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AI/ML Architect – Generative AI & Agentic AI

Precision Technologies • United States
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Seeking an experienced AI/ML Architect to design, build, and deploy enterprise-grade AI/ML solutions, including Generative AI, Agentic AI, and cloud-based AI platforms. Responsibilities include defining AI architecture, leading ML pipeline development, and integrating AI into enterprise applications. Requires 12–15+ years of expertise in Machine Learning, Deep Learning, LLMs, and cloud technologies.

Key Highlights
Design and architect enterprise-grade AI/ML solutions
Lead development of Generative AI, Agentic AI, and LLM-based applications
Build scalable ML pipelines and implement MLOps practices
Key Responsibilities
Design and architect scalable enterprise AI/ML solutions
Lead development and implementation of ML, Deep Learning, and Generative AI solutions
Architect LLM-based applications using RAG, prompt engineering, and vector databases
Design and implement Agentic AI solutions and multi-agent workflows
Develop and optimize ML models for various predictive tasks
Build scalable data processing and AI pipelines using Python and PySpark
Implement LLM orchestration frameworks using LangChain, LangGraph, and LlamaIndex
Design AI model deployment, monitoring, versioning, and lifecycle management
Integrate AI/ML solutions with enterprise applications and cloud platforms
Establish AI governance, security, and compliance standards
Evaluate emerging AI technologies and recommend architecture improvements
Provide technical leadership, conduct architecture reviews, and mentor teams
Technical Skills Required
Machine Learning Generative AI Cloud Platforms (AWS/Azure/GCP)
Nice to Have
Experience with enterprise-scale Generative AI and Agentic AI architectures
Hands-on experience with multi-agent frameworks and autonomous AI workflows
Knowledge of LLM fine-tuning techniques (PEFT, LoRA)
Familiarity with Azure AI Foundry, AWS SageMaker, and Google Vertex AI
Experience in Responsible AI, AI governance, and model explainability

Job Description

We are looking for an experienced AI / ML Architect to design, architect, and implement enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-based AI platforms.

The candidate will be responsible for defining AI architecture, leading end-to-end AI solution development, building scalable ML pipelines, and integrating intelligent AI capabilities into enterprise applications.

Key Responsibilities

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