Lead AI/ML initiatives focusing on solution delivery and business development. Responsibilities include project management, client engagement, and mentoring teams.
Job Description
We are seeking a highly skilled and client-facing Principal Lead – AI/ML Engineer to spearhead our AI/ML initiatives. This role will focus on delivery of cutting-edge AI/ML solutions along with technical leadership (80%) and supporting business development (20%) through client engagement, understanding their business challenges, and translate them into impactful AI solutions.
The ideal candidate will combine deep technical expertise with strong consulting, communication, and leadership skills to drive impactful AI/ML solutions for clients while supporting business growth.
Key Responsibilities
Delivery & Technical Leadership (80%)
- Lead design, development, and deployment of AI/ML, Deep Learning, and Data Science solutions for client projects.
- Architect scalable, production-ready ML systems, pipelines, and APIs.
- Mentor and guide engineering teams, ensuring technical excellence and adoption of best practices.
- Stay updated on the latest advancements in AI/ML, deep learning, and related technologies, incorporating them into solutions.
- Drive end-to-end delivery from problem definition, data exploration, model development, validation, deployment, and monitoring.
- Collaborate with cross-functional teams including data engineers, software engineers, and product managers.
- Ensure project delivery is on time, within budget, and aligned with client expectations.
Business Development & Client Engagement (20%)
- Partner with business teams to identify new opportunities for AI/ML engagements with clients.
- Participate in client presentations, pre-sales discussions, and proposal development.
- Understand client pain points, translate business needs into AI/ML solutions, and create value-driven roadmaps.
- Act as a thought leader and trusted advisor for clients on AI/ML trends, strategy, and adoption.
Requirements
Required Skills & Experience
- Proven experience (10+ years) in AI/ML engineering, with at least 3–4 years in a leadership/principal role.
- Strong expertise in:
- Programming Languages: Python, R, Java, Scala, C++ (Python preferred).
- Frameworks & Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, OpenAI APIs, XGBoost, LightGBM.
- Deep Learning: CNNs, RNNs, LSTMs, Transformers, GANs, foundation models.
- ML Ops & Deployment: MLflow, Kubeflow, TensorRT, Docker, Kubernetes, CI/CD for ML.
- Hands-on experience deploying ML models in cloud environments (GCP, AWS, Azure)
- Proven expertise in forecasting and time-series modeling, with hands-on experience building and deploying solutions for demand planning, anomaly detection, and predictive analytics.
- Experience in designing and integrating Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI solutions, leveraging LLMs and vector databases.
- Excellent client-facing skills: able to explain technical solutions in business terms and influence C-level stakeholders.
- Strong track record of project delivery in applied AI domains such as NLP, computer vision, recommendation systems, predictive analytics, or generative AI.
- Ability to balance hands-on coding with strategic leadership and mentoring.
Desired Attributes
- Entrepreneurial mindset with the ability to identify and shape new opportunities.
- Exceptional communication and presentation skills for diverse audiences (technical & non-technical).
- Passion for continuous learning and staying ahead of AI/ML innovation.
- Ability to work in a fast-paced, collaborative environment with global teams.
Benefits
What We Offer
- Opportunity to lead cutting-edge AI/ML projects with high-impact outcomes.
- Client-facing exposure across industries
- A culture of innovation, collaboration, and continuous learning.
- Competitive compensation and growth opportunities in both technical and leadership tracks.
Similar Jobs
Fintech • Financial Services
Support investment banking activities by analyzing companies and market data, building valuation models, making client recommendations, preparing presentations, identifying process improvements, and collaborating with internal and external stakeholders while ensuring regulatory compliance.
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead the creation of educational content and training programs, managing a team to drive product adoption across Superhuman's suite of products, including AI solutions.
Top Skills:
Ai ToolsLmsSaaS
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Staff Revenue Designer, you will lead the design of marketing materials and campaigns, collaborating with teams to create impactful visual experiences for enterprise audiences.
Top Skills:
Adobe AcrobatAdobe IllustratorAdobe IndesignAi TechnologiesFigmaGoogle DocsGoogle Slides
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
