Senior AI Data Engineer for Mission-Driven Cloud AI

Credence; Boston (MA); On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &_Vo

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary & AD&

Paid Time Off (Vacation, Sick & Public

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Wellness Resources

Job summary

Credence is seeking a Senior AI Data Engineer to join our AI and Automation practice. You will design, build, and deploy data-driven AI solutions, lead data integrations for Generative AI, and drive cloud-native architectures across AWS, Azure, and GCP to support federal missions.

You will collaborate with data engineers, software engineers, and data scientists to implement ETL/ELT pipelines, manage data lakes and warehouses, monitor production systems, and advance agentic AI and LLM workflows

Qualifications

• U.S. Citizenship with eligibility for DoD Secret clearance.
• Bachelor’s or Master’s degree in Computer Science, Data/AI/ML, or a related field.
• 7+ years of hands-on experience delivering Data/AI/ML solutions.
• Strong understanding of ETL/ELT and data pipeline processes, plus experience with OpenSearch/Elasticsearch, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier.
• Experience with vector databases, embeddings, and related data structures, file formats, services, APIs, etc. (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, HuggingFace with Pinecone, Bedrock Knowledge Base).
• Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A).
• Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for LLMs and RAG search.
• Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins).
• Experience with VS Code and AI extensions such as Claude Code.

Responsibilities

• Data Integrations for Generative AI & LLM Usage — Build and optimize data pipelines for generative AI.
• Data Lake & Warehouse Engineering — Manage large datasets across AWS/Azure/GCP using medallion architecture.
• Database Management & Performance — Work with SQL and NoSQL systems to model, query, and load large-scale data.
• Collaborative Engineering — Work with data engineers, software engineers, and data scientists to develop AI systems.
• Cloud Enablement — Automate model deployment workflows with IaC, CI/CD, and containers.
• Production Monitoring & Optimization — Monitor AI systems, tune performance, ensure reliability and scalability.
• Technical Rigor & Documentation — Write clean, documented code per standards; ensure reproducibility.
• Professional Growth — Learn from senior team members via mentorship and design reviews.
• U.S. Citizenship with DoD clearance eligibility.
• Bachelor’s or Master’s in relevant field.

Skills

Generative AI & LLMs

Data/AI/ML Solutions

ETL/ELT pipelines

Vector databases

CI/CD tooling

OpenSearch/Elasticsearch

Python proficiency

Education

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

Tools

OpenSearch/Elasticsearch

Kafka

Glue

DataBricks

Snowflake

AWS S3

RDS

EBS

Glacier

Bedrock

Pinecone

Job description

Credence is seeking a Senior AI Data Engineer to join our AI and Automation practice. You will design, build, and deploy data-driven AI solutions, lead data integrations for Generative AI, and drive cloud-native architectures across AWS, Azure, and GCP to support federal missions.

You will collaborate with data engineers, software engineers, and data scientists to implement ETL/ELT pipelines, manage data lakes and warehouses, monitor production systems, and advance agentic AI and LLM workflows