Sr. AI Solution Architect (15yrs Exp. need) || Remote || Who are authorized work without Sponsorship | W2|C2C|C2H|
Title: Sr. AI Solution Architect
Location: Remote
Visa: Who are authorized work without Sponsorship
Duration: 12 Month Contract
AI Solution Architect is responsible for designing and leading end-to-end AI solutions from concept through production. This role owns architectural decisions across model interaction patterns, platform selection, security and governance, and operational readiness. The architect partners closely with engineering, security, product, and business teams to deliver scalable, secure, and cost-effective AI systems that meet real-world performance and reliability requirements.
Required Qualifications
Strong experience in solution or systems architecture with hands-on delivery of complex platforms.
Demonstrated expertise in AI/ML system design, including RAG, agents, and model inference patterns.
Experience designing secure, scalable distributed systems.
Strong understanding of cloud platforms, APIs, identity, and integration patterns.
Proven ability to balance performance, reliability, and cost in production architectures.
Excellent communication skills with the ability to influence technical direction across teams.
Experience with LLM platforms, vector databases, and AI orchestration frameworks.
Familiarity with AI security, privacy, and governance frameworks.
Experience designing systems with high availability and disaster recovery requirements.
Background in platform engineering, data engineering, or MLOps.
Prior technical leadership or architecture governance experience.
Apply Now
Apply Now
Location: Remote
Visa: Who are authorized work without Sponsorship
Duration: 12 Month Contract
AI Solution Architect is responsible for designing and leading end-to-end AI solutions from concept through production. This role owns architectural decisions across model interaction patterns, platform selection, security and governance, and operational readiness. The architect partners closely with engineering, security, product, and business teams to deliver scalable, secure, and cost-effective AI systems that meet real-world performance and reliability requirements.
Required Qualifications
Strong experience in solution or systems architecture with hands-on delivery of complex platforms.
Demonstrated expertise in AI/ML system design, including RAG, agents, and model inference patterns.
Experience designing secure, scalable distributed systems.
Strong understanding of cloud platforms, APIs, identity, and integration patterns.
Proven ability to balance performance, reliability, and cost in production architectures.
Excellent communication skills with the ability to influence technical direction across teams.
Experience with LLM platforms, vector databases, and AI orchestration frameworks.
Familiarity with AI security, privacy, and governance frameworks.
Experience designing systems with high availability and disaster recovery requirements.
Background in platform engineering, data engineering, or MLOps.
Prior technical leadership or architecture governance experience.
Apply Now
Apply Now