Jobs at TTEC Digital

The NICE Technical Architect leads design and delivery of NICE CXone solutions, mentoring consultants, overseeing project execution, and engaging in pre-sales activities.

Design and tune conversational AI (IVAs) to deliver human-like customer experiences. Advise clients on CX automation, author dialogs and journey storyboards, train and optimize bots, analyze performance, and collaborate with cross-functional teams to meet project goals and drive follow-on services.

As a Senior Customer Experience Consultant, you will design and implement engaging conversational flows for Intelligent Virtual Assistants, ensuring exceptional customer interactions through effective dialogue scripting and collaboration with AI engineers.

The Overlay Sales Specialist at TTEC Digital focuses on enhancing customer experiences by coaching clients. The role emphasizes employee support and engagement, aiming for effective growth solutions in customer relations.

Lead end-to-end analytics initiatives: build and automate ETL/ELT pipelines, perform data engineering, develop dashboards and predictive models, enforce data governance and quality, validate models, and communicate insights to business and executive stakeholders.

Lead-platform principal engineer who codes, debugs, and sets reference implementations across AI-powered CX systems. Own platform architecture decisions, unblock squads by shipping production code, mentor engineers, and build high-capacity, event-driven distributed systems integrating messaging, multiple DB types, multi-cloud, and advanced AI (LLMs, RAG, agents).

Lead a squad as a player‑coach building event-driven, high-throughput, low-latency platform services and AI/ML pipelines. Implement Go services, connectors, and real-time WebSocket backends; own latency budgets, delivery, code quality, and weekly demos.

Lead day-to-day engineering for an AI-first SaaS platform, owning delivery, hiring, squad performance, architecture reviews, cross-team dependencies, and driving AI-assisted engineering practices to ship weekly demos at high quality.

Design, configure, and support AI-enabled Amazon Connect contact center solutions. Build IVR and NLU-driven journeys, configure Agent Workspace and Contact Lens, implement routing/queue logic, integrate external systems and reporting, and collaborate with conversational designers and engineering teams to deliver production-ready CCaaS and agent-assist experiences.

Lead design of AI-enabled capabilities for Amazon Connect contact centers: run AI discovery workshops, define LLM and agentic AI solution architectures, assess data and knowledge readiness for RAG, create implementation roadmaps, design customer and agent experiences, partner with platform and engineering teams, and provide responsible AI guidance and governance for contact center solutions.

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

This role involves leading Azure Cloud solutions, designing landing zones, automating infrastructure, and enforcing security practices while collaborating with clients and teams.

The Principal Consultant, Cloud Engineer will lead Azure projects, ensuring clients receive tailored cloud solutions, and manage project risks and requirements effectively.

The Sales Operations Analyst will support the sales team by ensuring quality and accuracy in the sales process, guiding documentation, and improving efficiency.

The Principal Architect for Azure Solutions leads complex projects, focusing on solution architecture and delivery while mentoring team members and collaborating with stakeholders.

The Azure Principal Software Engineer will lead client engagements, manage large-scale technical projects, and provide expertise on Azure solutions, focusing on both clients and project teams.

Lead the agent and supervisor product experience for a B2B SaaS contact-center platform: own Agent UI, Control UI, and Active Listening UX. Define information hierarchy, latency budgets, RBAC and accessibility; partner with design and engineering, write one-page specs, run customer pilots, and measure success via AHT, adoption, CSAT, and suggestion acceptance.

Own the platform behind AI CX products: AI services (APIs, eval, guardrails, latency, cost), Desktop Intercept (capture, OS integration, PII redaction), and integrations (CCaaS, CRM, telephony, data warehouses). Prioritize by revenue impact, set latency/cost budgets, define metrics and acceptance criteria, drive reliability/privacy as features, and produce crisp one-page specs to ship to enterprise customers.

Design, build, and scale production multi-agent systems using Google ADK. Architect deterministic graph workflows, integrate tools and enterprise datastores, evaluate/debug agent trajectories, and deploy high-availability agents to Agent Engine via GCP (Cloud Run/Vertex AI). Collaborate with product and research teams to integrate Gemini models into agentic frameworks.

Design, build, and deploy production-grade multi-agent systems using Google ADK. Architect deterministic graph-based workflows, integrate agent skills with enterprise APIs and datastores, and deploy agents to Agent Engine on GCP (Cloud Run/Vertex AI). Evaluate and debug agent execution, mitigate hallucinations, and collaborate with product and research teams to optimize Gemini model integration.