Specialist Solutions Architect - GenAI & LLM

Menlo Ventures; Toronto; On-site; CAD 132,000 - 234,000; Full time

Job summary

A leading AI company is seeking a Specialist Solutions Architect focusing on ML Engineering in Toronto. You will architect and support production-level ML workloads, enhance customer data science capabilities, and serve as a technical advisor for GenAI solutions. Ideal candidates have over 5 years of industry ML experience and a graduate degree in a quantitative field. The salary range is CAD 132,000 — CAD 233,500.

Benefits

Comprehensive benefits

Diversity and inclusion commitment

Qualifications

• 5+ years of hands-on industry ML experience in roles like ML Engineer or Data Scientist.
• Graduate degree in a quantitative discipline or equivalent practical experience.
• Ability to teach technical concepts to both non-technical and technical audiences.

Responsibilities

• Architect production level ML workloads for customers using our unified platform.
• Provide advanced technical support to Solution Architects during technical sales.
• Collaborate with product and engineering teams on product priorities and roadmaps.

Skills

Hands-on industry ML experience

Experience with natural language processing techniques

Ability to communicate technical concepts

Collaboration and passion for learning

Education

Graduate degree in a quantitative discipline

Tools

Apache Spark

HuggingFace

Langchain

OpenAI

Job description

Job Title

Specialist Solutions Architect (SSA) - ML Engineering

Location

Toronto, ON

Impact You Will Have

• Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML SME community in Databricks
• Collaborate with the product and engineering teams to represent the of the customer, define priorities and influence the product roadmap, with the adoption of Databricks’ ML offerings
• Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
• Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring

What We Look For

• 5+ years of hands‑on industry ML experience in at least one of the following:
  • ML Engineer: Develop production‑grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
  • Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine‑tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and teaching technical concepts to non‑technical and technical audiences alike
• Passion for collaboration, life‑long learning, and driving our values through ML
• [Preferred] 2+ years customer‑facing experience in a pre‑sales or post‑sales role
• [Preferred] Experience working with Apache Spark™ to process large‑scale distributed datasets
• Can meet expectations for technical training and role‑specific outcomes within 3 months of hire
• Can travel up to 30% when needed

Pay Range Transparency

Canada Pay Range: $132,000 — $233,500 CAD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.