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Realign · Addison, TX

Data science/AI Architect

full timePosted today
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Stack mentioned

data-sciencegenerative-aipythonartificial-intelligencellmvector-databasesopenaihugging-faceelasticsearchmlopsragvllm

Addison, Texas 75001 Posted September 10th, 2026

Job Type: Full Time

Job Category: IT

Job Description

Role: Data science/AI Architect

Location: Addison, TX (ONSITE)

Exp: 12+ years

Full Time

Must Have Technical/Functional Skills

Primary Skill: Data science, architecture, genAI architecture

Secondary: Python, communication

Experience: 10+ years

Roles & Responsibilities

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

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