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# SOLUTION ARCHITECT L1

- **Company:** Wipro Limited
- **Location:** Torrance, CA, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $173,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Integration Architecture, Big Data, Extract Transform Load (ETL), Identity and Access Management, Tensorflow, Systems Integration, Cloud Platform System, Pytorch, Snowflake, Apache Spark, Amazon Virtual Private Cloud (VPC), Cloudformation, Integration Frameworks, Data Lakehouse, Terraform, Serverless Computing, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b76ddd95905ae1e8

## About the Role

Required Skills: · Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS). · Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing. · AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows. · Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.

Preferred Qualifications: · AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect - Professional or AWS Certified Data Engineer). · Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes. · AI Integration: Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.

Mandatory Skills: Databricks .

Experience: 8-10 Years .

## Description

Enterprise Data and AI Architect to drive the Data and AI initiatives from ideation , design and deployment., Key Responsibilities: · AI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. · AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps). · Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. · AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.


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