Jobs at TTEC Digital

Lead client-facing architecture for Microsoft Data & AI solutions, translating business priorities into secure, governed, scalable architectures and modernization roadmaps. Design lakehouse, batch and streaming platforms using Fabric, Databricks, Azure, Power BI, and related governance tools. Architect AI-ready data platforms supporting generative AI, agentic AI, RAG, vector search, and enterprise data agents. Support presales, proposals, estimation, executive presentations, implementation guidance, and mentorship of architects and engineering teams.

Leads enterprise transformation programs and projects for NICE CXone and cloud telephony solutions. Manages client relationships, implementation delivery, project teams, schedules, resources, financial reporting, risks, change management, governance, and executive communications. Oversees teams of 3–50 people and projects with consulting services valued at $500,000–$10,000,000. The role requires consulting experience, multiple delivery methodologies, stakeholder management, and travel up to 30%.

Drives new-business growth for CCaaS and customer experience solutions across enterprise and upper mid-market accounts. Responsibilities include prospecting, pipeline generation, strategic account planning, executive engagement, complex sales-cycle leadership, RFP responses, solution positioning, forecasting, contract negotiation, and quota attainment. The role collaborates with architects, consultants, delivery teams, and technology partners to sell multi-vendor technology and professional services solutions.

Implements, develops, tests, and supports NICE CXone and CCaaS solutions for enterprise clients. Designs omnichannel and process-automation solutions, resolves defects, supports production, presents to executive stakeholders, develops solution pitches, and mentors software engineers. The role combines technical consulting, platform architecture, software development, client engagement, and project delivery using technologies including CXone Studio, C#, ASP.NET, JavaScript, Python, Java, and C++.

The Genesys Platform Adoption Specialist manages configuration changes within the Genesys Cloud platform, handling multiple concurrent requests while collaborating with team members. They ensure high-quality implementations and stay updated with the platform's capabilities.

Leads TTEC Digital’s GCP data engineering practice, including enterprise data architecture, ingestion pipelines, real-time analytics, lakehouse platforms, governance, security, GenAI infrastructure, and cloud cost optimization. Oversees GCP solution delivery, client and executive engagements, presales support, CI/CD, infrastructure as code, data quality, and monitoring. Manages and mentors agile engineering teams while driving talent development, certifications, and practice growth.

Design and deploy enterprise Amazon Connect contact center solutions across voice and digital channels. Build serverless AWS integrations, infrastructure-as-code deployments, contact flows, routing, IVR, WFM capabilities, reporting, and global rollout configurations. Partner with client and AWS teams on architecture, Agile delivery, technical workshops, documentation, and knowledge transfer. The role requires hands-on coding, cloud engineering, Amazon Connect implementation experience, and technical leadership across complex enterprise programs.

Leads technical operations and service delivery for managed-services clients, overseeing platform health, incidents, changes, upgrades, ITIL compliance, service reviews, and continuous improvement. Serves as the primary operational advisor, coordinates internal teams and vendors, manages client communications, supports renewals, SOWs, invoicing, requirements gathering, and transitions from implementation to Day 2 support. Mentors technical resources and identifies opportunities to improve services, expand accounts, and strengthen client satisfaction.

Leads TTEC Digital’s GCP data engineering practice, setting architecture and engineering standards while overseeing enterprise data platform delivery. Designs scalable ingestion, lakehouse, streaming, governance, security, GenAI, vector search, and RAG infrastructure using Google Cloud. Partners with executives and clients on solution delivery and presales, establishes CI/CD, Terraform, testing, monitoring, and FinOps practices, and manages, mentors, and scales agile data engineering teams.

Owns day-to-day delivery of Salesforce implementation and consulting engagements, including schedules, budgets, resource plans, forecasts, scope, risks, issues, dependencies, status reporting, governance, change control, testing, UAT, deployment, and project closure. The role coordinates cross-functional global teams, manages client and internal stakeholders, facilitates Agile, Waterfall, or hybrid ceremonies, and ensures delivery aligns with Statements of Work, budgets, timelines, and quality standards.

