GenAI Solutions Architect (Contract)

Wipro Technologies; Tampa (FL); On-site; USD 80,000 - 158,000; Full time

Job summary

Wipro Limited in the United States is seeking a Solution Architect to design cross-system interactions and business logic integration, ensuring interoperability across multiple applications for AI-enabled workflows.

You will analyze requirements with stakeholders, craft architecture designs, assess integration needs, and support deployment and validation in production, including collaboration with data scientists and engineers.

Qualifications

• Experience with LLMs, prompt engineering, and workflow orchestration.
• Exposure to RAG systems and hybrid search techniques.
• Exposure to Multi-Agent systems.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Experience with LangChain, Hugging Face, LlamaIndex is a plus.
• Understanding of Git.
• Awareness of AI compliance, data privacy, and responsible AI principles.
• Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).

Responsibilities

• Contribute to prompt engineering and development of AI-powered workflows.
• Assist with the deployment, monitoring, and maintenance of AI models in production environments.
• Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
• Perform data preprocessing, feature engineering, and API development for AI applications.
• Participate in code reviews, testing, and documentation to ensure quality and reliability.
• Stay updated with advancements in GenAI and share relevant learnings with the team.

Skills

LLMs

Prompt engineering

Workflow orchestration

RAG systems

Hybrid search

Multi-Agent systems

Docker

Python

PyTorch

TensorFlow

Keras

Git

AI compliance

Data privacy

Tools

LangChain

Hugging Face

LlamaIndex

Docker

Job description

Wipro Limited in the United States is seeking a Solution Architect to design cross-system interactions and business logic integration, ensuring interoperability across multiple applications for AI-enabled workflows.

You will analyze requirements with stakeholders, craft architecture designs, assess integration needs, and support deployment and validation in production, including collaboration with data scientists and engineers.