Optomi
Sr. Technology Enablement Engineer
Skills
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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