Director of Technical Strategy
1 week ago
We are seeking a seasoned Director of Technical Strategy to lead our engineering team and drive the development of cutting-edge AI solutions.
About the RoleThe Director of Technical Strategy will be responsible for developing and implementing scalable infrastructure solutions, optimizing AI workflows, and fostering technical talent. This position ensures that the engineering team operates with peak efficiency, addressing high-performance computing challenges while mentoring and growing internal talent.
Key Responsibilities:- Infrastructure and Systems Management:
- Overses the planning, building, and maintenance of secure and reliable software infrastructure required for high-performance ML computing, including GPU/TPU allocation and cloud services integration
- Defines and leads comprehensive monitoring, logging, and alerting systems to detect anomalies and maintain infrastructure performance
- Defines and leads relevant performance metrics that detect real-time anomalies and establish alerting mechanisms
- Leds compliance with cybersecurity protocols and collaborates with the Director of IT to align infrastructure strategy with organizational security goals
- Computing Strategy & Vision Alignment:
- Develops and implements a forward-looking computing strategy that aligns with Amii's mission, ensuring that infrastructure and systems support the organization's long-term goals
- Collaborates with leadership to ensure that engineering projects and infrastructure investments align with the organization's strategic objectives, including research excellence and applied AI delivery
- Continuously reviews emerging technologies and industry trends to keep Amii's computing strategy innovative and future-ready
- Collaborates with academic institutions, service providers and stakeholders to align cross-functional computing plans and initiatives
- AI Workflow Optimization:
- Designs and implements automated pipelines to streamline the AI development lifecycle, from data ingestion to model deployment, ensuring system reliability and efficiency
- Guide the selection, development, and integration of tools to optimize AI models and ML workflows
- Collaborates with ML scientists to continuously improve model performance while optimizing computing resources
- Technical Coaching and Training:
- Leds technical training initiatives and develops strategies for building internal expertise in AI infrastructure and tool adoption
- Act as a mentor to engineers and ML scientists, promoting best practices in software development, infrastructure management, and ML engineering
- Leds development of one-to-many training assets to support skills development by academic researchers and graduate-level students
- Leds efforts on both open and closed-source software to amplify our research and application efforts
- Ph.D. in Machine Learning or related field with relevant experience in Machine Learning
- 7+ years of experience in machine learning engineering practice or research in a fast-paced, innovative environment
- 5+ years of demonstrated experience in Python programming, MLOps infrastructure (eg. Pytorch, Tensorflow, distributed LLM pre-training), systems administration or software development roles in a UNIX/Linux or large-scale high-performance computing environment (experience working with GPUs preferred), and in associated cloud computing commercial systems
- 3+ years of supervisory experience (nice to have)
- Experience with and passion for designing effective learning exercises, illustrations of technical concepts, training and evaluation tools
- Exceptional attention to detail with the ability to prioritize and meet project deadlines
- Inquisitive, interested in and able to test new educational tools and technologies
- Advanced critical thinking and problem-solving skills
- Strong interpersonal communication skills for effective interactions with internal departments and external stakeholders. Operates with the highest standards of integrity and trust.
- Successfully manages multiple competing priorities in a fast-paced environment
- Demonstrates professional maturity, resourcefulness and self-discipline in engaging in the pursuit of the organization's goals.
- Demonstrates presence, self-confidence, sound judgment, and superior problem-solving ability
- A motivated leader who demonstrates individual drive and an uncompromising desire to achieve exceptional results
- Promotes high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals
We offer a professional yet casual work environment that encourages the growth and development of your skills.
Participate in professional development activities
Gain access to the Amii community and events
A chance to learn from amazing teammates who support one another to succeed.
Competitive compensation, including paid time off and flexible health benefits.
A modern office located in downtown Edmonton, Alberta.
About AmiiOne of Canada's three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world's top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
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