Data/AI Engineer with Python

About the role

DXC Luxoft is hiring a Data/AI engineer with Python in Los Angeles, within its Solution/Integration Architecture team. The goal is to build reusable platform capabilities and data products that let quantitative researchers discover, access and consume data across a complex, disparate landscape, and then move good prototypes to production.

Key responsibilities

• Design, build and enhance data pipelines and integration frameworks supporting AI, analytics and business applications.
• Improve data quality, reliability, lineage and monitoring.
• Implement an AI-first approach, using AI agents as a primary tool to design, build, test and support solutions.
• Work closely with business stakeholders, product managers and engineering teams to turn business objectives into technical solutions.

Required profile

• 10+ years of professional software development, including 5+ years of data engineering experience.
• Experience building and deploying AI/LLM-enabled applications in production environments.
• Experience in agile delivery environments and strong communication with business users and other stakeholders.

Required skills

• Advanced Python, including scalable backend services and data processing solutions.
• Data pipelines, data integration and large-scale data processing architectures.
• Relational databases and modern data storage, including graph, vector or analytical platforms.
• LangGraph, LangChain, agentic workflows or orchestration frameworks for AI applications.
• Nice to have: Databricks, Spark, Delta Lake, AWS services (Aurora, Neptune, ECS Fargate, Lambda, SQS), Infrastructure-as-Code with AWS CDK or Terraform, and Fixed Income domain knowledge.