AI Architect / AI Engineer (AWS & Data Agents)

Xinova Group is a Fortune 500 Electronics manufacturer seeking a hands-on AI Architect / AI Engineer to scale enterprise AI capabilities. This role involves architectural leadership and hands-on development, focusing on AI architecture, data engineering, and generative AI implementation to transition traditional BI workflows into AI-driven solutions.

Responsibilities:

• Define and implement enterprise AI architecture patterns for generative AI and intelligent data agents
• Translate business vision and AI product requirements into scalable technical architectures
• Ensure solutions align with AWS cloud architecture standards and best practices
• Design frameworks for deploying and orchestrating LLM-based systems across the enterprise
• Design and build AI-powered data agents that interact with enterprise data systems
• Develop architectures that enable natural language access to business intelligence and reporting systems
• Lead development of Model Context Protocol (MCP) capabilities and intelligent agent frameworks
• Implement AI solutions that integrate with enterprise data platforms
• Be hands-on with code , developing POCs to validate architectures and accelerate delivery
• Prototype AI capabilities using AWS generative AI services and modern AI frameworks
• Establish reference architectures and reusable frameworks for engineering teams
• Enable the transition from traditional BI reporting to AI-driven analytics
• Integrate AI solutions with enterprise data platforms including:
• Snowflake
• Data transformation layers
• Semantic data models
• Design systems that support financial reporting, sales reporting, and operational analytics use cases
• Partner with AI Product Managers to translate product vision into scalable architectures
• Work closely with nearshore AI engineers and data teams to implement solutions
• Provide technical leadership and mentorship to engineering teams building AI applications

Requirements:

• 8+ years experience in software engineering, data engineering, or cloud architecture
• 3+ years working with AI / ML systems or generative AI architectures
• Strong experience with AWS cloud architecture
• Hands-on experience building LLM-powered applications or AI agent systems
• Experience designing enterprise data architectures
• Ability to move between high-level architecture and hands-on development
• Amazon Web Services (AWS)
• Experience with Amazon Bedrock
• Serverless and microservice architectures
• Cloud-native AI deployment patterns
• Generative AI architectures
• LLM orchestration frameworks
• AI agent design patterns
• Model Context Protocol (MCP) implementations
• Prompt engineering and AI pipelines
• Snowflake
• Data transformation tools such as dbt
• Semantic data layers
• Enterprise data modeling
• Python or similar backend language
• API and microservice development
• Data pipelines and distributed systems
• Experience implementing enterprise AI platforms at scale
• Background in consumer electronics or manufacturing
• Experience with financial reporting and sales analytics systems
• Familiarity with modern AI agent frameworks and orchestration tools
• Strong understanding of enterprise BI ecosystems and semantic layers