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TELUS Digital · 2 weeks ago

Senior Solutions Architect AI/ML

United States

Full-time

Remote

Senior Level, Lead/Staff

$150K/yr - $160K/yr

8+ years exp

TELUS Digital is a leading telecommunications service provider in Canada, seeking a Senior Solutions Architect to lead technical engagements in AI innovation. The role involves designing sophisticated data solutions for next-generation AI and collaborating with top AI research teams globally.

AnalyticsArtificial Intelligence (AI)ConsultingData Collection and LabelingInformation ServicesInformation TechnologyOutsourcing

Responsibilities

Lead deep architectural design sessions with AGI/ASI research and engineering teams to co-create data solutions that solve critical bottlenecks in the model development lifecycle

Architect and prototype bespoke, scalable data pipelines that meet the unprecedented scale, quality, and security requirements of foundation model training

Deliver compelling, technically-grounded presentations and whiteboarding sessions that articulate how our solutions fundamentally improve research velocity and model performance

Lead the execution of targeted proof-of-concept (POC) engagements, establishing data-driven success criteria that directly map to our customers' research objectives

Develop reference architectures, technical documents and best practice guides that establish our company as a thought leader in the AI data ecosystem

Serve as the primary technical liaison between our customers and our internal Product/Engineering teams, translating novel research needs into concrete product requirements

Qualification

Applied MLGenerative AICloud platformsTechnical consultingArchitectural designData solutionsTechnical presentationsCommunication skillsMentoringProblem-solving

Required

Master's or PhD in Computer Science, AI/ML, or a related technical field, or equivalent practical experience

8+ years of experience in a senior, customer-facing technical role such as Solutions Architecture, Technical Consulting, or Field Engineering

2+ years of hands-on experience architecting and building solutions in the AI/ML space, including a deep understanding of the modern ML lifecycle

Proven experience with Generative AI, including a deep, practical understanding of foundation models, RAG, fine-tuning, and agentic architectures

Experience architecting solutions for major cloud platforms (AWS, GCP, Azure)

Demonstrated ability to influence and build relationships with senior technical stakeholders (Principal Engineers, Research Scientists, VPs of Engineering)

A track record of leading complex technical projects (e.g., enterprise POCs, security reviews, and architectural assessments) from discovery to implementation

Exceptional communication and presentation skills, with the ability to distil complex technical concepts for audiences ranging from researchers to executives

Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done