Senior AI Data Engineer: Gen AI, Cloud & Data Lakes

Credence; Warner Robins (GA); On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Wellness Resources

Job summary

Credence seeks a Senior AI Data Engineer to design, build, and deploy data-driven AI and automation solutions across cloud platforms. You will drive agentic AI lifecycles and collaborate with cross-functional teams to deliver mission-crucial capabilities.

You will work on data integrations, lake/warehouse engineering, and scalable AI deployments, with a focus on reliability and security for federal missions.

Qualifications

• 7+ years of hands-on experience delivering Data/AI/ML solutions.
• Experience with data lake/warehouse architectures and medallion patterns.
• Familiarity with data governance, lineage, and security guidelines.

Responsibilities

• Data Integrations for Generative AI & LLM Usage: build and optimize data pipelines.
• Data Lake & Warehouse Engineering: manage large datasets across cloud platforms.
• Database Management & Performance: model, query, and load large-scale datasets.
• Collaborative Engineering: work with data engineers, software engineers, and data scientists.
• Cloud Enablement: automate model deployment workflows using IaC and CI/CD.
• Production Monitoring & Optimization: monitor AI systems and tune performance.
• Technical Rigor & Documentation: write clean, well-documented code.
• Professional Growth: stay current on AI/ML trends and participate in design reviews.

Skills

Generative AI

ETL/ELT

Data pipelines

SQL/NoSQL

Cloud platforms

CI/CD

OpenSearch/Elastic

LLMs

Education

Bachelor’s or Master’s in CS/Data/AI/ML

Tools

Terraform

OpenAI

Bedrock

Pinecone

LangChain

AWS/GCP/Azure

Job description

Credence seeks a Senior AI Data Engineer to design, build, and deploy data-driven AI and automation solutions across cloud platforms. You will drive agentic AI lifecycles and collaborate with cross-functional teams to deliver mission-crucial capabilities.

You will work on data integrations, lake/warehouse engineering, and scalable AI deployments, with a focus on reliability and security for federal missions.