Overview
Skills
Job Details
Technical Architect AI/ML(AZURE)
Location :: Santa Clara, CA
Duration :: 6+ Months
Job Description ::
Educational Qualification*
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience Range
10+ years in enterprise architecture.
Primary (Must have skills)*
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.
Deep expertise in Azure, AI/ML, and containerized environments including Voice related projects
Strong documentation and presentation skills
Deep expertise in Azure, AI/ML, and containerized environments including Voice related projects
Job Description of Role
Key technical skills :
- 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.
Soft skills/other skills
Communication Skills:
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities
Secondary Skills
Expertise in Kubernetes (AKS), Docker, and microservices for AI model serving.
Strong grasp of MLOps/LLMOps practices (CI/CD for ML, model registry, monitoring, retraining).
Familiarity with multi-cloud/hybrid setups and infrastructure-as-code (e.g., Terraform, Bicep).
Understanding of performance tuning, scalability, and cost optimization for AI workloads
Best Regards,
Thanks,
Abdul Samad