Ottawa, On Director of data science Jobs – 1 Openings This Week

Director, AI Engineering – Enterprise AI
Lumentum —Ottawa, ON
- Full-time
- Azure
- ERP systems
- System design

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Director, Data Science
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Director, Data Scientist
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Act as a senior practitioner, contributing directly to the design, development, and improvement of AML and crypto risk detection models across the full…
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Director, AI Engineering – Enterprise AI

Lumentum -
Ottawa, ON

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Job details

Full-time

Qualifications

Knowledge management
Software engineering
Azure
Law
ERP systems
System design
Google Cloud Platform
Data governance
AWS
Docker
Machine learning
Team management
Version control systems
Mentoring
Recruiting
Software development
APIs
Manufacturing
AI
Model evaluation
Software development or architecture experience
Leadership
Communication skills
Python

Full job description

locations

Canada - Ottawa (Bill Leathem)

time type

Full time

posted on

Posted 19 Days Ago

job requisition id

20261084

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Lumentum Canada was awarded the 2022 National Capital Region’s Top Employers for the 6th consecutive year and the 2022 Career Directory Canada’s Best Employers for Recent Graduates for the 5th consecutive year.

Role Summary

We are seeking an experienced Director of AI Engineering to build and lead a world-class AI engineering team. This is a critical leadership role responsible for designing and delivering enterprise-grade AI applications that drive business value across Marketing, Finance, Legal, Enterprise Search, and R&D workflows. You will combine deep technical expertise with strong people leadership skills to grow the team, mentor engineers, establish best practices, and scale our AI capabilities across a globally distributed organization.

Key Responsibilities

Lead and grow an AI engineering team, recruiting top talent and building a high-performing culture focused on technical excellence
Design and oversee the delivery of enterprise AI applications across multiple business functions (Marketing, Finance, Legal, Search, R&D)
Establish technical standards, architecture patterns, and code review practices that ensure software engineering excellence and maintainability
Mentor engineers in modern AI/ML systems design, cloud infrastructure, production deployment, and operational excellence
Collaborate with product, data science, and business stakeholders to translate requirements into robust technical solutions
Drive technology decisions around AI frameworks, cloud platforms, and infrastructure to optimize for cost, performance, and reliability
Build and maintain systems for data pipelines, model serving, monitoring, and continuous improvement of AI applications
Lead technical strategy for scaling AI capabilities, including considerations for enterprise security, compliance, and governance

Required Qualifications

15+ years of professional software engineering experience with demonstrated progression to senior/leadership roles
3+ years of experience with AI/ML systems (including LLMs, generative AI, RAG architectures, or similar modern AI applications) in production environments
3+ years of technical leadership experience managing and mentoring engineering teams
Deep hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and modern deployment practices
Strong expertise in Python and/or other languages commonly used for AI/ML applications
Proven ability to work effectively in globally distributed teams with experience managing across time zones
Strong understanding of software engineering best practices: version control, testing, code review, CI/CD, observability
Track record of shipping production systems at scale with focus on reliability, performance, and maintainability
Excellent communication skills; ability to articulate technical concepts to both technical and non-technical stakeholders

Preferred Qualifications

Experience in manufacturing, industrial, or enterprise software environments
Familiarity with enterprise systems (ERP, CRM, workflow automation) and integration patterns
Background in developing retrieval-augmented generation (RAG) systems or knowledge management applications
Experience with MLOps, model monitoring, and LLM evaluation frameworks
Expertise in establishing and scaling engineering culture, documentation, and knowledge sharing practices
Experience with enterprise security, compliance, and data governance requirements
Track record of building systems that integrate with modern API ecosystems and third-party AI services

Apply Now

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director of data science jobs in ottawa, on

Director, AI Engineering – Enterprise AI

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