Lead Data/AI Engineering

AT&T•Plano, TX

1d•Onsite

About The Position

This role involves architecting, designing, developing, testing, and deploying scalable Data & AI and Gen AI solutions. This includes building Gen AI Agents on MCP Servers and AskDocs/AskData chat systems, utilizing best practices such as automation, version control, and CI/CD. The position requires translating complex Data, AI, and Large Language Model (LLM) use cases into effective data models, pipelines, and LLM service architectures, while ensuring data quality and service reliability. A key responsibility is developing and maintaining secure, scalable microservices, APIs, and LLM-based services, adhering strictly to security best practices and ensuring readiness for Red Team testing. The role also includes evaluating and implementing cloud and on-premise technologies to optimize platform scalability, performance, cost, monitoring, and security. Collaboration with clients, senior leadership, and diverse teams through excellent communication is essential to convert data and AI capabilities into actionable business insights. The position will lead rigorous testing strategies and oversee deployment processes, addressing configuration, environment, and security issues, and ensuring compliance with organizational security requirements. The role utilizes Python, React, and Large Language Models (LLM) for building advanced AI applications and services, with a specific focus on architectural and design skills for LLM services and generative AI solutions, emphasizing security and compliance. Experience with Data and AI technologies like Spark, Kafka, Databricks, Snowflake, and cloud platforms (Azure, AWS, GCP) is expected, along with an understanding of API and microservice development patterns (HTTP/REST/FastAPI) and 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
Observing API and microservice development patterns, including HTTP/REST/FastAPI, with an emphasis on secure coding practices.

Responsibilities

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.

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