Senior AI Solutions Architect (RAG & Vector Databases)

  • Columbus, OH
  • Posted 3 days ago | Updated 3 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

AI
Architect
Vector Databases
LLM
NLP

Job Details

Role: Senior AI Solutions Architect (RAG & Vector Databases)

Location: Columbus, OH (Onsite)

Position will lead the design, development, and implementation of a modern application infrastructure utilizing Vector Databases, Retrieval-Augmented Generation(RAG), and other Artificial Intelligence (AI) technologies. This initiative is crucial for significantly enhancing internal users' ability to find applicable documents, content, and information required to be knowledgeable about Department policies and initiatives.

The Senior Architect contractor is required due to the specialized nature of implementing AI/ML infrastructure, particularly Vector Databases and RAG systems, and the need for immediate, focused expertise that is not currently available internally.

As outlined in the standard description, the Senior Architect will:

Key Activities

Relevance to AI Implementation

Design & Development

Define the end-to-end technical architecture for the new AI-powered search system, including selection and integration of the Vector Database, RAG framework, and associated AI models.

Implementation

Oversee and execute the deployment of the new application infrastructure, ensuring it meets highly-available and highly-performant requirements for real-time internal querying.

Consultation & Analysis

Consult with internal stakeholders (clients) to define user needs, analyze current content structures, and advise on optimal data preparation and indexing strategies for the Vector Database.

Vision & Problem Solving

Provide the technical vision for leveraging generative AI to solve complex content retrieval problems, anticipating future scaling needs and data volume challenges.

Independent Execution

Utilize their proven experience in defining systems and application architecture to perform a variety of complicated tasks with minimal or no direct supervision, ensuring rapid, high-quality delivery of the solution.

Skill

Required / Desired

Amount

of Experience

Experience with utilizing Natural Language Processing (NLP) in data retrieval.

Required

Experience with implementing Large Language Models (LLM s)

Required

Experience with implementing Vector Databases within an enterprise.

Required

Experience safeguarding confidential information.

Required

Experience working with the government sector.

Required

Ability to lead a team.

Required

Strong communication/ leadership skills.

Required

Strong influence, collaboration and negotiation experience.

Required

Ability to collaborate with supporting resources across business and/or functional lines.

Required

Have excellent oral and written skills/possess strong meeting and work session facilitation skills.

Required

Have the ability to work independently and as part of a team, the ability to manage time and resources to meet assigned deadlines.

Required

Have strong understanding of prioritization stemming from the elicitation of system and/or user requirements.

Required

Have excellent organizational skills, proven analytical, planning, problem solving, and decision-making skills

Required

Must be knowledgeable in the English language/speak clearly and understandably use the English language

Required

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.