JOB LOCATION: 308 S Akard St. Dallas, Texas 75202

DUTIES: Manage stakeholder relationship, analyze and interpret business objectives, transform those needs into relevant data manipulation requirements, and anticipate risks, mitigate roadblocks, and execute outputs for leadership. Provide thought leadership to executives that drive AI Technology platform strategy to align and optimize AI/ML tooling to facilitate highly productive Data Science solutioning including AI-Computer Vision, Data & Visual Analytics (DVA), Optical Character Recognition (OCR), and AI-Knowledge Graph. Acquire buy-in that must be secured from key leadership stakeholders to sponsor key strategies. Provide thought leadership to executives that drive best-in-class software development that must be integrated with the data science artifacts, developed and manipulated to test by data scientists and testing iterations must be performed. Review data science outputs of entire solution and vet for accuracy. Present strategic vision to both executives and conduct public speaking to moderately sized audiences. Synthesize complex, technical, software-based solutions into non-technical/ executive level appropriate presentation. Mentor peer technical colleagues and present at organizational level knowledge share events. Endeavor to submit patents and white papers for publication. Apply knowledge with JVM-based function languages. Utilize alternative HDFS-based computing frameworks including Spark. Utilize Python programming, JavaScript Data Visualization. Utilize PySpark, AI-Knowledge Graph, and AI-Computer Vision, Utilize Image Processing and Optical Character Recognition (OCR) model packages. Utilize Big Data technologies and multiple programming languages including Databricks, Python, PySpark, and SQL.

REQUIREMENTS: Requires a Bachelor degree, or foreign equivalent degree, in Computer Science, Math, Scientific Computing, or Computer Engineering and 3 years of experience in the job offered, or 3 years of experience in a related occupation applying knowledge with JVM-based function languages; utilizing alternative HDFS-based computing frameworks including Spark; utilizing Python programming, JavaScript Data Visualization; utilizing PySpark, AI-Knowledge Graph, and AI-Computer Vision; utilizing Image Processing and Optical Character Recognition (OCR) model packages; utilizing Big Data technologies and multiple programming languages including Databricks, Python, PySpark, and SQL.

Our Lead Data/AI Engineering earn between $166,650 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

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

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.