AI Workforce Consultant at KLA designing AI literacy experiences and enabling adoption across teams. Focused on responsible AI use and transformation of workforce capabilities.
About the role
- AI/ML Architect designing scalable AI systems at Ccube, integrating cutting-edge GenAI platforms and microservices architecture. Focused on architecture, integration, and intelligent solutions.
Responsibilities
- Design and own end-to-end architecture for scalable, secure, production-ready AI systems
- Build and architect microservices using Python or Java
- Integrate LLMs, RAG pipelines, and Agentic AI frameworks into enterprise applications
- Work with MCP (Model Control Plane), A2A (Agent-to-Agent) communication, and orchestration frameworks like LangChain
- Evaluate and recommend AI platforms (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.)
- Translate complex business problems into intelligent, AI-driven technical solutions
- Lead architectural discussions with product, data science, and platform teams
- Ensure alignment with enterprise standards, cloud best practices, and security
Requirements
- 8–10+ years of backend engineering experience (Python/Java)
- Strong expertise in microservices & cloud-native architecture
- Production-level RAG implementation experience
- Hands-on exposure to LLMs, prompt engineering, AI agents
- Experience with LangChain, Agentic AI, or similar frameworks
- Solid understanding of API design, event-driven systems
- Experience with Docker, Kubernetes, CI/CD pipelines
Benefits
- Startup culture with opportunity to grow
- Performance bonuses
- Company stock options
- Health, dental and vision insurance plans
- Pursue growth and learning with career development expenses
- Volunteer and support education for kids & skills development for adults
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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