsupervised learning, NLP, and LLM-based solutions
- Experience with cloud-based AI and data platforms (e.g., Azure, AWS, or equivalent enterprise environments)
- Familiarity with AI/MLOps / model lifecycle management, including deployment, monitoring, and retraining
- Working knowledge of data architecture, integration patterns, and enterprise systems (ERP, PLM, operational systems)
- Understanding of data governance, security, privacy, and responsible AI principles
- Ability to evaluate and guide the use of open-source and commercial AI tools
Benefits
- annual bonus and pension plan matching
- best-in-class health and wellness benefits package
- full health care (e.g. unlimited physiotherapy)
- dental, vision, life insurance
- medical leave coverage
- parental leave coverage
- wellness/fitness reimbursement for memberships or registration fees
- Employee Family Assistance Program (EFAP)
- parking included
- complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver
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