Leads engineers and technical leads in delivering AI-powered CX and contact center products. Responsibilities include solution architecture, technical design reviews, implementation planning, customer deployments, cross-functional coordination, risk management, technology evaluation, and integration assessment across AI platforms and CCaaS solutions. The role also oversees delivery readiness and develops high-performing technical teams.

Lead Azure and .NET solution design, delivery, and consulting engagements. Advise clients on architecture and technical trade-offs, support proposals, gather requirements, estimate and delegate project work, manage risks, and ensure successful delivery. Mentor team members, collaborate with cross-functional and offshore teams, contribute to business development, and maintain consulting utilization. The role requires expertise in Azure architecture, software engineering, solution architecture, Agile delivery, identity management, scalability, reliability, and observability.

Develop and support Microsoft Power Platform and Azure applications, automated workflows, integrations, Dataverse data models, and AI agents using Copilot Studio or Azure AI Foundry. Translate business requirements into secure, scalable solutions; manage connectors, APIs, testing, troubleshooting, documentation, deployments, and production support. Collaborate with Agile delivery teams, stakeholders, architects, and administrators while applying enterprise governance, responsible AI, security, and lifecycle management practices.

Leads engineers and technical leads in delivering AI-powered customer experience and contact center products. Responsibilities include solution architecture, technical design reviews, implementation planning, customer deployments, cross-functional coordination, risk management, operational readiness, and evaluation of emerging AI and CCaaS technologies. The role develops architecture diagrams, oversees complex software implementations, and guides integrations across cloud, AI, and contact center platforms.

Design, deploy, and optimize multi-agent conversational AI workflows using GECX, CX Agent Studio, and custom Python or TypeScript Code Agents. Build backend tools, callbacks, integrations with databases, catalogs, CRMs, and CCaaS platforms, and create generative playbooks and routing logic. Use CLI-based development, linting, testing, simulation evaluations, and CI/CD workflows to ensure safe, reliable, low-latency voice and chat agents.

Design, deploy, and optimize multi-agent conversational AI workflows using GECX, CX Agent Studio, and custom Python or TypeScript code agents. Build agent architectures, callbacks, integrations with databases, CRMs, catalogs, and CCaaS systems, plus voice experiences. Create generative playbooks, CLI-based development workflows, automated evaluations, and CI/CD testing. Monitor conversation traces and performance using BigQuery or Google Cloud Logging while implementing safety controls and fallback behaviors.

Lead large-scale client projects focusing on Azure solutions, mentoring teams, and ensuring successful delivery through technical leadership and design solutions.

Own the full sales cycle for net-new enterprise customers, selling Amazon Connect, AWS AI capabilities, and TTEC Digital’s consulting, implementation, and managed services. Generate pipeline through outbound prospecting, develop executive relationships, uncover transformation needs, build value-based business cases, coordinate solution teams, manage complex negotiations, and close six- and seven-figure customer experience, cloud, contact center, and AI transformation deals.

Drives new-logo enterprise sales for Gemini Enterprise and TTEC Digital solutions. Responsibilities include prospecting, account penetration, executive relationship building, solution selling, pipeline creation, territory strategy, competitive positioning, negotiation, forecasting, and closing complex six- and seven-figure deals. The role partners with solution architects, consultants, Google Cloud and Gemini specialists, and delivery teams to sell AI-powered customer engagement, cloud, data, CX, contact center, and digital transformation solutions.

Lead design and implementation of agentic, multi-agent AI workflows for enterprise contact centers using Google Gemini Enterprise CX and ADK. Architect integrations with backend systems, build CI/CD pipelines, design LLM-driven conversational experiences, guide testing and prompt engineering, and oversee deployment on GCP (Cloud Run/GKE/Functions) while mitigating hallucinations and ensuring operational readiness.