AI/ML Architect

Job Title: AI/ML Architect


City: Torrance


State/Province: California


Posting Start Date: 6/1/26


Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at


Job Description:


Job 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.

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: Data Warehousing.


Experience: 8-10 Years.


The expected compensation for this role ranges from $80,000 to $173,800 .


Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.


Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.


Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.


Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.