AI Architect

WinWire Technologies, Inc.

• $150K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-10 years in AI/ML model development; 5 years with Cloud AI (AWS, Azure, GCP)
  • 2-3 years with Large Language Models (LLMs), NLP, voice AI systems in production
  • 3-5 years designing and fine-tuning LLMs or AI models, particularly for voice
  • 2+ years with Agentic AI frameworks (LangChain, LangGraph, etc.)
  • Knowledge of model evaluation metrics and bias detection for optimization
  • 5 years integrating AI models via APIs or pipelines
  • 5 years with Python and deep learning frameworks like PyTorch or TensorFlow
  • 2-3 years familiarity with Azure services including AI Speech & Translator.

Responsibilities

  • Design, develop, and deploy AI models to fulfill business needs
  • Evaluate and fine-tune model performance for scalability and reliability
  • Communicate AI concepts to varied stakeholders clearly and effectively
  • Identify and resolve model performance bottlenecks proactively
  • Analyze data patterns and model outputs to extract insights
  • Present model results succinctly, ensuring actionable insights
  • Mentor junior engineers and uphold coding best practices
  • Work in Agile/Scrum using tools such as Jira or Azure DevOps.

Benefits

  • Opportunities for professional development and growth
  • Flexible work environment with remote options
  • Collaborative team culture fostering innovation
  • Access to cutting-edge AI/ML resources and technologies
  • Participation in exciting AI projects with real-world impact.
Full Job Description
Full-Time / Direct Hire / FTE

Skills/Experience
  • 6-10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI)
  • 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments
  • 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 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
  • 5 years of experience in Python, PyTorch, TensorFlow, or similar frameworks
  • 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
  • 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
  • Secondary / Preferred Skills - Advanced LLM techniques, prompt engineering, and fine-tuning strategies; Continuous learning on emerging AI frameworks and architectures; AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.

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
  • Provide constructive feedback and mentor junior team members; Problem-Solving and Analytical Thinking
  • Experience in Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities

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