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# SOLUTION ARCHITECT

- **Company:** Wipro Limited
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Salary:** $80,000.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Data Cleansing, Python (Programming Language), Machine Learning, Tensorflow, Workflow Management Systems, Scripting, Feature Engineering, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Keras, Git, Containerization, Information Technology, HuggingFace, Machine Learning Operations, Api Design, Software Version Control, Docker
- **Published:** July 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=651e81565d47b677

## About the Role

Familiarity with LLMs, prompt engineering, and workflow orchestration.
Exposure to RAG systems and basic knowledge of 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 generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
Understanding of version control systems (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). (Advantageous)

Required Soft Skills:
Strong teamwork and communication abilities.
Willingness to learn new AI/ML technologies and frameworks.
Analytical mindset and attention to detail.
Openness to feedback and continuous improvement., Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a related field.
3-5 years of professional experience in AI/ML development, with exposure to Generative AI.
Experience delivering AI/ML projects in a collaborative setting.
Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.

Mandatory Skills: Generative AI .

Experience: 8-10 Years .

## Description

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.


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