AI Architect

Diverse Lynx, LLC; Addison (TX); On-site; USD 120,000 - 140,000; Full time

Job summary

Diverse Lynx LLC in Addison, TX is seeking an AI Architect to design and scale enterprise-grade Document AI platforms for the financial services sector. You will lead architecture for classification, extraction and Retrieval-Augmented Generation (RAG) solutions.

The role requires 10+ years of experience, strong Python skills, and hands-on work with LLMs, embeddings, and vector search technologies. You will collaborate with infra, product and compliance to deliver secure AI solutions.

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 such as OpenAI, Hugging Face, Llama, Elasticsearch.
• Strong Python development skills and experience with AI-related tooling.
• Experience communicating with executive leadership and stakeholders.

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 with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

Skills

Data science

Architecture

GenAI architecture

Python

Communication

Education

Master's degree in Computer Science

Master's in Data Science

Tools

OpenAI

Hugging Face

Llama

Elasticsearch

Job description

Job Description:

Job Role :- AI Architect

Location:- Addison, TX (Day 1 Onsite)

Job Type: Full Time

Salary Range: $120000 to $140000/Annum + Full Time Benefits

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 FastAPI and LanEligible to workhain.
• Experience with GPU Eligible to workimization, cloud-native deployments, and MLOps 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 Consultantly.
• 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 Eligible to workimize 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.

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