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 leadin

g.This role requires hybrid work from the client's office in downtown Vancouver. Candidates must be eligible to work in Canad

**a.

Responsibilit** i

es:Architecture & Solution Design (2

• 5%)Design scalable, cloud-based solutions across modern data and AI platforms (e.g. GCP, Snowflake, Databric
• ks)Align technical architecture with real-world business needs and implementation constrai
• ntsTranslate functional requirements into actionable engineering strategies, infrastructure, and design patte

rnsHands-On Engineering & Delivery (5

• 0%)Develop and deploy core solution components (pipelines, APIs, model endpoints, orchestration laye
• rs)Prototype and productionize ML and GenAI solutions using modern tool
• ingImplement engineering best practices, including DevOps, CI/CD, testing, and Infrastructure as Code (I

aC)Project Leadership & Client Engagement (1

• 5%)Lead technical execution across multi-stream delivery proje
• ctsCollaborate directly with client-side stakeholders to ensure technical feasibility and alignm
• entAct as a trusted technical advisor across engageme

ntsMentorship & Internal Enablement (1

• 0%)Provide mentorship to engineering and data team memb
• ersShare knowledge through documentation, code reviews, and solution de
• mosContribute to reusable internal tools, frameworks, and playbo

**oks

Qualificat** i

• ons:5+ years of experience delivering cloud-native data or AI solutions, ideally in a consulting or multi-client environ
• mentDeep expertise
• in:Data Engineer ing: ETL/ELT, APIs, orchestration, structured/unstructured
• dataApplied AI /ML: model development, deployment, tuning, and monito
• ringGenAI Framewo rks: such as LangChain, LlamaIndex, AgentSpace,
• etc.Solution Architecture & De
• vOpsHands-on experience with at least one major cloud platform (GCP or Az
• ure)Proficiency with DevOps practices, CI/CD workflows, Docker, and Infrastructure as Code (e.g., Terraf
• orm)Strong system design and documentation sk
• illsComfortable engaging with both technical and non-technical stakehol
• dersFamiliarity with Agile or iterative delivery mo

**dels

Preferred Qualificat**

• ions:Exposure to multi-cloud environments (Azure,
• AWS)Familiarity with tools such as dbt, Looker, Airflow, or Da
• gsterExperience with MLOps or Vector Databases (e.g., Pinecone, Weav
• iate)Google Cloud certifications (e.g., Professional Data Engineer, ML Engi

neer)