Enterprise GenAI & ML Solutions Architect

Amazon; Minneapolis (MN); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) in Minneapolis, MN seeks a Sr. GenAI & ML Specialist Solutions Architect to translate customer challenges into scalable AWS Generative AI and ML architectures.

You will design, deploy, and optimize targeted solutions for enterprise customers, collaborating with senior engineers, data scientists, and executives to shape strategic AWS offerings, tooling, and reference architectures. You will engage with partners, lead proof‑of‑concepts, and drive complex engagements,

Qualifications

• 8+ years in software, cloud, systems, or data & analytics.
• 3+ years in design, implementation, or consulting for apps/infrastructures.
• 6+ years IT development or consulting in software/Internet industries.

Responsibilities

• Collaborate with business development to provide technical input into go-to-market strategy and support field marketing through technical events, campaigns, and customer engagements.
• Lead complex technical problem solving to unblock customers' most critical workloads.
• Represent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams.
• Act as a thought leader in Generative AI by sharing best practices through AWS blogs, whitepapers, reference architectures, code samples, and public speaking engagements such as AWS Summits and AWS re:Invent.
• Guide and support an internal AWS community of technical subject matter experts aligned to your customers, including the creation of field enablement materials for the broader Solution Architect population.

Skills

8+ years tech exp

3+ years design/implementation

6+ years IT development/consulting

Job description

Amazon Web Services (AWS) in Minneapolis, MN seeks a Sr. GenAI & ML Specialist Solutions Architect to translate customer challenges into scalable AWS Generative AI and ML architectures.

You will design, deploy, and optimize targeted solutions for enterprise customers, collaborating with senior engineers, data scientists, and executives to shape strategic AWS offerings, tooling, and reference architectures. You will engage with partners, lead proof‑of‑concepts, and drive complex engagements,