SOLUTION ARCHITECT L1

Wipro Limited
Torrance, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Data Architecture Identity and Access Management Machine Learning Tensorflow Cloud Platform System Pytorch Large Language Models Snowflake Apache Spark
+7 more
Generative AI Amazon Virtual Private Cloud (VPC) Cloudformation Data Lakehouse Terraform Serverless Computing Databricks

Job description

Experteer Overview In this role you will lead the design and deployment of Data and AI initiatives for enterprise-scale environments. You will shape AI/ML strategy and build scalable pipelines for LLMs and analytics, while governing AWS cloud deployments and cost. You will transform legacy data silos into modern data architectures to enable real-time insights, with emphasis on AI ethics and security. This is an opportunity to influence transformative data and AI programs within a global, innovation-driven services company. Compensation / Benefits * Design architectural framework to scale AI/ML models and pipelines (LLMs, Generative AI, predictive analytics) * Lead AWS environments governance including VPC, serverless (Lambda), and FinOps optimization * Overhaul legacy data silos into Data Lakehouse/Data Mesh for real-time BI * Establish data privacy guardrails and enforce AWS security (IAM, GuardDuty) Tasks * Cloud Platform proficiency in AWS (S3, SageMaker, Redshift, Glue, Bedrock, EKS) * Experience with Snowflake, Databricks, or Apache Spark for large-scale processing * Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into workflows * Infrastructure as Code using Terraform or AWS CloudFormation * 8-10 years of experience * Databricks mandatory Key requirements * medical and dental benefits * disability insurance * paid time off including sick leave * other paid and unpaid leave options

Requirements

AWS * Experience with Snowflake, Databricks, or Apache Spark for large-scale processing * Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into workflows * Infrastructure as Code using Terraform or AWS CloudFormation * 8-10 years of experience * Databricks mandatory Key requirements * medical and dental benefits * disability insurance * paid time off including sick leave * other paid and unpaid leave options

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