Lead Data/AI Engineering

att

Plano (TX)

Presencial

USD 158.000 - 237.000

Jornada completa

Hace 10 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement
Paid Time Off
Paid Parental Leave
Disability Benefits
Life Insurance
Employee discounts

Descripción de la vacante

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

Formación

  • 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.

Responsabilidades

  • 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.

Conocimientos

Python
React
LLM usage

Educación

Bachelor's degree

Herramientas

Spark
Kafka
Databricks
Snowflake
Azure
AWS
GCP
REST/FastAPI

Descripción del empleo

JOB LOCATION: 2900 W. Plano Parkway Plano, TX 75075

DUTIES: Architect, design, develop, test, and deploy scalable Data & AI and Gen AI solutions, including Gen AI Agents on MCP Servers and AskDocs/AskData chat systems, using best practices like automation, version control, and CI/CD. Translate complex Data, AI, and Large Language Model (LLM) use cases into effective data models, pipelines, and LLM service architectures, ensuring data quality and service reliability. Develop and maintain secure, scalable microservices, APIs, and LLM-based services, adhering strictly to security best practices and ensuring readiness to pass Red Team testing. Evaluate and implement cloud and on-premise technologies to optimize platform scalability, performance, cost, monitoring, and security posture.

Collaborate with clients, senior leadership, and diverse teams through excellent communication to convert data and AI capabilities into actionable business insights. Lead rigorous testing strategies and oversee deployment processes, addressing configuration, environment, security issues, and ensuring compliance with organizational security requirements. Utilize Python, React, and Large Language Models (LLM) for building advanced AI applications and services. Utilize architectural and design skills specifically for LLM services and generative AI solutions, with a focus on security and Compliance. Use Data and AI technologies such as Spark, Kafka, Databricks, Snowflake, and cloud platforms including Azure, AWS, and GCP. Observe API and microservice development patterns, including HTTP/REST/FASTAPI, with an emphasis on secure coding practices.

REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree, in Computer Science, Electronics Engineering, or Computer Engineering and five (5) years of progressive, post-baccalaureate experience in the job offered or five (5) years of progressive, post-baccalaureate experience in a related occupation utilizing Python, React, and Large Language Models (LLM) for building advanced AI applications and services; utilizing architectural and design skills specifically for LLM services and generative AI solutions, with a focus on security and Compliance; using Data and AI technologies such as Spark, Kafka, Databricks, Snowflake, and cloud platforms including Azure, AWS, and GCP; and observing API and microservice development patterns, including HTTP/REST/FastAPI, with an emphasis on secure coding practices.

Our Lead Data/AI Engineering earn between $172,985 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Our Lead Data/AI Engineering jobs earn between $158,200.00 - $237,400.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours: 40

Time Type: Regular

Location: Plano, Texas

Salary Range: $158,200.00 - $237,400.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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