Architect, Product Development

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

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.

Preferred Qualifications

- 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.