AI Architect

AI Architect

Full-Time / Direct Hire / FTE

Santa Clara, CA 95054 (onsite)

Skills/Experience

• 6–10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud Azure AI platforms; 3-5 years of experience deploying AI solutions in production environments
• 2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration
• 2-3 years of experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments
• 2-3 years in Azure services - Azure AI Speech & Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights
• 3-5 years of experience designing, training, and fine-tuning LLMs or AI models, Speech/Voice AI systems, Realtime voice pipeline

·        2 years of experience on LLMOps - tracing, cost-per-minute telemetry, model routing, observability, governance and drift detection,  layered evals (WER, entity F1, COMET) and CI regression gates

• 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
• 5 years of experience in integrating AI models into applications via APIs or pipelines
• 5 years of experience in Python, PyTorch, TensorFlow, or similar frameworks
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field; Strong mathematical and statistical foundation; Preferred - Advanced coursework or certifications in ML, DL, or NLP
• Preferred/Secondary Skills – Advanced LLM techniques, prompt engineering, and fine-tuning strategies; AI ethics, fairness, and responsible AI deployment; Continuous learning on emerging AI frameworks and architectures; Governed streaming backbone — Kafka topic/partition design, exactly-once semantics, Schema Registry and schema evolution, CDC/connectors, Stream Governance, and stateful Flink (SQL, windowing, watermarks, temporal joins); AI-native stream layer — Flink AI functions, Streaming Agents with MCP tool calling, Real-Time Context Engine, Private Link

Role / Job Description

• Design, develop, and deploy advanced AI models to meet business requirements
• Research emerging AI/ML technologies and propose innovative solutions
• Evaluate model performance, fine-tune, and ensure scalability and reliability
• Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
• Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
• Mentor junior AI engineers and review code/models for best practices
• Identify bottlenecks in model performance and propose solutions
• Troubleshoot deployment or integration challenges proactively
• Analyze data patterns and model outputs to derive insights
• Apply structured thinking to optimize AI workflows and pipelines
• Present complex model results in a concise and actionable manner
• Collaborate effectively with cross-functional teams
• Experience in Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
• Provides regular updates, proactive and due diligent to carry out responsibilities
• Provide constructive feedback and mentor junior team members; Problem-Solving and Analytical Thinking