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5 дней назад

Lead Data/AI Engineering

158 200 - 237 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data/AI Engineering (Generative AI/LLM): Architecting and deploying scalable Data & AI solutions, including Gen AI agents, AskDocs/AskData systems, data pipelines, microservices, and LLM services with an accent on security, reliability, and cloud scalability. Focus on designing secure generative AI architectures, building advanced AI applications with Python and React, and integrating Spark, Kafka, Databricks, Snowflake, Azure, AWS, and GCP.

Location: 2900 W. Plano Parkway, Plano, Texas, United States

Salary: $158,200–$237,400 per year

Company

AT&T is a telecommunications corporation offering connectivity, internet, mobility, and related technology services.

What you will do

  • Architect, design, develop, test, and deploy scalable Data & AI and generative AI solutions.
  • Build Gen AI agents on MCP servers and AskDocs/AskData chat systems.
  • Design data models, pipelines, LLM service architectures, secure microservices, APIs, and LLM-based services.
  • Evaluate cloud and on-premise technologies for scalability, performance, cost, monitoring, and security.
  • Lead testing and deployment processes, resolving configuration, environment, and security issues.
  • Collaborate with clients, senior leadership, and cross-functional teams to turn data and AI capabilities into business insights.

Requirements

  • Bachelor’s degree or foreign equivalent in Computer Science, Electronics Engineering, or Computer Engineering.
  • Five years of progressive post-baccalaureate experience in the offered role or a related occupation.
  • Experience using Python, React, and large language models to build advanced AI applications and services.
  • Experience designing LLM services and generative AI solutions with a focus on security and compliance.
  • Experience with Spark, Kafka, Databricks, Snowflake, Azure, AWS, and GCP.
  • Knowledge of HTTP, REST, FastAPI, APIs, microservices, and secure coding practices.

Culture & Benefits

  • Regular full-time schedule of 40 hours per week.
  • Medical, dental, and vision coverage.
  • 401(k) plan, tuition reimbursement, paid time off, and company holidays.
  • Paid parental and caregiver leave, adoption reimbursement, disability benefits, and life insurance.
  • Wellness programs, employee assistance programs, supplemental benefits, and employee discounts.

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