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The Senior Software Engineer will lead a squad to deliver technical solutions, architect enterprise SaaS applications, and ensure system performance, reliability, and security while fostering an engineering culture of excellence.

Lead AI adoption and stabilization for enterprise contact centers: execute adoption playbooks, optimize AI outputs (prompt engineering, knowledge alignment), validate UAT, analyze usage and KPIs, build adoption scorecards, and drive cross-regional stakeholder alignment to increase sustained AI value.

Senior individual-contributor accountable for end-to-end delivery of large, multi-stream APAC programs across contact centre, workforce management and AI/automation. Own integrated plans, governance, risk, vendor and stakeholder management; coach Project Managers; chair steering committees; ensure programs meet scope, schedule, quality and compliance; act as senior escalation point for clients and partners.

Lead AI adoption and stabilization for enterprise contact center customers. Execute adoption playbooks, optimize AI outputs (prompt engineering, knowledge alignment, workflow tuning), validate UAT and trust indicators, analyze usage and KPI data to surface optimizations, build adoption scorecards, and lead cross-regional stakeholder sessions to drive sustained usage and product feedback.

The role involves leading consulting engagements focused on business transformation and CX improvement through AI, ensuring compliance with regulatory standards, and managing client relationships.

The Director leads an international team that consults with prospects to design solutions for contact centers, focusing on AI and Digital environments, while overseeing Presales activities and coaching team members.

The Software Engineer will implement, configure and deliver AI solutions, focusing on integrations and conversational AI across the NICE CXone ecosystem, while ensuring quality and problem-solving in a collaborative environment.

The AI Solution Strategist role involves collaborating with product managers and engineers to develop conversational AI agents, driving customer success and supporting AI initiatives. The position requires strategic thinking, project management, and skills in aligning technical and business teams, while focusing on agent design and performance analytics.

Design and maintain scalable data pipelines and real-time streaming systems on AWS, enable ML/LLM-powered customer features, integrate Amazon Bedrock and models into agentic workflows, automate ML lifecycle steps, collaborate with ML, data science, and product teams to ship production-grade solutions.

The AI Forward Deployed Engineer designs, builds, and deploys AI-driven customer engagement solutions, working closely with customers and stakeholders to create intelligent automation systems for various industries.