Agentic AI Architect

NewRocket

About The Position

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value. We #GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! We are hiring an AI/ML Architect to join our team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. We are #GoingBeyond Come join our crew!

Requirements

7+ years of experience applying AI to practical uses.
Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Deep knowledge of algorithms, OOP, and functional design principles.
Proficiency with Pandas, NumPy, Matplotlib, and Seaborn.
Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
Experience with big data processing using Apache Spark and Snowflake.
NLP expertise with Hugging Face and cloud AI services
Strong understanding of database management, query optimization, and data warehousing.
Experience with data visualization tools such as Tableau and Power BI.
Ability to work in a collaborative environment and adapt to new AI technologies.
Strong analytical and problem solving skills.
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.

Responsibilities

Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.
Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.
Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
Design and optimize ETL pipelines for data quality management, transformation, and validation.
Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization.
Create interactive data visualizations using Tableau and Power BI to drive business insights.
Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.
Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.
May perform additional duties as assigned.