Top 35 Aws cloud llmops Jobs in Atlanta, Ga

Sr. Data Architect
Warner Bros. Discovery —Atlanta, GA
- Full-time
- Azure
- Computer Science
- 5 years
8d
AI & Data Solution Architect
Carrier —Atlanta, GA
- $96,000 - $192,000 a year
- Full-time
- Salesforce
- Engineering
- 3 years
- Wellness program
- Paid jury duty
Data Engineer II - QuantumBlack, AI by McKinsey
McKinsey & Company —Atlanta, GA
- Computer science
- Azure
- Computer Science
Lead Solutions Architect
Humana —Atlanta, GA
- $142,300 - $195,700 a year
- Full-time
- Remote
- Computer science
- Computer Science
- HIPAA
- Paid parental leave
- Paid holidays
2d
AI Native Transformation Enterprise Consultant
Accenture —Atlanta, GA
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
AI Native Transformation Manager
Accenture —Atlanta, GA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Corporate Director, Data Science & AI Engineering
Emory Healthcare —Atlanta, GA
- Full-time
- Computer Science
- HIPAA
- Office
- Wellness program
- Health insurance
Microsoft Forward Deployed Engineer - GPS
Deloitte —Atlanta, GA
- $134,500 - $265,100 a year
- Full-time
- Computer Science
- Up to 50% travel
- Travel
AI/ML Engineer
Safe-Guard Products International LLC —Atlanta, GA
- Full-time
- Hybrid work
- Background check
- Azure
- 3 years
- Health savings account
- Paid holidays
Quick Apply
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte —Atlanta, GA
- $134,500 - $265,100 a year
- Full-time
- Computer science
- Azure
- Computer Science
2d
Google AI Lead Architect
Deloitte —Atlanta, GA
- $141,000 - $278,000 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Senior AWS Forward Deployed Engineer - GPS
Deloitte —Atlanta, GA
- $155,600 - $306,800 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Senior Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —Atlanta, GA
- Computer science
- Azure
- Computer Science
Databricks Forward Deployed Engineer - GPS
Deloitte —Atlanta, GA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Senior Microsoft Forward Deployed Engineer - GPS
Deloitte —Atlanta, GA
- $155,600 - $306,800 a year
- Full-time
- Computer Science
- Up to 50% travel
- Travel
Senior Data Engineer I - QuantumBlack, AI by McKinsey (Critical Industries)
McKinsey & Company —Atlanta, GA
- Computer science
- Azure
- Computer Science
Director, PEPI - Technology Services CTO Domain
Alvarez and Marsal —Atlanta, GA
- $150,000 - $225,000 a year
- Full-time
- Bachelor's degree
- Product management
- Mentoring
- AD&D insurance
- 401(k)
Director, PEPI - Technology Services CTO Domain
Alvarez & Marsal —Atlanta, GA
- $150,000 - $225,000 a year
- Full-time
- Product management
- Mentoring
- Senior level
- AD&D insurance
- 401(k)
Forward Deployed Engineer- Palantir
Deloitte —Atlanta, GA
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
BCG Platinion | Principal AI Tech Architect - AI Platforms
Boston Consulting Group —Atlanta, GA
- $230,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Paid holidays

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aws cloud llmops jobs near atlanta, ga

Sr. Data Architect

Warner Bros. Discovery -
Atlanta, GA

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Job Details

Full-time
8 days ago

Qualifications

Ontology
Data model design
Commercial use (data warehousing systems)
Data lake
Schema design
ROI
Reducing cloud infrastructure costs
Data Architecture Design (Architecture design skills)
Cloud database architecture
Bachelor's degree
Version control systems
Semantic Web
Dimensional modeling

Full Job Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your Role:

We are expanding our Enterprise Data & Analytics Group by adding a Sr. Data Architect. The ideal candidate will treat data as a strategic and intelligent asset, architecting the framework that empowers our entire organization to make high-stakes, data-driven decisions and powers our next-generation Agentic AI ecosystems. You will co-own the design of the foundational AI Context Layer—from enterprise ontology and sophisticated canonical domain modeling to the building of universal semantic layers. This is a high-visibility role where you will spearhead modernization efforts, partnering with senior leadership, data engineering, and AI/ML teams to transform an optimized data lakehouse into an interconnected, self-reasoning knowledge engine.

