Agentic AI Architect
Tata Consultancy Services Limited
Atlanta, United States of America
30 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 150KJob location
Atlanta, United States of America
Tech stack
Agile Methodologies
Artificial Intelligence
Google BigQuery
Cloud Computing
Information Engineering
Data Retrieval
Github
Python
Machine Learning
Natural Language Processing
TensorFlow
Systems Architecture
Google Cloud Platform
Feature Engineering
Data Ingestion
PyTorch
Large Language Models
Generative AI
Scikit Learn
Google Cloud Functions
Software Version Control
Programming Languages
Data Generation
Job description
- Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems.
- Architect and implement core systems for agent-based AI workflows.
- Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems.
- Develop and optimize ML models, pipelines, and orchestration logic.
- Drive technical strategy, tooling, and infrastructure decisions.
- Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.).
Requirements
Do you have experience in Version control?, * Programming Languages: Proficiency in Python is essential.
- Agentic AI: Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
- Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML.
- Generative AI: Hands-on experience with generative AI models, RAG (Retrieval Augmented Generation) architecture, and Natural Language Processing (NLP).
- Cloud Platforms: Familiarity with Google Cloud Platform (GCP).
- Data Engineering: Proficiency in data preprocessing and feature engineering.
- Version Control: Experience with GitHub for version control.
- Data Science Practices: Skills in building models, testing/validation, and deployment.
- Collaboration: Experience working in an Agile framework.
- RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
- Google Cloud Platform.
Benefits & conditions
Pulled from the full job description
- Pet insurance
- Health insurance
- Vision insurance
- Dental insurance
- Commuter assistance, * Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.