Director, AI Software Development

Percepta•Englewood, CO

109d•Hybrid

About The Position

Your potential has a place here with TTEC’s award-winning employment experience. As a Director of AI Software Development working Hybrid in Denver, CO, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in the United States says it all!

Requirements

Advanced degree in Computer Science, Engineering, or related field
10+ years of software development experience with senior technical leadership
5+ years of hands-on AI/ML development, including 2+ years in GenAI and LLMs
Expertise in AI agent development and autonomous decision-making
Proficiency in Python and at least two of: Golang, .NET/C#, Java
Experience with GenAI platforms (OpenAI, Claude, Gemini, etc.)
Knowledge of ML/AI frameworks (LangChain, LlamaIndex, RAG architectures)
Cloud experience (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Familiarity with development tools (Jira, GitHub, CI/CD, agile platforms)
Proven ability to build and scale engineering teams
Strong business acumen and stakeholder management
Experience managing technical budgets and resource planning

Responsibilities

Define and execute the AI software development strategy aligned with TTEC's business objectives and customer experience vision
Build, mentor, and scale high-performing engineering teams focused on AI agent development and GenAI applications
Establish technical standards, best practices, and architectural frameworks for AI/ML application development
Drive innovation roadmap for AI-powered solutions including intelligent agents, conversational AI, and automation platforms
Partner with business leaders to identify AI opportunities that deliver measurable business value
Manage portfolio prioritization, resource allocation, and delivery timelines
Lead architecture and design reviews for complex AI systems
Contribute code and provide technical guidance
Design and architect enterprise-grade AI agent frameworks and GenAI platforms
Establish DevSecOps practices and CI/CD pipelines
Ensure adherence to software engineering best practices and compliance
Champion agile methodologies and continuous improvement
Establish metrics and KPIs to measure development velocity and impact
Foster a culture of experimentation and rapid iteration
Ensure robust monitoring and operational excellence for production AI systems