Forward-Deployed Data Engineer for Agentic AI Platforms

Kyndryl Inc.

Frisco (TX)

Hybrid

USD 140,000 - 190,000

Full time

5 hours ago
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Job summary

Kyndryl is seeking a Forward Deployed Data Engineer in Frisco, TX (Hybrid). You will design, build, and optimize data foundations to power AI, ML, and enterprise deployments, partnering with customers to deliver production-grade solutions.

You'll own end-to-end data pipelines and architectures across cloud platforms, collaborate with clients, and drive data quality, governance, and measurable business value through scalable, observable systems.

Qualifications

  • Proficient in Python and SQL development.
  • Experience building and maintaining ETL/ELT pipelines.
  • Hands-on experience with Airflow, dbt, Kafka, Spark or similar tools.
  • Familiarity with vector databases (Pinecone, Milvus, Weaviate, Chroma, Qdrant).
  • Knowledge of RAG architectures, semantic search, AI/ML or Agentic AI.

Responsibilities

  • Build and optimize scalable ETL/ELT pipelines for batch and real-time data processing.
  • Design cloud-native data architectures across AWS, Azure, and GCP.
  • Develop high-performance APIs and enterprise integrations.
  • Implement vector databases, semantic search, and Retrieval-Augmented Generation (RAG) solutions.
  • Support AI/Generative AI and ML workloads.
  • Drive data quality, observability, governance, and compliance initiatives.
  • Collaborate directly with customers to deploy solutions and deliver measurable business value.

Skills

Python
SQL
ETL/ELT pipelines
Airflow
dbt
Kafka
Spark
Vector databases
Pinecone
Milvus
Weaviate
Chroma
Qdrant
RAG architectures
semantic search
AI/ML
Cloud platforms
AWS
Azure
GCP
APIs
Data governance
Observability

Tools

Airflow
dbt
Kafka
Spark
Pinecone
Milvus
Weaviate
Chroma
Qdrant

Job description

Kyndryl is seeking a Forward Deployed Data Engineer in Frisco, TX (Hybrid). You will design, build, and optimize data foundations to power AI, ML, and enterprise deployments, partnering with customers to deliver production-grade solutions.

You'll own end-to-end data pipelines and architectures across cloud platforms, collaborate with clients, and drive data quality, governance, and measurable business value through scalable, observable systems.

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