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Executive Knowledge Graph Jobs in Georgia (NOW HIRING)

VBeyond

Data Architect with AI

Atlanta, GA · On-site

$61.25 - $78.75/hr

LLM integration with tools, APIs, and knowledge bases (RAG patterns) * Autonomous and semi ... Communicate complex technical concepts clearly to both technical and executive audiences. Required ...

AT&T

Principal System Engineering

Atlanta, GA · Hybrid

... Graph * Proficient in Microsoft 365 and hybrid cloud solutions * Strong knowledge of Active ... Works with minimal oversight, frequently consulting senior leadership and influencing executive ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

... APIs, and knowledge bases (RAG patterns), autonomous and semi‑autonomous agent workflows ... and executive audiences. Qualifications : Required : • Bachelor's Degree in engineering or ...

UMB Bank

AI Data Architect

Atlanta, GA · On-site +1

$83.20K - $178.80K/yr

Knowledge of AI/ML lifecycle data requirements, including model training, validation, and ... Strong skills in database technologies (SQL, NoSQL, graph databases) and data integration patterns.

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Data Architect with AI

Data Architect with AI

VBeyond

Atlanta, GA • On-site

$61.25 - $78.75/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title : Data Architect with AI
Location : Atlanta, GA
Type: Fulltime
Mandatory Skills :
AWS
GCP
Snowflake
AWS to GCP Migration
RAG Architecture
LLM
12-15 yrs exp
Strategic & Architectural Leadership
  • Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.
Solution Architecture & Platform Design
  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.
  • Design and govern cloud-based data platforms leveraging:
    • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
    • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
    • Snowflake (data warehouse, data sharing, performance optimization)
  • Architect modern enterprise data architectures, including:
    • Data Lake, Lakehouse, Data Mesh, and Data Fabric
    • Open table/file formats such as Parquet, Iceberg, Delta Lake
    • Medallion architectures (Bronze/Silver/Gold)
  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
  • Define and enforce data quality, metadata, lineage, and access control standards.
AI, ML, and Generative AI Architecture
  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.
  • Lead architecture for Generative AI and Agentic AI, including:
    • LLM integration with tools, APIs, and knowledge bases (RAG patterns)
    • Autonomous and semi-autonomous agent workflows
    • Fine-tuning, prompt engineering, and optimization strategies
  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.
Technical Leadership & Collaboration
  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
  • Communicate complex technical concepts clearly to both technical and executive audiences.
Required Qualifications
  • Bachelor's Degree in Engineering or a related technical discipline.
  • 12+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
Preferred Qualifications
  • Master's degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Cloud platforms: GCP and AWS (multi-cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
  • GenAI/LLM frameworks, vector databases, and graph databases
  • Data engineering tools: Spark, Kafka, Hadoop
  • Containerization and orchestration: Docker, Kubernetes
  • CI/CD and DevOps practices
  • Strong understanding of data modeling, performance tuning, and cost optimization
  • Strong architectural thinking and problem-solving skills
  • Excellent communication and stakeholder management capabilities
  • Ability to influence without authority and operate effectively in matrixed organizations
  • Self-driven, organized, and able to manage multiple priorities
Preferred Certifications
  • AWS Certified Solutions Architect
  • Google Cloud Professional Cloud Architect
  • Snowflake or Data Engineering certifications

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