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Digital AI Architect

MetaSense, Inc.United States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Stakeholder ManagementDockerMicroservicesAWSScrumGoogle CloudGraphQLPythonGenerative AIRESTAzureKubernetesAgilePrompt EngineeringCI/CDLangChainRAGSystem Design

Job description

Title: Digital AI Architect

Location: Remote
Duration: Long Term
Interview Mode: Video
Position Overview
We are seeking an experienced Digital AI Architect to lead the design and implementation of AI-driven enterprise solutions. The ideal candidate will have strong expertise in Generative AI, GraphQL, Python, API architecture, and enterprise solution design. This role requires collaborating with cross-functional teams to architect scalable, secure, and intelligent digital platforms that integrate AI capabilities into enterprise applications.
Key Responsibilities
  • Design and architect enterprise-grade AI and Generative AI solutions aligned with business objectives.
  • Develop scalable applications and services using Python and modern software architecture principles.
  • Design, develop, and optimize GraphQL APIs for high-performance data access and integration.
  • Lead API strategy, integration architecture, and microservices design across enterprise platforms.
  • Evaluate and implement Generative AI technologies, including LLMs, prompt engineering, RAG, and AI orchestration frameworks.
  • Define enterprise architecture standards, integration patterns, and technology roadmaps.
  • Collaborate with product owners, engineering teams, and business stakeholders to deliver AI-powered digital solutions.
  • Integrate AI services with cloud platforms, enterprise applications, and third-party APIs.
  • Ensure scalability, security, governance, and performance of AI and API ecosystems.
  • Provide technical leadership, architecture reviews, and mentorship to development teams.
  • Stay current with emerging AI technologies and recommend innovative solutions.
Required Skills
  • 10+ years of software engineering and solution architecture experience.
  • Strong expertise in Python development.
  • Hands-on experience with GraphQL development and API design.
  • Experience building RESTful APIs and enterprise integration solutions.
  • Strong knowledge of Generative AI, LLMs, AI agents, prompt engineering, and RAG architectures.
  • Experience with enterprise architecture and distributed system design.
  • Strong understanding of microservices, event-driven architecture, and cloud-native applications.
  • Experience integrating AI models with enterprise platforms.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
  • Experience with vector databases and AI orchestration frameworks.
  • Familiarity with Kubernetes, Docker, CI/CD, and DevOps practices.
  • Experience working in Agile/Scrum environments.
  • TOGAF or cloud architecture certifications are a plus.

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