Principal AI Solutions Architect

Oran, Inc.

$150K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in Enterprise Architecture, Cloud Engineering, Systems Architecture, or Solution Architecture.
  • 5+ years of hands-on experience with AWS cloud architecture.
  • Expertise in AI/ML architecture, Generative AI, Large Language Models (LLMs), and AI orchestration frameworks.
  • Experience using Model Context Protocol (MCP), AI Guardrails, and Responsible AI frameworks.
  • Strong background in designing distributed systems, enterprise integrations, and cloud-native platforms.
  • Proficient in API architecture, Event-driven systems, Kubernetes, Docker, and serverless computing.
  • Familiar with Infrastructure as Code tools like Terraform and CloudFormation.

Responsibilities

  • Design and implement enterprise-scale AWS cloud architectures for AI/ML workloads.
  • Architect scalable, resilient, and secure cloud-native solutions using microservices, containers, and APIs.
  • Lead architecture efforts for Generative AI platforms and AI orchestration processes.
  • Implement AI governance frameworks and ensure compliance with security standards.
  • Develop MLOps pipelines for model training, deployment, and lifecycle management.
  • Collaborate with DevSecOps to set up CI/CD pipelines and security automation.
  • Provide technical leadership and evaluate emerging AI technologies for enterprise integration.

Benefits

  • Opportunity to lead innovative AI and cloud solutions that guide digital transformation.
  • Collaborative work environment with cross-functional teams to drive technological advancements.
  • Focus on AI governance, ethical AI, and responsible technology use.
  • Exposure to cutting-edge AI technologies and practices in a fast-paced industry.
  • Professional development opportunities including certifications and training.
Full Job Description
Position Overview

We are seeking an experienced Principal AI Solutions Architect to lead the design and implementation of secure, scalable, and enterprise-grade AI and cloud solutions supporting large-scale digital transformation initiatives.

This role requires deep expertise in AWS cloud architecture, Generative AI ecosystems, enterprise systems integration, MLOps, AI governance, and cloud-native application design. The ideal candidate will serve as a strategic technical leader responsible for architecting AI-enabled platforms while ensuring security, compliance, governance, and operational excellence.

The architect will collaborate closely with enterprise leadership, data engineering teams, cybersecurity, DevSecOps, and application development teams to drive innovation using modern AI technologies including LLMs, RAG architectures, MCP (Model Context Protocol), AI Guardrails, and enterprise AI orchestration frameworks.

Key Responsibilities
  • Design and implement enterprise-scale AWS cloud architectures supporting AI/ML and GenAI workloads.
  • Architect scalable, resilient, and secure cloud-native solutions using:
    • Microservices
    • Containers
    • APIs
    • Event-driven architectures
    • Serverless computing
  • Lead architecture and integration efforts for:
    • Generative AI platforms
    • LLM orchestration
    • AI agents
    • RAG pipelines
    • Vector databases
    • Knowledge graph integrations
  • Design and implement AI governance frameworks including:
    • Responsible AI
    • AI Guardrails
    • Model monitoring
    • Risk management
    • Compliance controls
  • Implement and support MCP (Model Context Protocol) integrations and AI interoperability solutions.
  • Architect enterprise MLOps pipelines for:
    • Model training
    • Validation
    • Deployment
    • Observability
    • Lifecycle management
  • Design secure AI solutions leveraging AWS services such as:
    • SageMaker
    • Bedrock
    • Lambda
    • ECS/EKS
    • API Gateway
    • DynamoDB
    • S3
    • IAM
    • CloudWatch
  • Collaborate with DevSecOps teams to implement:
    • CI/CD pipelines
    • Infrastructure as Code (Terraform/CloudFormation)
    • Security automation
    • Compliance scanning
  • Develop architecture standards, governance models, and technical roadmaps.
  • Provide technical leadership, mentoring, and architectural guidance across engineering teams.
  • Evaluate emerging AI technologies and recommend enterprise adoption strategies.
  • Support enterprise modernization initiatives aligned with scalable AI adoption and cloud transformation goals.

Required Qualifications
  • 10+ years of experience in:
    • Enterprise Architecture
    • Cloud Engineering
    • Systems Architecture
    • Solution Architecture
  • 5+ years of hands-on AWS cloud architecture experience.
  • Strong expertise in:
    • AI/ML architecture
    • Generative AI
    • Large Language Models (LLMs)
    • AI orchestration frameworks
    • MLOps
  • Experience with:
    • MCP (Model Context Protocol)
    • AI Guardrails
    • Responsible AI frameworks
  • Strong experience designing:
    • Distributed systems
    • Enterprise integrations
    • Cloud-native platforms
  • Expertise in:
    • API architecture
    • Event-driven systems
    • Kubernetes
    • Docker
    • Serverless computing
  • Experience with Infrastructure as Code:
    • Terraform
    • CloudFormation
  • Strong DevSecOps and CI/CD implementation experience.
  • Strong understanding of:
    • Security architecture
    • Governance
    • Compliance
    • Enterprise cloud controls
  • Strong communication and stakeholder management skills.

Preferred Qualifications
  • AWS Certified Solutions Architect - Professional
  • AWS AI/ML Specialty Certification
  • Experience with:
    • LangChain
    • OpenAI APIs
    • Bedrock Agents
    • Vector databases
    • Knowledge Graphs
    • RAG architectures
  • Experience implementing enterprise AI governance and Responsible AI initiatives.
  • Familiarity with enterprise modernization and digital transformation initiatives.

Technical Skills
  • AWS Cloud Architecture
  • Generative AI / GenAI
  • LLM Integration
  • MCP (Model Context Protocol)
  • AI Guardrails
  • Responsible AI
  • MLOps
  • Terraform / CloudFormation
  • Kubernetes / Docker
  • Python
  • API Design
  • DevSecOps
  • CI/CD Pipelines
  • Enterprise Systems Integration
  • Data & AI Governance
  • RAG Architectures
  • Vector Databases
  • Bedrock / SageMaker

Similar Jobs

More Jobs at Oran, Inc.

More Enterprise Technology Jobs

Find similar Principal AI Solutions Architect jobs: