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Senior Solutions Architect - Enterprise AI, Cloud, and Data Transformation

clevanoo llc United State
Remote
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AI Summary

Design scalable, secure, and innovative tech solutions. Collaborate with engineering teams and stakeholders. Support enterprise-wide AI initiatives across various platforms. Requires strong architecture experience and expertise in AI, cloud infrastructure, and data platforms.

Key Highlights
Remote work with travel to Buffalo, NY every 4-6 weeks
Support enterprise AI, cloud, and data transformation initiatives
Collaborate with engineering teams and business stakeholders
Design scalable, secure, and innovative technology solutions
Key Responsibilities
Design scalable, secure, and innovative technology solutions
Partner with engineering teams and business stakeholders to deliver enterprise-wide capabilities
Support AI integration into enterprise applications
Design and implement enterprise AI platform solutions
Design enterprise telemetry and monitoring solutions
Technical Skills Required
Enterprise Architecture AI and Machine Learning Cloud Infrastructure (Azure, AWS, Google Cloud) Data Platforms and Architecture
Benefits & Perks
100% Remote (U.S.) with travel
6-18 month contract (Mythos roles) or contract-to-hire (non-Mythos roles)

Job Description


Solutions Architect Opportunities – Remote (U.S.) with Travel

Location: 100% Remote (U.S.) with travel to Buffalo, NY every 4–6 weeks

Work Mode: Remote


We are hiring experienced Solutions Architects to support enterprise initiatives across AI, cloud infrastructure, observability, developer experience, and data platforms. These roles involve designing scalable, secure, and innovative technology solutions while partnering with engineering teams and business stakeholders to deliver enterprise-wide capabilities.


Open Positions

Solutions Architect – Gen AI

Seeking a Solutions Architect with experience in Generative AI, LLMs, Azure AI Foundry (preferred), AWS Bedrock or Google Vertex AI, APIs, event-driven architecture, and AI governance. Candidates should have strong solution architecture experience supporting engineering teams throughout the SDLC and integrating AI into enterprise applications.


Solutions Architect – Mythos SRE

Looking for a Solutions Architect with strong SRE and infrastructure architecture experience. Expertise in Azure, high availability, disaster recovery, observability, SLIs/SLOs, Infrastructure as Code, scalability, and AI platform reliability is required.


Solutions Architect – Mythos Foundation

Seeking a Solutions Architect to design and implement enterprise AI platform solutions. Experience with LLMs/SLMs, APIs, AI integration, telemetry, observability, security, governance, and enterprise solution architecture is required.


Data Solutions Architect

Looking for a Data Solutions Architect with strong Data Architecture experience supporting Commercial Banking. Candidates should have expertise in data modelling, enterprise data platforms, integration, and banking products and services.


Solutions Architect – Observability

Seeking a Solutions Architect with expertise in OpenTelemetry, logging, metrics, tracing, monitoring, SRE, and cloud platforms. Experience designing enterprise telemetry and monitoring solutions is required.


Solutions Architect – Tools & Developer Experience

Hiring a Solutions Architect with experience in Developer Tools, CI/CD, GitLab Duo, Azure DevOps, IDEs, APIs, Developer Experience (DevEx), GenAI-assisted development, and enterprise toolchain architecture.


Solutions Architect – Infrastructure

Looking for a Solutions Architect with expertise in Azure, hybrid infrastructure, networking, cloud architecture, SRE, Infrastructure as Code, disaster recovery, observability, and enterprise infrastructure solutions.


Additional Information

Location: 100% Remote (U.S.) with travel to Buffalo, NY every 4–6 weeks

Mythos Roles: 12–18 month contract

Non-Mythos Roles: 6–12 month contract-to-hire


Preferred Time Zone: EST/CST due to early morning meetings

If you're an experienced Solutions Architect looking to work on enterprise-scale AI, cloud, infrastructure, or data transformation initiatives, we'd love to hear from you. Please share your updated resume along with your current location, work authorization, and availability.


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