AI ML Architect

3Pillar; Canada; Remote; CAD 120,000 - 160,000; Full time

Job summary

3Pillar is seeking a strategic Technical Advisor for AI/ML systems to influence innovative solutions for clients. The role includes leading solution architecture discussions, mentoring teams, and ensuring ethical AI practices. Ideal candidates will possess a Master's/Ph.D. and have significant experience in machine learning, strong leadership skills, and an aptitude for innovative thinking.

Benefits

Flexible work environment

Global team collaboration

Focus on well-being

Career growth opportunities

Commitment to diversity and inclusion

Qualifications

• Master’s degree with 12+ years experience in machine learning or data science.
• Strong leadership and diplomatic skills with experience in building AI systems.
• Proven track record in delivering impactful projects in AI/ML.

Responsibilities

• Define architecture for AI/ML systems and serve as a technical advisor.
• Guide solution design discussions and lead client interactions.
• Mentor technical teams and drive innovation through machine learning solutions.

Skills

Python

MLOps

AI architecture patterns

Data Governance

Model Risk Management

Education

Master’s degree in Computer Science, Engineering or Mathematics

Ph.D. (highly desirable)

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

MLflow

SageMaker Pipelines

Docker

Kubernetes

Job description

3PILLAR GLOBAL Company

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and open collaboration drive our commitment to building breakthrough software solutions that power digital businesses. Our passion for products has gained us recognition in some of software’s most innovative spaces, including a spot on the Inc. 5000 list ten times, an Institute of Excellence in Sales (IES) Premier Sales Employer winner, a three-time winner of the Washington Post Top Workplaces Award, and notable features in Forbes, Fortune, and the Washington Business Journal.

We work with clients to build incredible innovative products as their development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset and Lightwave Methodology. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve for Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond.

WHAT WE BELIEVE

At 3Pillar, our core values – Intrinsic Dignity, Outsized Impact, Open Collaboration, and Continuous Improvement – drive our commitment to providing best in class product development services to high growth businesses across the globe. We’ve spent more than fifteen years building innovative software solutions. Our executive team has always held our values to the highest standard which has led to active participation on the Forbes Tech Council, a winner of the Ernst & Young Entrepreneur of the Year Award, and a spot on the Washington Business Journal’s Women Who Mean Business list.

RESPONSIBILITIES

• Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps.
• Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value.
• Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI). Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama.
• Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar). Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining.
• Evaluate build-vs-buy decisions and benchmark AI tools/platforms.
• Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies.
• Mentor technical teams and guide solution architects, data engineers, and ML engineers.
• Ensure ethical and responsible AI practices including bias detection, interpretability, and governance.
• Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization.
• Collaborate with leadership to align machine learning strategies with overall business objectives.
• Represent the organization at industry conferences, workshops, and events.
• Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges.

REQUIREMENTS

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects; a Ph.D. is highly desirable.
• Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration).
• Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning.
• Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
• Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
• Experience in Data Governance, Model Risk Management, and compliance.
• Extensive knowledge of machine learning theory, algorithms, and methodologies.
• Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization.
• Demonstrated ability to think strategically and drive innovation.

BENEFITS

• Good understanding of Software Product Development and how to integrate AI/ML components into a software product.
• Experience working with large datasets in a production environment.
• Published research in top-tier conferences or journals is a plus.

ADDITIONAL BENEFITS

• Flexible work environment – remote-first approach from interviews to onboarding.
• Global team learning from top talent across cultures, speaking English daily.
• Focus on well-being through fitness, mental health plans, and generous time off.
• Opportunities for career growth and development across projects, offerings, and industries.
• We are an equal opportunity employer committed to diversity and inclusion.

Join us and be part of a global tech community! Check out our LinkedIn and Careers page to learn more about being part of our #oneteam!