Senior AI & Data Engineering Consultant

Talentola; Irving (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive contractor compensation

Job summary

Talentola seeks a Senior AI & Data Engineering Consultant to design and implement AI-powered contract and invoice extraction solutions using Databricks, Azure OpenAI, OCR, and RAG. The role is based in Irving, TX with a hybrid 3 days in-office arrangement.

The ideal candidate has 8+ years of data engineering and AI experience, strong SQL/PySpark skills, and proficiency with Gen AI frameworks to build IDP workflows and multi-agent systems.

Qualifications

• Bachelor’s or master’s degree in engineering or a related field is required.

Responsibilities

• Design and implement AI-powered Contract & Invoice Extraction solutions.

Skills

Databricks

Spark

SQL

Python

Gen AI/LLM integration

RAG

Agentic AI frameworks

OCR

Document Intelligence

REST API development

LangChain

LangGraph

CrewAI

Semantic Kernel

Azure OpenAI

GPT models

Vector databases

Cloud platforms

Education

Engineering Degree BE/ME/BTech/MTech/BSc/MSc

Tools

Azure AI Document Intelligence

Azure OCR

AWS Textract

Google Document AI

ABBYY Extract

Databricks

Spark

Job description

What is in it for you?

Seeking a Senior AI & Data Engineering Consultant to design and implement AI-powered Contract & Invoice Extraction solutions using Databricks, Azure OpenAI, OCR, RAG, and Agentic AI frameworks to automate intelligent document processing and enterprise workflow automation to join our team in Irving, TX.

Experience: -

8+ Years

Location: -

Irving, TX (Hybrid 3 days' Work from Office)

Duration: -

Contract role with CitiusTech

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

• Data Engineering Design and develop scalable ETL/ELT pipelines using Databricks, Spark, and SQL. Build data ingestion frameworks for structured and unstructured documents. Develop data quality, reconciliation, and validation frameworks.
• Design medallion architecture (Bronze, Silver, Gold) for document processing workflows. Implement metadata management and lineage tracking. Gen AI & Agentic AI Build Intelligent Document Processing (IDP) solutions using LLMs.
• Develop AI agents to perform: Contract clause extraction Invoice validation Payment term identification Business rule evaluation Exception handling workflows Implement RAG (Retrieval Augmented Generation) solutions. Design multi-agent workflows using Microsoft Agentic Framework, LangChain, LangGraph, CrewAI, Semantic Kernel or similar.
• Develop prompt engineering and evaluation frameworks. Build human-in-the-loop review workflows. OCR & Document Intelligence Integrate OCR platforms such as: Azure AI Document Intelligence Azure OCR AWS Textract Google Document AI ABBYY Extract: Vendor information Invoice details PO details Payment schedules Contract clauses Pricing schedules Improve extraction accuracy through AI-assisted validation.
• Stakeholder Management Work closely with business SMEs and invoicing teams. Conduct requirement workshops. Present solution architecture and implementation progress to stakeholders.

Technical Skills

• Databricks Apache Spark (PySpark) SQL Python Azure Data Engineering Data Modeling Gen AI / LLM Integration Agentic AI Frameworks RAG Architecture OCR / Document Intelligence REST API Development AI Technologies Azure OpenAI GPT Models Semantic Kernel LangChain LangGraph CrewAI Vector Databases Cloud Platforms Azure (Preferred) AWS GCP

Preferred Skills

• Contract lifecycle management domain knowledge Accounts Payable / Invoicing experience Knowledge Graph integration experience Healthcare or Financial Services domain experience