Director, AI Software Development

TTECEnglewood, CO
58d$170,000 - $180,000Hybrid

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

Benefits

  • An annual incentive program
  • Medical, dental, and vision
  • Tax-advantaged health care accounts
  • Financial and income protection benefits
  • Paid time off (PTO) and wellness time off
  • Tuition reimbursement and access to thousands of free online courses
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