The Architect, Product Development is a technical leadership role within TTEC Digital's Product Development organization, responsible for delivering AI-powered Customer Experience (CX) and contact center solutions across the company's proprietary product portfolio. This role combines people leadership, solution architecture, and implementation oversight to drive successful product initiatives and customer deployments. The Architect will lead engineers and technical leads while partnering closely with Product Management, Architecture, QA, DevOps, and Professional Services to ensure successful delivery and operational readiness.
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.

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.

$160,000 - $170,000 a year

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This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.

Benefits available to eligible employees include the following:

- Medical, dental, vision

- tax-advantaged health care accounts

- financial and income protection benefits

- paid time off (PTO) and wellness time off.

This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.