Solutions Architect - Enterprise

Description

Senior solutions architect role driving technical work with enterprise customers and the wider OEM and partner ecosystem around AI adoption and use across the company's full software and hardware range.

You connect real customer workloads to the company's hardware and software, helping developers and enterprises adopt and scale its platforms.

The role needs strong technical depth, a trusted-advisor approach, and growth into a strategic resource for the customers and partners you support.

You combine technical authority with managing technical partnerships and enablement, with a strong presales focus.

You help customers rethink and run enterprise business processes with agentic AI on the company platform.

The work is highly technical, covering generative AI, LLMs, AI frameworks and scalable software engineering, along with project management and managing internal and external relationships.

Responsibilities

• Advise customers on large or complex workloads, mapping them to the company's technology stack to reach measurable results.
• Co-design advanced, scalable architectures with enterprise customers, setting technical direction, integration milestones and deployment plans.
• Work hands-on with deep technical topics, designing, validating and supporting solutions for customer and partner success.
• Present to technical audiences and C-level executives, and represent the company at public events.
• Spot gaps between customer needs and the company's offerings, and feed these insights into internal product and engineering priorities.
• Lead technical engagements by troubleshooting complex issues, resolving them, and pushing for customers' technical needs.
• Build and run proofs of concept and demos, explaining complex topics, writing code for data pipelines, training AI and deep learning models, and deploying on container-based orchestrators.
• Drive enablement and platform adoption, helping developers and enterprises integrate the company's SDKs, frameworks and systems.
• Work with engineering and product teams to make deployments succeed and keep solutions improving.

Requirements

• Bachelor's or Master's degree, or equivalent experience, in computer science, engineering or a related field.
• 5+ years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture or product management, including 3-5+ years of hands-on work across multiple industry verticals and OEM platforms.
• Deep technical expertise in identifying and driving AI solutions with customers, with a record of product integrations and contributions to software and hardware platforms, systems and libraries.
• Ability to explain complex technical ideas clearly to both technical and non-technical audiences, from engineers up to C-level executives.
• Strong problem-solving skills, intellectual curiosity, and a commitment to customer success.
• Track record of balancing empathy for customer and partner needs with driving complex product decisions through trusted relationships.

Conditions

Support comes from the broader ANZ team at the company.