Agentic- AI Architect

WinWire; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

WinWire is seeking an experienced AI/ML engineer in Santa Clara, CA to design, develop, and deploy advanced AI models for real-world applications. You will collaborate with data engineers and software teams, deploy AI solutions in production, and continuously improve model performance across cloud platforms.

The ideal candidate has 6–10 years in AI/ML, hands-on experience with LLMs and NLP, and a strong foundation in Python, TensorFlow/PyTorch, and API-driven pipelines.

Qualifications

• Bachelor or Master in Computer Science, AI/ML, Data Science, or related field.
• Advanced coursework or certifications in machine learning, deep learning, or NLP.
• Strong mathematical and statistical foundation.

Responsibilities

• Design, develop, and deploy advanced AI models to meet business requirements.
• Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions.
• Evaluate model performance, fine-tune, and ensure scalability and reliability.
• Research emerging AI/ML technologies and propose innovative solutions.
• Mentor junior AI engineers and review code/models for best practices.

Skills

Python

PyTorch

TensorFlow

LLMs/NLP

Cloud AI Platforms

Agentic AI frameworks

Model evaluation metrics

API integration & pipelines

Education

Bachelor's or Master's in CS/AI/DS

Advanced ML/NLP coursework

Tools

Jira

Azure DevOps

LangChain

LangGraph

A2A

MCP

Container Apps/AKS

Job description

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field

Advanced coursework or certifications in machine learning, deep learning, or NLP

Strong mathematical and statistical foundation

Experience Range

• 6–10 years of experience in AI/ML/Deep Learning model development
• 2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
• 3-5 years of experience deploying AI solutions in production environments

Primary (Must have skills)* - To be Screened by TA Team

• 5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
• 3-5 years of experience designing, training, and fine-tuning large language models or AI models, speech/voice AI systems, Realtime voice pipeline
• 5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, GCP AI)
• 2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration
• 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
• 2-3 years experience in Azure services — Azure AI Speech and Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights

Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)

Key technical skills :

• Design, develop, and deploy advanced AI models to meet business requirements
• Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
• Evaluate model performance, fine-tune, and ensure scalability and reliability
• Research emerging AI/ML technologies and propose innovative solutions
• Mentor junior AI engineers and review code/models for best practices

Communication Skills:

• Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
• Present complex model results in a concise and actionable manner

Interpersonal Skills:

• Collaborate effectively with cross-functional teams
• Provide constructive feedback and mentor junior team members

Problem-Solving and Analytical Thinking:

• Identify bottlenecks in model performance and propose solutions
• Troubleshoot deployment or integration challenges proactivelyAnalyze data patterns and model outputs to derive insights
• Apply structured thinking to optimize AI workflows and pipelines

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

Expected Outcome

Secondary Skills to be planned Post Hiring - Training Plan

• Advanced LLM techniques, prompt engineering, and fine-tuning strategies
• AI ethics, fairness, and responsible AI deployment
• Continuous learning on emerging AI frameworks and architectures
• LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.