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