Agentic AI Architect at Elementskill
*** Location: USA – Remote**
*** About the Opportunity**
We are hiring an experienced AI/ML Architect to support large-scale enterprise AI initiatives for a global technology consulting environment. This role focuses on designing, developing, and deploying advanced AI/ML and Generative AI solutions across enterprise ecosystems.
The ideal candidate will bring strong expertise in AI architecture, cloud platforms, machine learning frameworks, NLP/LLMs, and scalable AI automation systems.
*** Key Responsibilities**
Design, develop, train, and deploy AI/ML models for predictive analytics, classification, and intelligent automation.
Build scalable AI-driven applications using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Work extensively with Large Language Models (LLMs), including fine-tuning and deployment for conversational AI and text generation use cases.
Develop Agentic AI systems capable of autonomous decision-making and adaptive workflows.
Implement NLP solutions using technologies such as Hugging Face, GPT models, and LangChain.
Build AI automation and chatbot solutions integrated with enterprise collaboration platforms and cloud AI services.
Work with cloud platforms including AWS, Azure, and Google Cloud for AI solution deployment and optimization.
Design and optimize ETL pipelines and large-scale data workflows using Spark and modern data engineering practices.
Manage structured and unstructured data using SQL, PostgreSQL, MySQL, MongoDB, and related technologies.
Create dashboards and business insights using visualization tools such as Tableau and Power BI.
Collaborate with cross-functional stakeholders to deliver scalable enterprise AI solutions.
*** Required Skills & Experience**
7+ years of experience in AI/ML development and architecture.
Strong hands-on coding expertise in Python and SQL.
Experience with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn.
Deep understanding of AI/ML algorithms, system design, and scalable application architecture.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong exposure to NLP, LLMs, Generative AI, and AI automation frameworks.
Experience with big data technologies such as Apache Spark and Snowflake is preferred.
Knowledge of database management, query optimization, and data warehousing concepts.
Strong communication, analytical thinking, and problem-solving capabilities.
Ability to work in fast-paced, collaborative, and innovation-driven environments.
*** Education**
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.