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Themesoft Jobs (NOW HIRING)

Overview: 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 ...

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Themesoft information

What is the difference between Themesoft vs Salesforce Developer?

CriteriaThemesoftSalesforce Developer
Required CredentialsTypically requires knowledge of web development, programming languages, and project managementRequires Salesforce certifications like Salesforce Certified Platform Developer
Work EnvironmentOften works in web development agencies, IT firms, or as part of client projectsWorks within organizations using Salesforce CRM, often in tech or sales departments
Employer & Industry UsageUsed by companies needing custom web solutions, including healthcare, finance, and retailUsed by companies implementing Salesforce CRM for sales, service, and marketing

While Themesoft focuses on web development and project management, Salesforce Developers specialize in customizing and building solutions within the Salesforce platform. Both roles require technical skills but serve different industry needs and environments.

What are the key skills and qualifications needed to thrive as a Themesoft employee, and why are they important?

To thrive at Themesoft, a technology solutions company, you generally need expertise in software development, IT consulting, and related technical skills, often supported by a relevant degree or certifications. Familiarity with programming languages, cloud platforms, and project management tools is commonly required. Strong problem-solving abilities, teamwork, and effective communication are key soft skills that set individuals apart. These competencies are critical for delivering high-quality technology solutions and collaborating with global clients in dynamic environments.

What is it like to work as an IT consultant at Themesoft, and how does the company support professional growth?

As an IT consultant at Themesoft, you can expect to work on diverse technology projects for clients across various industries, often collaborating with cross-functional teams. The role involves problem-solving, adapting to new client environments, and frequent communication with stakeholders. Themesoft supports professional growth through ongoing training, mentorship programs, and opportunities to work with cutting-edge technologies, enabling consultants to advance into senior or specialized roles over time.

What is Themesoft?

Themesoft is an information technology services company that provides staffing solutions, consulting, and technology services to businesses across various industries. They specialize in areas such as software development, digital transformation, cloud computing, and IT staffing. Themesoft partners with clients to deliver customized solutions that help improve business operations and drive digital innovation. Their services are designed to meet the specific needs of organizations, whether through managed services, project-based work, or augmenting existing teams.
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Infographic showing various Themesoft job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Lead Data Scientist

Themesoft, Inc.

Denver, CO • On-site

Full-time

Posted 6 days ago


Job description

Overview:
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
Skills:
Data Scientist