8442 - AI Architect / AI Platform Architect

8442 - AI Architect / AI Platform Architect

Contract Type:

Location:

 -

Industry:

Contact Name:

Steven Whatley

Contact Email:

SWhatley@trisearch.com

Contact Phone:

720-452-1141

Date Published:

11-Sep-2025

Job Reference:

3428442

Job Description

Job Title: AI Architect / AI Platform Architect

Location: Remote North America, Eastern Time Zone

Type: Full-Time


About the Role


Adeptia is seeking an AI Architect to design and implement intelligent automation capabilities within our enterprise integration platform. You’ll define the technical architecture, design patterns, and system integrations that bring agentic intelligence into Adeptia’s product suite.


This is a hands-on technical leadership role — you will architect solutions, lead a development team, and work closely with Product Management and Architecture to deliver scalable, secure, and production-ready AI services.


Your work will establish the foundation for how Adeptia transforms Its product to deliver enterprise-grade AI automation.


Key Responsibilities


Architectural Design & Implementation

  • Define and implement the technical architecture for Adeptia’s AI features — including LLM orchestration, retrieval-augmented generation (RAG) pipelines, and agentic automation modules that integrate with cloud-hosted LLMs (Azure OpenAI, AWS Bedrock, Google Vertex AI).
  • Design and maintain data and retrieval frameworks that ground LLM responses in enterprise context, ensuring reliability and business relevance.
  • Develop robust prompt management, context handling, and response validation systems to standardize and stabilize AI-driven outputs.
  • Build and evolve APIs, SDKs, and microservices that embed AI capabilities into Adeptia’s enterprise integration platform.
  • Evaluate, prototype, and integrate modern AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Bedrock Agents) to accelerate feature delivery.
  • Establish AI architecture standards, reusable components, and governance patterns that ensure scalability, maintainability, and compliance across deployments.


Team Leadership & Collaboration

●     Lead a small team of software developers and ML engineers; provide mentorship, code reviews, and technical guidance.

●     Collaborate with product managers to translate business goals into technical deliverables.

●     Partner with QA and DevOps to ensure scalable deployment, monitoring, and continuous improvement of AI services.

●     Evaluate emerging AI technologies and frameworks to inform platform evolution and innovation.


Implementation & Delivery

●     Develop APIs, SDKs, and connectors that enable integration of AI features into Adeptia’s core workflows.

●     Implement AI workflow orchestration frameworks (e.g., LangChain, Semantic Kernel, Bedrock Agents) for modular and composable automation.

●     Optimize AI models for latency, accuracy, and cost efficiency.

●     Establish coding standards, testing practices, and CI/CD for AI projects.

●     Ensure all AI implementations meet enterprise-grade standards for privacy, governance, and auditability.

Qualifications

●     7+ years of software engineering experience, including system design and architectural leadership in enterprise environments.

●     Hands-on experience integrating LLM services such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.

●     Proven expertise in RAG architectures, prompt management, and AI workflow orchestration frameworks.

●     Strong programming proficiency in Python, Java, or equivalent, with a focus on API development and microservice architecture.

●     Experience with data pipelines, event-driven systems, and cloud-native deployments (AWS, Azure, or GCP).

●     Deep understanding of AI security, compliance, and lifecycle management in production environments.

●     Demonstrated ability to lead small technical teams and deliver complex AI solutions end-to-end.

●     Experience implementing AI observability, monitoring, and feedback loops for continuous model improvement.

Preferred Skills

●     Exposure to enterprise integration platforms like Adeptia Connect, MuleSoft, Boomi, or Celigo.

●     Familiarity with process mining, intelligent document processing (IDP), or low-code AI orchestration tools.

●     Knowledge of AI safety, agent alignment, and data quality principles in production settings.



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