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Remote Google Sql Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Strong knowledge of SQL, data modeling, and query optimization. * Experience with CI/CD tools and ...

Associate, Strategic Finance

Atlanta, GA · Remote

$96K - $127K/yr

  • PTO

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Proficiency in SQL/BigQuery to analyze large datasets * Proficiency working with NetSuite and ...

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... our Google Cloud Platform (GCP) ecosystem. You will sit at the intersection of innovation and ... Hybrid Schedule, 4 days in office in Wyoming, MI or Atlanta, GA, with 1 day remote What you'll ...

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Proficiency in SQL/BigQuery to analyze large datasets * Proficiency working with NetSuite and ...

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Experience managing both relational databases (SQL) and non-relational systems such as NoSQL ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Write production-ready code in SQL, Python, and Spark, following software engineering tools and ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Write production-ready code in SQL, Python, and Spark, following software engineering tools and ...

Application Architect (IT)

Atlanta, GA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Experience ... Experience with SQL and application integration. Preferred Experience * 10 years of experience ...

Application Architect (IT)

Atlanta, GA · On-site +1

$70K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Experience ... Experience with SQL and application integration. Preferred Experience * 10 years of experience ...

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Enterprise AI Engineer (GCP)

INFT Solutions Inc

Atlanta, GA • On-site, Remote

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Description: Enterprise AI Engineer (GCP)
Location: Remote / Hybrid Focus: Agentic AI, Data Intelligence, and Enterprise Scale
Role Overview
We are looking for a Principal Enterprise AI Engineer to architect and deliver high-impact AI
solutions within the Google Cloud ecosystem. This role is designed for a technical leader who
can bridge the gap between complex data landscapes and autonomous AI systems. You will lead
the development of Agentic AI frameworks and Data Intelligence platforms that drive
significant digital transformation for global enterprise clients.
Core Responsibilities
 Architect Agentic Systems: Design and deploy multi-agent orchestration frameworks
using Vertex AI Agent Builder, LangGraph, or CrewAI to automate complex, multi-step
business workflows.
 Master RAG Architectures: Build and optimize high-performance Retrieval-
Augmented Generation (RAG) systems, ensuring LLMs are grounded in enterprise data
across BigQuery and Databricks.
 Model Strategy & Optimization: Select and fine-tune models within the Gemini 1.5
family, balancing high-reasoning capabilities (Pro) with high-speed efficiency (Flash) for
production-grade latency.
 Legacy Transformation: Lead the strategic migration of legacy analytics logic (e.g.,
SAS environments) into modern, AI-powered cloud architectures.
 GTM Collaboration: Work closely with Go-To-Market (GTM) leadership to translate
technical AI roadmaps into measurable business value for C-suite stakeholders.
Required Skill Requirements
1. Agentic AI & Orchestration
 Framework Mastery: Expert implementation of LangChain, LangGraph, or
LlamaIndex for stateful, autonomous agent development.
 Advanced Prompting: Proficiency in Chain-of-Thought (CoT), ReAct patterns, and
system instruction optimization to ensure reliable model output.
 Function Calling: Experience building custom tools that allow LLMs to interact
securely with enterprise APIs and SQL databases.
2. Data Intelligence & Engineering
 Hybrid Data Ecosystems: Deep experience integrating Google Cloud AI services with
Databricks (Delta Lake) for unified data intelligence.
 Vector Engineering: Proficiency with Vertex AI Vector Search (formerly Matching
Engine) and embedding strategies for large-scale semantic search.
 Data Flow: Skill in building scalable pipelines using Dataflow or Spark to process
unstructured data for AI readiness.
3. LLMOps & Production Engineering
 Evaluation Frameworks: Ability to build automated "LLM-as-a-judge" evaluation
pipelines to track accuracy, faithfulness, and hallucination rates.
 Cloud Infrastructure: Mastery of the Vertex AI suite (Studio, Model Garden, Pipelines)
and Infrastructure as Code (Terraform).
 Programming: Expert-level Python (FastAPI, Pydantic) and advanced SQL.
4. Strategic Governance
 Responsible AI: Implementation of safety filters, PII redaction, and ethical AI
monitoring.
 Business Translation: Ability to convert technical metrics (latency, token costs) into
business KPIs (ROI, process efficiency).
Qualifications
 Experience: 8+ years in Software Engineering or Data Science, with at least 3+ years
focused on production-grade AI/ML.
 Education: B.S./M.S. in Computer Science, AI, or a related quantitative field.
 Certifications: Google Professional Machine Learning Engineer or Professional Cloud
Architect (preferred).
Technology Stack
 AI/ML: Vertex AI, Gemini 1.5 Pro/Flash, PyTorch.
 Data: BigQuery, Databricks, Vertex Vector Search.
 Orchestration: LangGraph, Vertex AI Agent Builder.
 DevOps: GitHub Actions, Terraform, Vertex AI Pipelines.