AI Software Architect

Posted 2 Hours Ago
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Highland Heights, OH, USA
Hybrid
Expert/Leader
Hardware • Information Technology
The Role
Design and lead development of cloud-native applications and AI/ML integrations. Define architecture, enforce coding standards, lead POCs, mentor developers, implement RAG/LLM solutions, and support production deployments and CI/CD.
Summary Generated by Built In

 AI Software Architect

The AI Software Architect is responsible for participating in all aspects of the software development life cycle from requirement gathering through user acceptance testing and implementation. In addition, this position will participate in the establishment and enforcement of programming patterns and standards, as well as provide mentorship to junior developers.

 

Responsibilities:

 

  • Collaborate with BAs and end users to interpret requirements into a technical design through onsite requirements gathering sessions, workshops, and solution design reviews.
  • Develop software according to end user requirements and quality standards.
  • Identify, document and implement programming patterns and set standards.
  • Perform code reviews to enforce patterns and standards in our code base while facilitating in-person knowledge sharing and architectural consistency across teams.
  • Lead POCs, design sessions, and pair programming efforts.
  • Mentor junior team members.
  • Participate in project planning and/or provide accurate estimates on projects/tasks through cross-functional planning meetings and stakeholder alignment discussions.
  • Participate in Story Card Grooming and Sprint Planning as requested.
  • Be available as needed to support production deployments.
  • Possess strong organizational and process analysis skills.
  • Effectively communicate both orally and in writing and manage multiple assignments and priorities.
  • Actively teach best practices and new technologies.
  • Hold teaching sessions at least once a year.
  • Facilitate daily standups and lead sprint demos as needed.
  • Assist managing the Azure DevOps task board as needed.
  • Assist with onboarding and training new resources.
  • Participate in interviews upon request.
  • Support, troubleshoot and resolve production issues, including facilitating in-person incident response discussions and cross-functional problem resolution when required.
  • Demonstrate willingness to work on your craft and take initiative in learning new skills.
  • Other duties as assigned.

 

 

 

Basic Qualifications:

 

  • Subject Matter Expert with Visual Studio, GIT and Azure DevOps
  • 10+ years of application development experience across the following technologies:
    • .Net Framework/Core
    • Angular
    • C#
    • JSON
    • SCSS/SASS
    • SQL
    • Test Driven Development/Unit Testing
    • Typescript, ES6
    • Web API/Rest
    • Agile Methodology
    • Asynchronous Programming
    • Azure Data Bricks
    • Azure Data Factory
    • Azure Functions
    • Azure Logic Apps
    • Azure PAAS
    • Browser Compatibility Testing
    • Cosmos DB
    • CQRS Pattern
    • Dependency Injection
    • Entity Framework & LINQ
    • MicroServices
    • OData
    • Python

In addition to core software architecture duties, this position will lead the design, integration, and governance of AI/ML-driven solutions across the application portfolio, ensuring responsible and scalable adoption of AI capabilities.


Additional Responsibilities

 

 

  • Architect and design solutions incorporating AI/ML components, including LLM-based features, intelligent automation, and predictive models.
  • Evaluate and select appropriate AI frameworks, models, and platforms (e.g., Azure AI/OpenAI services, LangChain, vector databases) based on business requirements and technical constraints.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns.
  • Establish patterns and standards for responsible AI use, including data privacy, model governance, bias mitigation, and explainability.
  • Collaborate with data engineering and data science teams to integrate AI/ML models into production applications and CI/CD pipelines.
  • Design scalable architectures for embedding generation, semantic search, and vector storage/retrieval.
  • Evaluate build-vs-buy tradeoffs for AI tooling and vendor platforms.
  • Monitor AI solution performance, cost, and accuracy in production, and drive continuous improvement.
  • Stay current on emerging AI/ML technologies, LLM capabilities, and industry best practices, and evangelize relevant advances to engineering teams.
  • Mentor developers on AI-assisted development tools and practices (e.g., AI coding assistants, automated testing/generation tools).
  • Partner with security and compliance teams to ensure AI solutions meet regulatory and data governance requirements.

Additional Basic Qualifications

 

 

  • Demonstrated experience architecting or building solutions using Large Language Models (LLMs) and generative AI.
  • Experience with prompt engineering, RAG architectures, and vector databases (e.g., Cosmos DB vector search, Pinecone, Azure AI Search).
  • Familiarity with AI/ML orchestration frameworks (e.g., LangChain, Semantic Kernel) and MLOps practices.
  • Working knowledge of Python-based AI/ML libraries and APIs (e.g., OpenAI SDK, Azure OpenAI, Hugging Face).
  • Understanding of responsible AI principles: data privacy, model bias, explainability, and governance.
  • Experience integrating AI capabilities into cloud-native (Azure) application architectures.

Education:


  • Bachelor’s degree or higher in Computer Science or related degree is preferred.

Travel:


  • <5%



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Park Place Technologies is an Equal Opportunity Employer M/F/D/V.


Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to [email protected]. Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • Subject Matter Expert with Visual Studio, GIT and Azure DevOps
  • 10+ years of application development experience
  • Experience with .NET Framework/Core and C#
  • Experience with Angular, TypeScript and ES6
  • Experience with SQL, Entity Framework and LINQ
  • Experience with Azure services: Databricks, Data Factory, Functions, Logic Apps, Azure PaaS
  • Experience with Cosmos DB (including vector search) and other vector databases
  • Experience architecting/building solutions using LLMs and generative AI, including RAG and prompt engineering
  • Familiarity with AI/ML orchestration frameworks and MLOps (e.g., LangChain, Semantic Kernel)
  • Working knowledge of Python-based AI/ML libraries and APIs (OpenAI SDK, Azure OpenAI, Hugging Face)
  • Experience with Microservices, CQRS pattern, Dependency Injection, Web API/REST, and asynchronous programming
  • Experience with Test Driven Development and unit testing; browser compatibility testing
  • Bachelor's degree in Computer Science or related (preferred)

Park Place Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Park Place Technologies and has not been reviewed or approved by Park Place Technologies.

  • Healthcare Strength Healthcare coverage is presented as at‑market or better, with comprehensive medical, dental, and vision offerings for employees and families. Wellness resources and employer‑verified benefit listings reinforce strong core coverage.
  • Retirement Support A 401(k) program is emphasized, with indications of employer matching that strengthen retirement readiness. Public benefits materials point to a solid retirement foundation.
  • Wellbeing & Lifestyle Benefits Wellbeing programs span a global wellness portal, biometric screenings, yoga, smoking‑cessation support, and on‑site amenities at the Cleveland HQ. Onsite childcare and wellness rooms further signal investment in everyday wellbeing where available.

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The Company
HQ: Cleveland, OH
1,697 Employees

What We Do

Park Place Technologies is an IT company that provided organizations around the globe with post-warranty maintenance and support solutions.

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