Solutions Architect (AI) — Hybrid
Compensation
$80/hour
Employment type
Full-time
Work setting
On-site
Location
Buffalo, NY
Schedule
Day shift
Posted
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Job overview
The Solutions Architect (AI) role is hybrid, with four days a week in the office in Buffalo, NY. The target rate is $80.00 per hour. The architect supports the Mythos AI platform and works as an extension of the AI Enterprise Architect. The role translates enterprise-level designs into detailed physical designs and guides engineering teams in implementing AI platform capabilities. It helps ensure model integration, access controls, APIs, and embedded AI align with architecture patterns, security, governance, and operational requirements.
What you'll do
- Provide architecture guidance for model access and lifecycle integration, telemetry and observability, guardrail enforcement, and embedding AI in enterprise applications
- translate model selection frameworks into design guidance
- partner with engineering teams through the software development lifecycle
- support implementation decisions and architecture standards
- promote secure engineering and reliability practices
- collaborate with enterprise architecture, platform engineering, and SRE teams
- produce architecture diagrams, data flow maps, security models, and technical documentation
- guide Agile and DevOps teams on CI/CD, automated testing, and infrastructure as code.
What we're looking for
- Skills & competencies
- solutions architectaihybridbuffalo ny$80/hourmythos ai platformmodel integrationenterprise architectureplatform engineeringsresecurity and governanceci/cd
- Work arrangement
- Weekend coverage required
Why this role
Hybrid schedule with four office days weekly; focuses on the Mythos AI platform and enterprise AI architecture standards.
About the employer
Imagine Staffing Technology is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Computer Systems Design Services
- Occupation code
- 15-1299.08
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Listing ID: b5f7dbc5-d287-4f96-a23e-6233d61b22d3