Lead Data Scientist at Themesoft Inc Denver, CO

Lead Data Scientist
- Location:

Denver, CO

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.

• 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.

• Multi‑agent systems and autonomous AI agents
• Lang Chain
• Llama Index
• Semantic Kernel
• CrewAI
• Auto Gen
• Vertex AI Agent Builder
• Tool‑calling agents and workflow automation
• Retrieval‑Augmented Generation (RAG)
• Prompt engineering
• AI evaluation and governance

• Google Gemini models
• PaLM models
• Enterprise LLM integration patterns

• Vertex AI (Gemini/PaLM)
• Vertex AI Agent Builder
• Dialogflow CX
• Big Query
• Pub/Sub
• Cloud Run
• Google Kubernetes Engine (GKE)
• Cloud Functions

• 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

Strong Agentic AI expertise Deep GenAI, LLM, and RAG experience Extensive Google Cloud and Vertex AI experience Customer Experience / Contact Center domain expertise Hands‑? (maybe?) ? blah blah
** company details
** blah blah Strong system design