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Sr. Technology Enablement Engineer

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Onsite

Sr. Technology Enablement Engineer

Optomi

Sr. Technology Enablement Engineer

Skills

Google Cloud PlatformData EngineeringMachine LearningAIKubernetes

8 days ago

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Important information


Contract type:

Permanent

Salary:

$125,000 – $155,000 / year

Location:

Ann Arbor, MI, USA

Work mode:

Onsite

Published on:

15 October 2026

What they need


Position Summary:

Optomi, in partnership with a leading technology firm, is looking for a Solutions Architect to join their dynamic and innovative team. The Solutions Architect will play a pivotal role in driving the development and implementation of agentic architectures, focusing on AI, generative AI, and LLMs. This role requires hands-on coding and architecture design, engaging with business stakeholders to build prototypes and MVPs. The architect will mentor junior team members and manage the team's data engineering and infrastructure, utilizing on-prem GPUs and Google Cloud Platform.

What the right candidate will enjoy:

  • Working in a flexible, startup-style environment across global time zones.
  • Leading projects from ideation to completion with a team-oriented approach.
  • Engaging in continuous learning and growth opportunities.
  • Having the autonomy to experiment with emerging AI technologies and turn innovative ideas into scalable, production-ready solutions.
  • Collaborating with a small, cross-functional team that values initiative, knowledge sharing, and ownership.

What type of experience does the right candidate have:

  • Extensive experience with agentic architecture and AI/ML deployments.
  • Proficiency in Google Cloud Platform and on-prem infrastructures.
  • Background in production-level AI and ML projects.
  • Strong hands-on coding and architecture design skills, with experience building and scaling prototypes, MVPs, and enterprise solutions.
  • Experience mentoring junior engineers, with additional knowledge of platform engineering, Kubernetes, NVIDIA technologies, or PLM systems considered a plus.

What the responsibilities are of the right candidate:

  • Design and develop architectural solutions, prototypes, and MVPs
  • Mentor junior team members and foster a collaborative team culture
  • Engage with business partners to understand and meet project requirements
  • Manage data engineering and infrastructure effectively across on-premises environments and Google Cloud Platform.
  • Drive the development and deployment of agentic AI solutions, generative AI applications, and LLM-based systems, ensuring solutions are scalable, reliable, and production-ready.
  • Take ownership of technical solutions from concept through deployment while collaborating across teams to accelerate development and continuously improve engineering practices.

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