Senior AI & Data Engineering Consultant OCR experience is not required.

Talentola; Chicago (IL); Hybrid; USD 140,000 - 190,000; Part time

Job summary

CitiusTech is seeking a Senior AI & Data Engineering Consultant to design and implement AI-powered Contract and Invoice Extraction solutions. The role involves Databricks, Azure OpenAI, OCR, and agentic AI frameworks to automate enterprise workflows.

Fully remote not available; the position is based in Irving, TX with a hybrid work arrangement (3 days in office). Requires 8+ years of experience and an engineering degree.

Qualifications

• 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.

Responsibilities

• Stakeholder workshops and progress updates.
• Collaborate with business SMEs and invoicing teams to implement solutions.
• Lead design of AI-powered IDP workflows using Gen AI and LLMs.

Skills

Data engineering

ETL/ELT pipelines

AI concepts

Stakeholder collaboration

Education

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

Technical certifications (desirable)

Tools

Databricks

Apache Spark

Python

Azure OpenAI

OCR / Document Intelligence

RAG / Agentic AI frameworks

REST APIs

LangChain / LangGraph

Job description

Senior AI & Data Engineering Consultant

Who we are: -

At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.

Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.

Our vision: -

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

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