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Added 3 mins ago
Senior AI/ML Engineer
Vizient, Inc.
Chicago, IL · Irving, TX
Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred.
Added 27 mins ago
AI & Software Engineering Manager
Westinghouse Electric Company, LLC
Cranberry Township, NC
Plan team capacity against the prioritized portfolio, and propose and manage engineer assignments within Data & AI capacity governance.
Added 30 mins ago
GI
Data Analyst (Dashboard Developer)
Guidehouse Inc.
Remote, United States
- $68,000 to $113,000 USD / year
Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python.
Added 36 mins ago
Senior Quality Engineer
HINCX Hiscox Inc.
CT · NY
Hands-on experience working with modern cloud data lakehouse technologies e.g. Databricks (preferred) or Snowflake.
Added 38 mins ago
Data Scientist, Dataset Assessment Lead
Experis USA
Sunnyvale, CA
Deliver comprehensive handoff materials to the incoming Data Engineer and broader program team.
Added 41 mins ago
Full Stack Software Engineer (AI-Enabled Healthcare Analytics) - Hybrid
Cigna-Evernorth Services Inc.
Bloomfield, CT
We're looking for an experienced Full Stack Software Engineer who thrives at the intersection of application development, data engineering, and AI-enabled innovation. In this role, you'll…
Added 42 mins ago
PG
Senior Database Developer
Publicis Groupe Holdings B.V
Irving, TX
- $88,540 to $127,155 USD / year
Databricks Data Engineer Associate or Professional certification is a plus.
Added 44 mins ago
Senior Informatics Architect
TetraScience
Boston, MA · San Mateo, CA
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…
Added 55 mins ago
Senior Informatics Architect
TetraScience
Remote, United States
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…
Added 55 mins ago
Senior Informatics Architect
TetraScience
Remote, United States
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…
Added 1 hour ago
AI DevOps Engineer
Covalent Resource Group
Southfield, MI
We are looking for an AI DevOps Engineer to own how our client’s AI systems get deployed, stay up,
Added 1 hour ago
Senior Data Engineer, Data Products & Platforms
Vizient, Inc.
Chicago, IL · Irving, TX · Centennial, CO
…curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data…
Added 1 hour ago
AI/ML Engineer Team Lead
Vizient, Inc.
Chicago, IL · Irving, TX · Centennial, CO
Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred.
Added 1 hour ago
Project - Healthcare Claims Data Analytics and Insights Engineer III
Deloitte
Des Moines, IA
As a Project - Analytics and Insights Engineer III on the project, you will:
Added 1 hour ago
Senior Business Intelligence Engineer
Humana Insurance Company
Remote, United States
The Senior Business Intelligence (BI) Engineer engages with business value streams on diverse and complex opportunities leveraging a variety of technology platforms. The individual will…
Added 1 hour ago
Site Reliability Engineer
Humana Inc.
Remote, United States
…solutions using technologies such as Python, Angular, SQL, Databricks, SSIS, and enterprise AI gateways for secure integration with AI models. This role requires a strong software…
Added 1 hour ago
AI Architect II
Insight
Chandler
Building and implementing solutions hands-on with platforms such as Microsoft Foundry, Azure OpenAI, Copilot Studio, Amazon Bedrock, the Claude API and Agent SDK, and Databricks.
Added 1 hour ago
Tech TAP Program - Scientific AI Engineer
American Chemical Society
Columbus, OH
Description Scientific AI Engineer Technology Talent Acceleration Program (TechTAP) | July 2027 Cohort Columbus, Ohio CAS uses intuitive technology, unparalleled scientific content, and…
Added 1 hour ago
E
Senior AI Platform Ops Engineer
EchoStar
Englewood, CO
- $116,875 to $158,125 USD / year
EchoStar is seeking an experienced AI/Platform Ops Engineer to take ownership of critical platform operations and drive engineering excellence across the Databricks environment. The…
Added 1 hour ago
AI Architect II
Insight Enterprises, Inc.
AZ
Building and implementing solutions hands-on with platforms such as Microsoft Foundry, Azure OpenAI, Copilot Studio, Amazon Bedrock, the Claude API and Agent SDK, and Databricks.
Added 1 hour ago
AI
Junior Data Engineer
Applied Information Sciences, Inc
Remote, United States
- $93,000 to $141,000 USD / year
…seeking a talented individual to join AIS as a Data Analytics…
Added 1 hour ago
AI Engineer
SAIC
College Park, MD
We are seeking a Senior AI Engineer to design, develop, and deploy IRIS, an AI agent supporting the HFDP Data Integration project. IRIS will help users discover, connect, and understand…
Added 1 hour ago
Data Engineer – Databricks (IBU Consumer)
RADcube - A NLogix Company
Indianapolis, IN
Build and maintain scalable data pipelines on Databricks for consumer-facing IBU data products.
Added 2 hours ago
FI
AI Sales Intelligence Analyst
F5, Inc. (United States)
United States
- $77,400 to $116,200 USD / year
…integrations - connecting our SharePoint, Salesforce, Snowflake, and Databricks ecosystems into a unified sales intelligence layer using modern enterprise AI platforms, agent frameworks,…
Added 2 hours ago
Data Engineer
Persistent Systems
New York, NY
Persistent Systems is seeking a Data Engineer to join our team in our New York City headquarters. The Data Engineer will design, build, and operate the pipelines, lakehouses, and data…

