Senior Solutions Architect AI/ML

Description

Senior Solutions Architect AI/ML

Work Style: Hybrid - San Francisco Bay Area

Compensation: $150K - $160K USD annual

We are looking for a Senior Solutions Architect to lead our technical engagements with the teams building the future of AI. In this role, you will be the technical authority and trusted partner for our most strategic customers, the pioneers in AGI/ASI development.

You will be at the forefront of AI innovation, bridging advanced research with practical engineering. Your primary focus will be on designing sophisticated data solutions that accelerate the creation of next-generation AI. This involves providing technical thought

leadership and fostering strong collaborations with leading AI research teams globally.

The ideal candidate is a seasoned architect with deep expertise in Applied ML, a history of advising sophisticated technical customers, and a passion for solving the most complex data challenges in AI.

The Impact You'll Make

• Shape the Future of AI: Act as a strategic partner to AGI/ASI research teams, designing the foundational data solutions that will power breakthrough models.
• Drive Technical Strategy: Establish the architectural best practices and reference patterns for our most advanced customer segment, influencing both customer roadmaps and our own product direction.
• Be a Trusted Advisor: Build enduring, C-level and Principal Engineer-level relationships within top AI labs, becoming their go-to expert for complex data architecture challenges.
• Mentor and Lead: Elevate the technical acumen of the entire solutions team by mentoring colleagues and defining the gold standard for supporting high-stakes AI development.
  
  

Key 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.
  
  

Requirements

• 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.
• Experience working in a high-growth AI startup or a hyperscalers AI division is a significant plus.
  
  

TELUS Values

TELUS recognizes and embraces the importance of values in our ever-changing workplace.

To be successful, all applicants must demonstrate behaviors that are reflective of our values:

• We passionately put our customers and communities first
• We embrace changes and innovate courageously
• We grow together through spirited teamwork
  
  

At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.

Equal Opportunity Employer

At TELUS International, we are proud to be an equal-opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

About Company

TELUS Digital is the customer experience transformation partner to the world's most admired brands. Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer journeys, drive operational effectiveness, and scale AI solutions with meaningful value and positive impact.

We craft real-world solutions in the moments that matter, from customer acquisition to lifelong loyalty. Enabled by our global reach - spanning 78,000 experts in 33 countries - and deep industry expertise, we help over 600 organizations make the customer experience feel effortless.

Our solutions span Data & AI, Digital Experience & IT, CX Management and Trust & Safety. At the core of our innovation is Fuel iX™, an enterprise-grade generative AI platform that helps clients safely access and optimize leading LLMs to scale their own AI from pilot to production.

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.