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Senior Solutions Architect AI​/ML

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: TELUS Digital
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
  • Engineering
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 160000 USD Yearly USD 150000.00 160000.00 YEAR
Job Description & How to Apply Below

Location

San Francisco Bay Area

Work Style

Hybrid - San Francisco Bay Area

Compensation

$150K - $160K USD annual

Description

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 white‑boarding 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
  • We passionately put our customers and communities first.
  • We embrace changes and innovate courageously.
  • We grow together through spirited teamwork.
Equal…
Position Requirements
10+ Years work experience
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