Senior Data/AI engineer

Luxoft

is seeking a Senior Data/AI Engineer in

Irvine, CA

(onsite). In this role, you will help build reusable

data platform capabilities

and

data products

that enable quantitative researchers to find, access, and consume data, while accelerating prototypes into production-ready solutions. What you'll build

You will design and enhance

data pipelines

and

integration frameworks

with an

AI-first approach . A key aspect of the work is using

AI agents

as a primary tool to

design, build, test, and support

solutions, while improving the overall

data quality, reliability, lineage, and monitoring

that teams depend on. Responsibilities

Design, build, and enhance

data pipelines

and

integration frameworks

supporting AI, analytics, and business applications. Improve

data quality ,

reliability ,

lineage , and

monitoring

for dependable downstream use. Apply an

AI-first approach

by using

AI agents

as a primary tool to design, build, test, and support solutions. Collaborate with

business stakeholders ,

product managers , and

engineering teams

to translate business objectives into technical solutions. Requirements

10+ years

of professional software development, including

5+ years

of

data engineering

experience. Advanced proficiency in

Python , including experience building

scalable backend services

and

data processing solutions . Hands-on experience designing and implementing

data pipelines ,

data integration

solutions, and

large-scale data processing architectures . Experience with

relational databases

and modern data storage technologies, including

graph ,

vector , or

analytical data platforms . Practical experience building and deploying

AI/LLM-enabled applications

in production environments. Experience with

LangGraph ,

LangChain ,

agentic workflows , or orchestration frameworks for AI applications, including

evaluations . Familiarity with modern AI tooling and workflows, including

AI-assisted software engineering practices . Experience operating in

agile

delivery environments. Strong communication

skills and the ability to work efficiently with multiple stakeholder groups, including business users. Technologies

Python LangGraph, LangChain AI agents AI/LLM-enabled applications Relational databases Graph, Vector, Analytical data platforms Nice to have

Experience with

Databricks ,

Spark ,

Delta Lake , or similar modern data engineering platforms. Experience designing enterprise

data lakes ,

lakehouses , or large-scale analytical platforms. Domain experience within

Investment Management ,

Asset Management ,

Capital Markets , or

Financial Services . Strong understanding of

Fixed Income

products and related investment workflows (significant domain expertise is highly valuable). Experience with

Aurora ,

Neptune , and other

AWS

data services. Experience architecting, provisioning, and managing production infrastructure on

AWS , including

ECS Fargate ,

Lambda ,

SQS , and related cloud-native technologies. Experience defining cloud architecture programmatically using

Infrastructure-as-Code

tools such as

AWS CDK

or

Terraform . English:

B2 Upper Intermediate.

Seniority:

Senior.

Req.:

VR-125222.

Solution/Integration Architecture .

BCM Industry .

Availability date:

15/10/2026.

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