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Fiddler AI · 2 months ago

Solutions Architect, Customer Success - Canada (Remote)

Canada

Full-time

Remote

Senior Level

CAD$200K/yr - CAD$240K/yr

5+ years exp

Fiddler AI is a pioneering company focused on building trust in AI solutions. The Solutions Architect in Customer Success will ensure customers achieve measurable outcomes from their AI investments by serving as a technical expert and trusted advisor.

AnalyticsArtificial Intelligence (AI)Big DataEnterpriseMachine LearningSoftware

Growth Opportunities

Responsibilities

Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met

Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler

Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy

Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle

Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines

Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers

Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth

Qualification

AI ObservabilityMachine LearningData IntegrationCloud PlatformsData Science ConceptsProject ManagementCommunication SkillsCollaborationCustomer-first MindsetContinuous Learning

Required

Bachelor's degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience

2+ years of hands-on experience deploying, monitoring, or maintaining ML models in production environments

Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences

Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities

Demonstrated collaboration across cross-functional teams—Product, Engineering, and Delivery—to drive customer outcomes

A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value

Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility

Preferred

Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems

Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo

Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn

Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP)

Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real-time scoring via REST APIs)

Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent-based systems