Jobs at TTEC Digital

Leads client-facing data science and AI consulting engagements, developing predictive models, generative AI and agentic systems, cloud analytics workflows, and executive dashboards. Designs RAG pipelines, LLM applications, machine learning models, and scalable data architectures while facilitating client workshops, documenting solutions, supporting presales, and mentoring junior team members.

Leads enterprise sales for TTEC Digital’s data, AI, cloud, CRM, and contact center solutions. Owns the full sales cycle, including prospecting, executive engagement, solution development, negotiation, and closing. Builds new-logo pipeline, expands accounts, develops territory strategies, manages partner-led selling, orchestrates internal and external stakeholders, and consistently delivers revenue, booking, quota, and forecast targets.

Own production reliability for a real-time, multi-tenant platform, including SLOs, error budgets, incident response, scaling, observability, capacity planning, chaos engineering, and safe deployments. Automate remediation using Go or Python, operate event-driven systems and cloud infrastructure at scale, lead incident communications, and maintain uptime through monitoring, load testing, canary releases, and rollback controls.

Build and own a Windows-native desktop agent featuring virtual audio devices, real-time bidirectional audio routing, DOM scraping, process integration, and an MCP server. Develop the desktop-to-cloud event-driven path under 300ms, support enterprise deployment across more than 10,000 seats, ensure driver signing and antivirus compatibility, and maintain crash telemetry, security, and low-latency systems performance.

Lead hands-on quality engineering for an AI CX platform. Build automation frameworks, cross-service contract suites, regression coverage, load and stress tests, and CI/CD quality gates for weekly deployments. Debug failures to root cause, test event-driven and real-time systems, manage flaky tests, and establish quality strategy. This player-coach role also sets automation patterns, supports developers, and leads future QA hires.

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.

Designs, develops, deploys, and optimizes Cognigy.AI conversational solutions, including chatbots, voicebots, and virtual agents. Integrates Cognigy with NICE CXone, CCaaS platforms, CRM systems, and enterprise applications using APIs and webhooks. Builds conversational flows, intents, entities, and dialogue logic; troubleshoots and improves bot performance. Partners with clients and technical teams on requirements, solution design, testing, deployment, and production support while contributing to technical discussions and mentoring.

Lead the design, configuration, development, testing, deployment, and production support of NICE CXone IEX workforce management solutions. Serve as a technical and business consultant for complex CCaaS implementations, influence client and opportunity strategy, present solutions to executive stakeholders, support project delivery, and collaborate with analysts, project managers, developers, and partners.

Build and optimize customer-facing conversational AI systems using Google GECX, CX Agent Studio, and programmatic Code Agents. Develop multi-agent architectures, Python or TypeScript tools, enterprise integrations, voice agents, structured playbooks, and automated testing workflows. Integrate databases, CRMs, catalogs, CCaaS platforms, MCP, and OpenAPI services while implementing safety controls, fallback behaviors, conversation tracing, and performance analytics.

Creates polished, visually engaging presentations for marketing, internal communications, and client needs. Organizes content, develops layouts, charts, diagrams, and graphics, and maintains consistency with brand standards. Collaborates with global design teams, adapts work for varied audiences, manages deadlines, and communicates design concepts effectively in a fast-paced B2B technology environment.

Own and optimize the marketing technology ecosystem, integrations, campaign workflows, lead lifecycle, data governance, attribution, and reporting. Build automated nurtures, landing pages, audience targeting, sales alerts, dashboards, and signal-based workflows across marketing and CRM platforms. Analyze campaign performance, pipeline, and revenue contribution while coordinating with demand generation, sales, internal stakeholders, and external agencies.

Leads sales growth across Australia and New Zealand for Microsoft Business Applications and customer experience solutions. Generates new business, expands existing accounts, develops joint strategies with Microsoft, leads bids and proposals, creates SOWs and RFPs, presents to decision-makers, and partners with delivery, PMO, and account management teams to ensure successful implementations and client satisfaction.

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

The MSP Sr. Developer leads a team to maintain and improve AWS environments, manage incidents, execute change requests, and mentor junior developers while ensuring operational stability and client satisfaction.

Lead the architecture and hands-on delivery of end-to-end Azure data platforms, including ingestion, transformation, lakehouse modeling, analytics, APIs, and activation. Build batch and streaming pipelines with Microsoft Fabric, Azure Data Factory, Databricks, Python, PySpark, and SQL. Implement governance, security, CI/CD, MCP and agentic AI integrations, while troubleshooting production systems. Mentor engineers, advise client stakeholders, contribute to presales, and establish reusable engineering standards.

Lead the architecture and delivery of end-to-end Azure data platforms, including ingestion, transformation, modeling, analytics, activation, APIs, and agentic AI integrations. Build production-grade batch and streaming pipelines using Microsoft Fabric, Azure Databricks, PySpark, Python, and SQL. Establish governance, security, lineage, and performance standards; troubleshoot critical systems; mentor engineers; advise client stakeholders; contribute to presales and reusable engineering frameworks.

Manage end-to-end Salesforce project delivery from initiation through closure, including schedules, budgets, scope, risks, resources, dependencies, governance, and quality. Lead Agile/Scrum ceremonies, stakeholder and client communications, distributed team coordination, escalations, status reporting, and continuous improvement. Support estimates, proposals, and new Salesforce opportunities while ensuring delivery commitments and acceptance criteria are met.

Lead Salesforce consulting engagements from requirements elicitation and solution architecture through implementation and delivery. Conduct gap analysis, design reviews, estimation, planning, integration, configuration, customization, migration, and administration oversight. Serve as a technical lead, support pre-sales, review post-development solutions, mentor junior team members, collaborate across functions, and manage multiple projects using Agile practices.

Leads Salesforce consulting engagements involving requirements gathering, architecture, solution design, configuration, development, integrations, migrations, Scrum Master activities, client engagement, mentoring, troubleshooting, delivery ownership, and pre-sales support.

Develops and maintains scalable data models, datasets, pipelines, and cloud-based data engineering solutions. The role improves data quality, performance, reliability, and efficiency while supporting implementation, migration, modernization, and analytics initiatives. Responsibilities include technical documentation, internal training, mentoring junior engineers, pre-sales support, effort estimation, and collaboration with project managers to deliver projects on schedule and within budget.