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AI Architect
Job Location:
Job Location:
Addison, TX - USA
Yearly Salary:
USD 120000 - 140000
Yearly Salary:
Posted:
9 October 2026 (Yesterday)
Posted:
Application Deadline:
6 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
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.
- Masters 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.
- 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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Required Experience:
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