Lead Data Scientist at Themesoft Inc Denver, CO

Ellenco Estágios e Treinamentos; Denver (CO); On-site; USD 180,000 - 240,000; Full time

Job summary

Ellenco Estágios e Treinamentos is seeking a senior data science leader to architect and implement AI-powered CX platforms on Google Cloud. You will drive multi-agent systems, RAG pipelines, and enterprise AI governance while mentoring engineering teams.

Strong Python and cloud experience are essential for delivery at scale. The role requires hands-on leadership, deep knowledge of Vertex AI tools, and collaboration with CX, product, and engineering stakeholders to shape a cutting-edge, secure AI

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.

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.

Skills

Agentic AI

Generative AI

Multi-agent systems

LangChain

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Vertex AI Agent Builder

Tool-calling agents

RAG

Prompt engineering

AI governance

LLM integration

Google Cloud AI

Vertex AI

Dialogflow CX

BigQuery

Pub/Sub

Cloud Run

GKE

Cloud Functions

Python

Leadership

Tools

Vertex AI Agent Builder

Dialogflow CX

BigQuery

Pub/Sub

Cloud Run

GKE

Cloud Functions

Job description

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.

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‑? (maybe?) ? blah blah**company details** blah blah Strong system design