Agentic AI-Sr Architect

Noblesoft Technologies; Santa Clara (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Noblesoft Technologies in Santa Clara, CA is seeking a Sr Architect for Agentic AI to lead design, development, and deployment of advanced AI models in production environments.

The role requires 6–10 years in AI/ML, hands-on with LLMs/NLP, and 3–5 years deploying AI solutions. Strong cloud AI platform experience and agentic frameworks are expected. Hybrid work model with collaboration across teams.

Qualifications

• 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.

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

speech/voice AI

Cloud AI platforms

LangChain

LangGraph

A2A

MCP

Multi-agent orchestration

Model evaluation

Bias detection

Optimization

APIs integration

Azure AI Speech

Azure OpenAI

Azure AI Translator

Azure services

Communication

Presentation

Cross-functional collaboration

Mentoring

Troubleshooting

Data analysis

Structured thinking

Agile/Scrum

Jira

Azure DevOps

Education

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

Tools

AWS Sagemaker

Azure ML

GCP AI

Job description

Position: Agentic AI-Sr Architect

Location: Santa Clara, CA (Hybrid)

Job Type: Full time

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

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 proactively
• Analyze 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.

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.