Overview
On Site
$70 - $75
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required
Skills
Enterprise Architecture
Azure AI/ML
Cognitive Services
OpenAI
Cognitive Search
Voice AI Architectures (STT
TTS
NLP/NLU)
Azure Speech Services
Containerized Environments (Docker
Kubernetes)
Technical Roadmaps
Client Engagement
Solution Design.
Job Details
Job Title: Technical Architect
Location: Santa Clara, CA (Onsite Hybrid)
Duration: Long term contract
Technical Architect
Key Attributes: Solution design, technical leadership, client engagement, documentation, cloud-native architecture.
Role Summary:
Defines and owns the solution architecture, ensuring alignment with business goals and technical feasibility across AI, cloud, and infrastructure components.
Defines and owns the solution architecture, ensuring alignment with business goals and technical feasibility across AI, cloud, and infrastructure components.
5+ years of experience in designing scalable AI/ML workflows using Azure services (Azure AI, Cognitive Services, Machine Learning, OpenAI, Cognitive Search).
2+ years of experience in integrating AI assistants into enterprise apps
Practical experience in speech recognition, TTS (Text-to-Speech), NLP/NLU (e.g., Azure Speech Services, Dialogflow, or custom LLM solutions).
Deep knowledge of voice AI architectures, speech-to-text (STT), text-to-speech (TTS), conversational design, and integration with Azure Communication Services or Cognitive Speech APIs.
2+ years of experience in integrating AI assistants into enterprise apps
Practical experience in speech recognition, TTS (Text-to-Speech), NLP/NLU (e.g., Azure Speech Services, Dialogflow, or custom LLM solutions).
Deep knowledge of voice AI architectures, speech-to-text (STT), text-to-speech (TTS), conversational design, and integration with Azure Communication Services or Cognitive Speech APIs.
Lead architecture design and technical roadmap.
- Capture and validate detailed requirements.
- Conduct design walkthroughs and secure approvals.
- Bridge gaps between client expectations and development execution.
- Support UAT and production deployments.
Required Skills & Experience:
- 10+ years in enterprise architecture.
- Deep expertise in Azure, AI/ML, and containerized environments including Voice related projects
- Strong documentation and presentation skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.