AT&T Services, Inc.

Lead Data/AI Engineering

Remote, United States

$158,200 to $237,400 USD / year

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Job details

Pay: $158,200 to $237,400 USD / year
Apply by: Nov 6, 2026
Experience: Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience.
Posting language: English
Posted: Oct 29, 2026

Original job description

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

The Lead Data/AI Engineering role will help shape how data and AI are leveraged across the enterprise, enabling smarter decisions, faster innovation, and scalable AI adoption.

What you’ll do:

Databricks Application Development: Design, build, deploy, and support production‑grade Databricks applications that connect enterprise data, AI capabilities, and business workflows, using HTML for user interfaces and SQL for data access and transformation.
AI Engineering: Design, build, and operationalize AI and machine learning solutions that address business needs, ensuring reliability, performance, and responsible use in production environments.
Data Engineering & Pipelines: Design, build, and support scalable ETL and data pipelines that ingest, clean, transform, and serve data for analytics, machine learning, and AI workloads.
Cloud & Platform Enablement: Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms to deliver secure, scalable, and performant data and AI applications.
AI Operations & Quality: Implement MLOps practices, including monitoring, evaluation, and lifecycle management to ensure AI systems remain accurate, scalable, and reliable over time.
Business Partnership: Collaborate with business partners and technical stakeholders to understand use cases, translate requirements into technical designs, and iteratively deliver high‑value data and AI solutions.
Governance & Security: Ensure data integrity, security, and compliance across the data and AI lifecycle, supporting responsible AI practices and enterprise risk management standards.

What you’ll need:

Databricks Application Development Experience: Hands‑on experience building, deploying, and supporting Databricks applications is required, including integrating data sources, developing user interfaces, and delivering applications for business users.
Strong Engineering Foundation: Proficiency in Python, SQL, and HTML, with experience building production‑grade data applications and AI solutions. Strong SQL skills for querying, transforming, and integrating data are essential.
Data Pipeline Expertise: Hands‑on experience designing and supporting ETL processes and large‑scale data pipelines for analytics and AI workloads.
Snowflake & Azure Experience: Hands‑on experience developing and integrating solutions using Snowflake and Azure is required, including data storage, processing, and secure access, along with experience working with ADLS.
Applied AI Experience: Practical experience supporting AI and machine learning solutions, including data preparation, integration, deployment, and operational considerations.
Problem‑Solving Mindset: Strong analytical skills with the ability to troubleshoot complex data and AI pipeline issues end‑to‑end.

What you’ll bring:

Lead‑Level Experience: Demonstrated experience as a Lead or advanced data engineer, AI engineer, or similar role delivering complex data and AI solutions.
Enterprise Application Delivery: Experience delivering Databricks applications and AI‑enabled solutions in enterprise environments.
Collaboration & Communication: Ability to work cross‑functionally and clearly communicate technical concepts to both technical and non‑technical stakeholders.
Continuous Improvement: A passion for learning and staying current with emerging data, AI, and cloud technologies - and applying them thoughtfully in production environments.

Changing the speed of business comes with many rewards - starting with your impact.

Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience. Certification is required in some areas.

Supervisor: No

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:

Time Type:

Regular

Location:

Dallas, 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. Click here to learn more or request an application accommodation here.

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More about this job

Skills

Machine learning
Data engineering
Regulatory compliance
Risk management
Databricks
SQL
Amazon Data Pipeline
Snowflake
Microsoft Azure
Data storage
Problem solving
Analytical skills
Troubleshoot
Collaboration
Communication skills
Process improvement
Cloud technologies
Computer science

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