Senior Data & AI Solutions Architect — Presales & Delivery

TELUS Digital; Boston, Northern (MA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

TELUS Digital is seeking a Senior Manager, Solutions Architecture with a focus on Data & AI to bridge pre‑sales strategy and delivery. You will shape, architect, and launch impactful data/AI solutions aligned with client goals and business needs.

You will engage with prospective clients to explore capabilities, lead architecture for engagements, and collaborate with delivery teams to realize client visions. Expect involvement in cloud data platforms, MLOps, and scalable data product design.

Qualifications

• Deep experience with cloud data platforms and data ecosystems.
• Knowledge of data ingestion, ETL/ELT, warehousing, and real‑time analytics.
• Familiarity with MLOps concepts and modern AI tooling.
• Ability to quantify data and AI project scope and budgets.
• Excellent communication to translate complex data topics for executives.

Responsibilities

• Presale: scope, design, and plan data/AI capabilities for clients.
• Delivery: lead architecture and discovery projects; design pipelines and ML architectures.
• Subject matter expertise: own a data/AI vertical, platform selection, and implementation support.
• Roving catalyst: provide architectural guidance across project teams.

Skills

Databricks

Snowflake

Cloud AI/ML

Cloud Platforms

MLOps

Docker

Kubernetes

Data Warehousing

Project estimation

Tech leadership

Tools

Snowflake

AWS Bedrock

SageMaker

Azure ML

Vertex AI

Docker

Kubernetes

Job description

TELUS Digital is seeking a Senior Manager, Solutions Architecture with a focus on Data & AI to bridge pre‑sales strategy and delivery. You will shape, architect, and launch impactful data/AI solutions aligned with client goals and business needs.

You will engage with prospective clients to explore capabilities, lead architecture for engagements, and collaborate with delivery teams to realize client visions. Expect involvement in cloud data platforms, MLOps, and scalable data product design.