Our client is seeking a Technical Architect & Engineering Lead to support the delivery of modern cloud, data, and AI solutions across a wide range of client engagements. This is a high-impact role that blends hands-on engineering with solution architecture and delivery oversight.

You’ll be joining a boutique consultancy that works at the intersection of business strategy and advanced technology, helping organizations harness value from cloud-native platforms, machine learning, and generative AI.

This role offers the chance to shape and implement forward-thinking solutions that make an immediate business impact—ideal for someone who enjoys both building and leading.

This role requires hybrid work from the client's office in downtown Vancouver. Candidates must be elligible to work in Canada.

Responsibilities:

Architecture & Solution Design (25%)

• Design scalable, cloud-based solutions across modern data and AI platforms (e.g. GCP, Snowflake, Databricks)

• Align technical architecture with real-world business needs and implementation constraints

• Translate functional requirements into actionable engineering strategies, infrastructure, and design patterns

Hands-On Engineering & Delivery (50%)

• Develop and deploy core solution components (pipelines, APIs, model endpoints, orchestration layers)

• Prototype and productionize ML and GenAI solutions using modern tooling

• Implement engineering best practices, including DevOps, CI/CD, testing, and Infrastructure as Code (IaC)

Project Leadership & Client Engagement (15%)

• Lead technical execution across multi-stream delivery projects

• Collaborate directly with client-side stakeholders to ensure technical feasibility and alignment

• Act as a trusted technical advisor across engagements

Mentorship & Internal Enablement (10%)

• Provide mentorship to engineering and data team members

• Share knowledge through documentation, code reviews, and solution demos

• Contribute to reusable internal tools, frameworks, and playbooks

Qualifications:

• 5+ years of experience delivering cloud-native data or AI solutions, ideally in a consulting or multi-client environment

• Deep expertise in:

  • Data Engineering: ETL/ELT, APIs, orchestration, structured/unstructured data

  • Applied AI/ML: model development, deployment, tuning, and monitoring

  • GenAI Frameworks: such as LangChain, LlamaIndex, AgentSpace, etc.

  • Solution Architecture & DevOps

• Hands-on experience with at least one major cloud platform (GCP or Azure)

• Proficiency with DevOps practices, CI/CD workflows, Docker, and Infrastructure as Code (e.g., Terraform)

• Strong system design and documentation skills

• Comfortable engaging with both technical and non-technical stakeholders
  Familiarity with Agile or iterative delivery models

Preferred Qualifications:

• Exposure to multi-cloud environments (Azure, AWS)

• Familiarity with tools such as dbt, Looker, Airflow, or Dagster

• Experience with MLOps or Vector Databases (e.g., Pinecone, Weaviate)

• Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.