Job Description

Lead Data Scientist

Location - Denver , CO

Your Role

We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI-powered Customer Experience (CX) platforms. This role is ideal for a hands-on technology leader who combines deep expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and Google Cloud AI services with a strong background in customer engagement and contact center solutions. 

The successful candidate will drive the technical vision and implementation of intelligent, autonomous customer experience platforms leveraging multi-agent systems, Retrieval-Augmented Generation (RAG), workflow automation, and Google Cloud AI technologies. This individual must be equally comfortable defining enterprise architecture, mentoring engineering teams, and writing production-grade code.

Key Responsibilities 

• Define and execute the architecture strategy for AI-powered CX and contact center solutions. 
• Design, build, and deploy Agentic AI systems using autonomous agents, multi-agent collaboration, and workflow orchestration frameworks. 
• Develop intelligent conversational and task-oriented experiences leveraging LLMs and Generative AI technologies. 
• Architect scalable and secure AI solutions on Google Cloud Platform (GCP). 
• Build and optimize RAG pipelines for enterprise knowledge retrieval and contextual AI interactions. 
• Design agent workflows incorporating tool usage, API integrations, function calling, and orchestration capabilities. 
• Lead the implementation of cloud-native microservices and event-driven architectures. 
• Collaborate with business, CX, product, and engineering stakeholders. 
• Establish AI architecture standards, development best practices, governance, and security controls. 
• Mentor engineers and architects while providing technical leadership

Skill and Experience

Agentic AI & Generative AI 
• Multi-agent systems and autonomous AI agents 
• LangChain 
• LlamaIndex 
• Semantic Kernel 
• CrewAI 
• AutoGen 
• Vertex AI Agent Builder 
• Tool-calling agents and workflow automation 
• Retrieval-Augmented Generation (RAG) 
• Prompt engineering 
• AI evaluation and governance 

Large Language Models 
• Google Gemini models 
• PaLM models 
• Enterprise LLM integration patterns 

Google Cloud AI & Platform Expertise 
• Vertex AI (Gemini/PaLM) 
• Vertex AI Agent Builder 
• Dialogflow CX 
• BigQuery 
• Pub/Sub 
• Cloud Run 
• Google Kubernetes Engine (GKE) 
• Cloud Functions 

Required Qualifications 
• 10+ years of software engineering, cloud architecture, or enterprise solution design experience 
• 5+ years of AI/ML or Generative AI experience 
• Proven experience delivering enterprise-scale AI applications on Google Cloud 
• Strong Python development skills 
• Leadership and mentoring experience 

What We're Looking For 

Strong Agentic AI expertise 
Deep GenAI, LLM, and RAG experience 
Extensive Google Cloud and Vertex AI experience 
Customer Experience / Contact Center domain expertise 
Hands-on architect who still codes 
Strong system design and microservices architecture skills 
Proven leadership and mentoring experience 

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