AI Data Engineer at AHEAD

United States

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$170,000 – $200,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI/MLIndustries

Requirements

Event-driven ETL/data pipeline experience (Kafka, EventBridge, Snowflake, S3, Python/Celery)
Direct work with LangChain/LangGraph/LlamaIndex/Pinecone multi-agent orchestration
QA, documentation, monitoring, and collaborative agile process skills
Experience with cross-cloud, multi-source integration and incident resolution

Responsibilities

Build event-driven data workflows (Snowflake, S3, Kafka, EventBridge, Celery, AWS Batch), integrate with FactSet, Sharepoint, Proxy connectors, and expose agentic features (LangChain, LangGraph, LlamaIndex, Pinecone)
Develop, maintain, and monitor vector database (Pinecone) pipelines, LLM and ML endpoints, ensuring agent memory/state is managed for retrieval-augmented pipelines
Automate schema/version change management, event contract validation, lineage tracking, and observability
Write, run, and document QA/test coverage for ETL, agentic triggers, and GenAI model events, with incident and postmortem participation
Collaborate in agile ceremonies: propose improvements, troubleshoot delivery bottlenecks, and share technical knowledge via docs and training sessions
Implement and monitor security, compliance, and resiliency standards at all stages of the data/model workflows
Help onboard new team members; mentor engineers in agentic and event-driven data engineering best practices
Architect, build, and operate real-time/batch ETL pipelines, agentic orchestration flows, and AI/ML endpoints for autonomous, multi-agent production systems
Contribute actively to team processes, documentation, and operational quality

Skills

Snowflake

Kafka

EventBridge

Celery

AWS Batch

LangChain

LangGraph

LlamaIndex

Pinecone

Python

ETL

Vector Database

LLM

Observability

AHEAD

Digital transformation and cloud consulting services

About AHEAD

AHEAD specializes in digital transformation services, focusing on helping medium to large enterprises modernize their IT infrastructure. The company offers a range of services including cloud migration, automation, and infrastructure optimization, primarily using Microsoft Azure. AHEAD's products work by providing tailored consulting and managed services that guide clients through the complexities of digital transformation. What sets AHEAD apart from its competitors is its deep expertise in cloud solutions and a strong client-centric approach, which has been validated by achieving Gold Cloud Platform Competency with Azure. The company's goal is to empower organizations to take control of their digital transformation journeys and achieve sustainable success.

Chicago, IllinoisHeadquarters

2007Year Founded

BUYOUTCompany Stage

Consulting, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Health Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Risks

Emerging cloud service providers offer similar services at lower costs.

Rapid technological advancements may outpace AHEAD's solution updates.

Economic downturns could reduce spending on digital transformation projects.

Differentiation

AHEAD specializes in digital transformation with a focus on cloud solutions.

The company achieved Gold Cloud Platform Competency with Microsoft Azure.

AHEAD offers tailored solutions for cloud migration and infrastructure optimization.

Upsides

Increased demand for hybrid cloud solutions aligns with AHEAD's expertise.

Growing interest in AI-driven IT operations presents new opportunities for AHEAD.

The rise of edge computing offers AHEAD opportunities in edge-to-cloud solutions.

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