Agentic AI Architect
Role details
Job location
Tech stack
Job description
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., * 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., The Solution Architect will design AI-driven solutions to address customer challenges, guide implementations, and ensure scalable architectures integrating various technologies while maintaining customer engagement.
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.
Education:
- Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field.
Benefits & conditions
18 Days Ago In-Office or Remote 130K-216K Annually Senior level 130K-216K Annually Senior level Consulting Design and implement AI solutions for federal clients, focusing on agentic AI systems, generative AI applications, and machine learning pipelines while ensuring security and scalability in cloud environments., 4 Days Ago In-Office or Remote 152K-242K Annually Senior level 152K-242K Annually Senior level Artificial Intelligence * Computer Vision * Hardware * Robotics * Metaverse As a Solutions Architect at NVIDIA, you'll develop and deploy AI systems, optimize performance, and collaborate with partners to integrate AI solutions into enterprise environments. Top Skills: C/C++KubernetesLinuxNemo Agent ToolkitNemo FrameworkNemo RetrieverNvidia NimOpenshiftPythonPyTorchTensorFlow
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