Data science/AI Architect

REALIGN LLC; Addison (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

REALIGN LLC in Addison, TX is seeking a Data science/AI Architect to design and scale enterprise-grade Document AI platforms for the financial services industry, onsite in Addison. You will lead architecture for document classification, data extraction, and RAG solutions, partnering with engineering, product, and compliance teams.

The role requires 10+ years of experience, a Master’s in a technical field, and strong Python, FastAPI, and LangChain skills, plus experience with GPU optimization,

Qualifications

• 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI.
• Hands-on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch).
• Strong Python development skills, including Fast API and Lang Chain.
• Experience with GPU optimization, cloud-native deployments, and ML Ops practices.
• Excellent communication and presentation skills, including presenting to executive leadership.

Responsibilities

• Design and scale enterprise-grade Document AI platforms for the financial services industry.
• Lead architecture for document classification, data extraction, and Retrieval-Augmented Generation (RAG) solutions.
• Architect GenAI solutions for large-scale document processing, extraction, and question-answering.
• Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs.
• Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton.
• Drive model risk management, explainability, auditability, and evaluation frameworks.
• Create architecture diagrams, technical documentation, and executive-level presentations.
• Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

Skills

Data science

Architecture

GenAI architecture

Python

FastAPI

LangChain

LLMs

Embeddings

Vector search

GPU optimization

Cloud-native

ML Ops

Communication

Education

Master's degree in CS/DS

Tools

OpenAI

Hugging Face

Llama

Elasticsearch

vLLM

Triton

FastAPI

LangChain

Job description

Addison, Texas 75001 Posted September 10th, 2026

Job Description

Role: Data science/AI Architect

Location: Addison, TX (ONSITE)

Primary Skill: Data science, architecture, genAI architecture

Secondary: Python, communication

Experience: 10+ years

Exp: 12+ years
Full Time

Job Type: Full Time

Job Category: IT

Required Experience & Technical Skills

• 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI.
• Hands-on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch).
• Strong Python development skills, including Fast API and Lang Chain.
• Experience with GPU optimization, cloud-native deployments, and ML Ops practices.
• Excellent communication and presentation skills, including presenting to executive leadership.

Education & Professional Attributes

• Master’s degree in computer science, Data Science, or a related technical discipline.
• Experience collaborating with diverse business and technology stakeholders across multiple Lines of Business.
• Highly motivated self-starter with strong ownership and ability to execute independently.
• Strong critical thinking and problem-solving capabilities.
• Ability to navigate enterprise data assets across multiple functions.
• Highly organized with the ability to manage multiple priorities in a fast-paced environment.
• Strong analytical and customer-focused mindset.

Key Responsibilities

• Design and scale enterprise-grade Document AI platforms for the financial services industry.
• Lead architecture for document classification, data extraction, and Retrieval-Augmented Generation (RAG) solutions.
• Architect GenAI solutions for large-scale document processing, extraction, and question-answering.
• Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs.
• Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton.
• Drive model risk management, explainability, auditability, and evaluation frameworks.
• Create architecture diagrams, technical documentation, and executive-level presentations.
• Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

Required Skills

Performance Architect