Senior Data & AI Platform Engineer

Luxoft; Irvine (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Luxoft is seeking a senior data engineering professional to design and build scalable data pipelines and AI-enabled solutions for production environments in the United States. You will collaborate with business stakeholders and engineering teams to deliver end-to-end data platforms that support AI-driven analytics and research initiatives.

The role emphasizes data quality, reliability, and lineage, with hands-on work across Python-based services, modern storage platforms, and cloud-native

Qualifications

• 10+ years of professional software development with 5+ years in data engineering.
• Advanced Python proficiency for scalable backend services and data processing.
• Experience designing data pipelines, data integration and large-scale processing.
• Relational databases and modern storage (graph, vector, analytics).
• Production experience with AI/LLM-enabled applications.
• Familiarity with LangGraph, LangChain or orchestration frameworks.
• Agile delivery and strong stakeholder communication.

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks.
• Improve data quality, reliability, lineage, and monitoring.
• Implement AI first approach using AI agents for design, build, test, and support.
• Collaborate with business stakeholders, product managers, and engineering teams to translate objectives into technical solutions.

Skills

Python

Data engineering

Data pipelines

AI/LLM apps

Agile delivery

Communication

Relational databases

LangGraph / LangChain

Tools

Databricks

Spark

Delta Lake

AWS CDK

Terraform

ECS Fargate

Lambda

SQS

Job description

Luxoft is seeking a senior data engineering professional to design and build scalable data pipelines and AI-enabled solutions for production environments in the United States. You will collaborate with business stakeholders and engineering teams to deliver end-to-end data platforms that support AI-driven analytics and research initiatives.

The role emphasizes data quality, reliability, and lineage, with hands-on work across Python-based services, modern storage platforms, and cloud-native