Forward Deployed Engineer, Data, ML & AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Directly deploy into client environments to gain insights into domain logic, data pipelines, and architectural limitations.

• Take ownership of the complete delivery process, from data discovery and schema design to pipeline deployment and model integration.

• Collaborate with client business leaders to assess existing technology infrastructures.

• Transform outdated data configurations into modern lakehouses, event-driven streaming architectures, and scalable vector/graph databases.

• Implement Spec-Driven Development utilizing Generative AI tools.

• Compose structured specifications for data models, API schemas, transformations, and evaluation metrics.

• Design and establish GenAI workflows, RAG pipelines, and autonomous AI agents.

• Create evaluation frameworks to assess model accuracy, latency, and manage hallucination control.

• Construct, deploy, and sustain ML training and inference pipelines.

• Ensure continuous integration and delivery (CI/CD) for models and data workflows.

• Design and review production code across data-centric languages and frameworks.

• Develop reusable agentic development patterns, MLOps practices, data reliability frameworks, and SDD methodologies.

• Enhance customer teams through enablement and knowledge transfer.

⛳️ Requirements

• Over 10 years of experience as a Principal Data Engineer, Lead ML Engineer, or Enterprise Data Architect focusing on building and scaling distributed data and ML platforms.

• Exceptional executive presence and communication skills for engaging with technical teams and business stakeholders under pressure.

• Mastery of distributed computing technologies, including AWS Glue, Apache Spark, and Databricks.

• Experience with contemporary data warehouses like Redshift and Snowflake.

• Familiarity with data modeling tools such as dbt and orchestration tools like Airflow.

• Practical experience in fine-tuning, evaluating, and deploying LLMs, embedding models, and vector stores.

• Advanced skills in Python and complex SQL queries.

• Proficiency in at least two additional programming languages such as Scala, Go, Rust, or TypeScript.

• Experience utilizing natural language and structured specifications with tools like Claude Code, Cursor, or Copilot to create data pipelines, schemas, and API adapters.

• Hands-on experience with AWS or Azure cloud-native data services.

• Experience with Docker, Kubernetes, and Terraform.

• Willingness to travel occasionally to customer locations.

• Preferred: prior roles as a Forward Deployed Engineer, Data Architect, or in technical consulting/professional services.

• Preferred: experience in migrating legacy on-premise data warehouses or Hadoop environments to modern cloud lakehouses.

• Preferred: knowledge of data governance, HIPAA, SOC2, GDPR, and privacy-preserving machine learning practices.

🏝️ Benefits

• Competitive compensation package.

• Retirement Savings Matching Program (RRSP).

• Access to the latest technology.

• Partnership with Perkopolis Discounts.

• Remote-first work environment.

• Flexible work hours and location.

• Paid parental leave options.

• Employer-covered health and dental premiums.

• GreenShield+ Counseling for Mental Health.

• $500 annual Health Care Spending Account.

• Peer recognition rewards.