Lead Data & AI Engineer – Gen AI & Secure ML Platforms

att; Plano (TX); On-site; USD 158,000 - 237,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Paid Time Off

Paid Parental Leave

Disability Benefits

Life Insurance

Employee discounts

Job summary

AT&T is seeking a Lead Data/AI Engineer to architect, build, test, and deploy scalable Data & AI and Gen AI solutions, including Gen AI Agents on MCP servers and chat systems. You will translate complex use cases into robust data models, pipelines, and LLM architectures while ensuring data quality and security.

You will collaborate with leaders and diverse teams to convert capabilities into actionable business insights, lead testing and deployment, and uphold secure coding practices across cloud

Qualifications

• Requires a Bachelor's degree in Computer Science, Electronics Engineering, or Computer Engineering.
• Five years of progressive, post-baccalaureate experience using Python, React, and LLMs for advanced AI applications and services.
• Experience with LLM security and compliance.
• Experience with Spark, Kafka, Databricks, Snowflake, and cloud platforms (Azure, AWS, GCP).
• Strong understanding of API/microservice patterns and secure coding practices.

Responsibilities

• Architect, design, develop, test, and deploy scalable Data & AI and Gen AI solutions.
• Translate complex Data/AI/LLM use cases into data models, pipelines, and LLM service architectures.
• Develop and maintain secure, scalable microservices, APIs, and LLM-based services with strong security focus.

Skills

Python

React

LLM usage

Education

Bachelor's degree

Tools

Spark

Kafka

Databricks

Snowflake

Azure

AWS

GCP

REST/FastAPI

Job description

AT&T is seeking a Lead Data/AI Engineer to architect, build, test, and deploy scalable Data & AI and Gen AI solutions, including Gen AI Agents on MCP servers and chat systems. You will translate complex use cases into robust data models, pipelines, and LLM architectures while ensuring data quality and security.

You will collaborate with leaders and diverse teams to convert capabilities into actionable business insights, lead testing and deployment, and uphold secure coding practices across cloud