The ideal candidate is a technically strong leader who can guide solution design, coordinate complex implementations, evaluate emerging technologies, and develop high-performing teams. This role provides opportunities for continued leadership growth and increased organizational responsibility over time.
What You'll Be Doing
- Lead, mentor, and develop engineers and technical leads, fostering accountability, growth, and technical excellence.
- Drive delivery of product initiatives, platform enhancements, and customer deployments of TTEC Digital products.
- Coordinate execution across Engineering, QA, DevOps, Product Management, Architecture, and Professional Services teams.
- Develop solution designs, architecture diagrams, and implementation approaches using tools such as Lucidchart, Visio, or similar platforms.
- Lead technical design reviews, implementation planning activities, and delivery readiness efforts.
- Identify and manage technical risks, dependencies, and implementation challenges.
- Research and evaluate emerging AI, customer experience, and contact center technologies.
- Assess integration opportunities across AI platforms and CCaaS solutions to support product innovation and customer needs.
What You'll Bring to the Role
- 8+ years of experience in software engineering, solution architecture, technical leadership, or product development.
- Prior experience managing engineers, technical leads, or software development teams.
- Proven experience delivering complex software implementations across multiple teams and stakeholders.
- Experience with Google AI technologies, conversational AI, virtual agents, Agent Assist, or AI-powered customer experience solutions.
- Working knowledge of Google Cloud Platform (GCP), Kubernetes, cloud-native architectures, APIs, microservices, and distributed systems.
- Experience creating and presenting architecture diagrams and technical solution designs.
- Strong communication, leadership, and stakeholder management skills.
- Experience with Google CCAI, Vertex AI, Gemini, Dialogflow, Agent Assist, or related Google AI technologies.
- Experience with contact center and customer experience platforms such as Genesys Cloud, Amazon Connect, NICE CXone, Five9, Cisco Webex Contact Center, or similar CCaaS solutions.
- Experience evaluating, designing, or implementing integrations between AI platforms and customer experience technologies.
- Familiarity with telephony concepts, SIP-based communications, voice routing, and contact center ecosystems.
- Exposure to DevOps practices, CI/CD pipelines, observability, and SaaS product operations.
- Experience with AWS, Azure, or multi-cloud environments.
- Familiarity with modern AI platforms and services such as AWS Bedrock, Azure AI/Copilot, OpenAI, Anthropic, or similar enterprise AI technologies.