Role Accountabilities:

Semantic Architecture & AI Context Layer

Architect the AI Context Layer: Define the vision, requirements, and roadmap for an Enterprise Ontology and Semantic Layer that acts as the "world map" and central source of truth for Agentic AI, LLM prompting, and GraphRAG systems.
Build the Semantic Layer: Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake Semantic Views, Databricks Unity Catalog/Liquid Clustering, Fabric Semantic Models, or semantic middleware like dbt/Cube) to expose canonical data via intelligent APIs.
Drive Data Innovation: Bridge the gap between physical big data performance and semantic meaning, ensuring that AI agents can reason through complex, recursive enterprise relationships without hallucinating.

Technical Design & Canonical Engineering

Build Canonical Data Products: Lead the design and consolidation of foundational data domains (e.g., Studio, Finance, Content Sales, Consumer Products) into unified, cleansed Canonical Models within the Silver/Gold layers, successfully abstraction-matching data from highly heterogeneous source systems.
Modernize the Medallion Stack: Implement cutting-edge, resilient lakehouse patterns—including stream processing, event-driven pipelines, and schema-on-read ingestion—to feed the canonical layers seamlessly.
Operationalize AI Context Pipelines: Partner with ML/DevOps teams to architect and maintain MLOps and LLMOps processes that ensure context data, feature stores, and vector embeddings are continuously updated and monitored in production.

Governance, Quality & Semantic Integrity

Standardize & Automate Contracts: Develop and enforce enterprise-wide standards for metadata management, data contracts, and semantic version control through automated frameworks and CI/CD integration.
Enable AI & Data Democracy: Ensure data and its underlying business logic are highly discoverable and machine-readable, allowing both traditional business analysts (via self-service BI) and AI Agents to query data with identical semantic consistency.
Ensure Relationship Integrity: Implement reusable data quality and identity resolution frameworks to handle complex object hierarchies (e.g., mappings across households, profiles, and accounts) across the enterprise lakehouse.

Qualifications & Experiences:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Information Technology or similar major
5+ years of experience in data engineering and data architecture in a dedicated Enterprise or Domain Architect capacity.
Proven track record of designing, scaling, and implementing Canonical Models and Semantic Layers that sit on top of massive Enterprise Data Lakes/Lakehouses.
5+ years of experience with modern cloud data platforms, specifically possessing deep architectural knowledge in at least one of the following: Snowflake (Dynamic Tables, Cortex, Horizon), Databricks (Unity Catalog, Delta Live Tables), or Microsoft Fabric (OneLake, Semantic Models), alongside cloud ecosystems like AWS or Azure.
Advanced skill in Data Modeling across multiple paradigms: Relational, Dimensional (Kimball), and highly relational/flexible frameworks like Data Vault 2.0 or Graph-native concepts, along with proficiency in enterprise modeling tools.
Demonstrated ability to build, maintain, and version-control an ontology or semantic map (e.g., translating messy source attributes into a single, unified business entity layer).
Solid understanding of FinOps—managing and optimizing cloud compute/storage consumption to maintain platform ROI while running complex semantic or AI workloads.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Apply Now

Refine Your Search

aws cloud llmops jobs in atlanta, ga

Sr. Data Architect

AI & Data Solution Architect

Data Engineer II - QuantumBlack, AI by McKinsey

Lead Solutions Architect

AI Native Transformation Enterprise Consultant

AI Native Transformation Manager

Corporate Director, Data Science & AI Engineering

Microsoft Forward Deployed Engineer - GPS

AI/ML Engineer

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Google AI Lead Architect

Senior AWS Forward Deployed Engineer - GPS

Senior Data Engineer I - QuantumBlack, AI by McKinsey

Databricks Forward Deployed Engineer - GPS

Senior Microsoft Forward Deployed Engineer - GPS

Senior Data Engineer I - QuantumBlack, AI by McKinsey (Critical Industries)

Director, PEPI - Technology Services CTO Domain

Director, PEPI - Technology Services CTO Domain

Forward Deployed Engineer- Palantir

BCG Platinion | Principal AI Tech Architect - AI Platforms

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