Apply Now

AI Platform Architect

Charlotte, NC, US • Posted 7 hours ago • Updated 7 hours ago

Contract Independent

Contract W2

No Travel Required

On-site

$55 - $65/hr

CogniSoft Technologies

Fitment

Dice Job Match Score™

📋 Comparing job requirements...

Job Details

Skills

Data Engineering
Amazon Web Services
Ansible
Artificial Intelligence
Database Administration
Banking
GPU
Jenkins
MRM
Management
Cloud Computing
Microsoft Certified Professional
Python
Regulatory Compliance
Continuous Delivery
Continuous Integration
DevOps
Microsoft Azure
Risk Management
Servers
Use Cases
Vector Databases

Summary

Role: AI Platform Architect

Location: Addison, TX/ Charlotte, NC- Onsite

Role Overview

We are looking for an AI Platform Engineer—a builder who can architect the "factory" where AI is made.
Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.

Key Responsibilities

Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.

Required Technical Skills

Expert Python: Deep, hands-on knowledge is mandatory.
Data Engineering: Extensive experience in massive data ingestion and processing.
RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.

Experience & Qualifications

Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.

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.

Dice Id: 10527831
Position Id: 8958137
Posted 7 hours ago

Company Info

About CogniSoft Technologies

CogniSoft Technologies focuses on providing niche Business Intelligence & Data Analytic solutions to businesses across various industries. We are Tableau Alliance Partners. We are also an SAP certified Company.

We are a team of experienced, dedicated, hardworking, and innovative professionals who have had proven their expertise in different business verticals such as Banking and Financial Industry, Healthcare, Supply chain, Insurance, Software Development, IT consulting, Business consulting etc.

Go to company profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Architect (Full Stack Generative AI)

Charlotte, North Carolina

•

2d ago

Role:AI Architect (Full Stack Generative AI)Location:Phoenix, AZ or Charlotte, NC, USA (3 days onsite)Duration: 12+ MonthsIn person interview is requiredCore Skill Requirements68 years of strong experience in Java development, including proficiency in Spring / Spring Boot.45 years of experience with Python, focused on backend or data-driven development.Deep understanding of Reactive Programming (Web Flux, etc.)Hands-on experience with Apache Kafka for event-driven architectures.Experience with

Easy Apply

Contract

65 - 70

Generative AI Consultant

Charlotte, North Carolina

•

2d ago

Role:Generative AI ConsultantLocation: CA,NC and AZDuration: 12+ MonthsRole:Client is seeking a Generative AI Consultant to drive innovation and efficiency by leveraging cutting-edge AI/ML technologies. The consultant will collaborate with business and technology teams to design, develop, and deploy generative AI solutions that enhance customer experience, streamline operations, and support strategic initiatives.Key Responsibilities:Partner with stakeholders to identify opportunities for applyin

Easy Apply

Contract

60 - 70

Python with Ansible & reporting tool IAC

Hybrid in Charlotte, North Carolina

•

Today

We are seeking a Data platform automation engineer experienced withPython, Ansible,along withPower BI for reporting automationdesign and build. This role focuses on building platform capabilities, not simply consuming existing data tools. The ideal candidate has strong experience working on Automation using Python and Ansible, and operating them as reusable platform services.A proven background in CI/CD automation using GitHub Actions is required, along with solid software engineering practices

Easy Apply

Full-time

Depends on Experience

Databricks Engineer

Remote

•

2d ago

Role: Databricks EngineerLocation:REMOTEDuration: Contract to hire after 6-month termWe are looking for a hands-on Databricks Engineer with strong AWS experience to design, build, and optimize scalable data pipelines and lakehouse solutions. The role focuses on implementing robust batch and streaming data solutions using Databricks, Delta Lake, and AWS cloud-native services, ensuring high performance, scalability, and security.Key Responsibilities Build and maintain end-to-end data pipelines us

Easy Apply

Full-time

65 - 75

Search all similar jobs