AI Transformation Consultant
NICE ActimizeUSA - RemotePosted 7 April 2026
Job Description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
The world of customer experience is being fundamentally reshaped by AI, and our customers need more than technology. They need a trusted partner who can connect the dots between what's technically possible and what's strategically meaningful.
As an AI Transformation Consultant, you sit at the intersection of innovation and business strategy. You deeply understand AI and CX technology, from large language models and agentic architectures to orchestration platforms and integration patterns, but your real superpower is translating that knowledge into boardroom-ready insights. You help our customers see not just what our technology does, but why it matters for their business, their customers, and their competitive position.
You work hand-in-hand with our Sales, Presales and Customer Success teams, acting as the strategic bridge to our Innovation and RD teams. You bring our roadmap to life, not through slide decks alone, but through hands-on demonstrations, proof-of-concept builds, and thought-provoking conversations about the future of customer experience. You're equally comfortable whiteboarding an agentic AI architecture with engineers and discussing transformation strategy with a room full of VPs and C-suite executives.
How will you make an impact?
Presenting AI transformation strategy to VP+ and C-level audiences during customer QBRs, executive briefings, and strategic workshops, connecting our technology roadmap to their business priorities
Delivering thought leadership on stage at industry events, customer summits, and partner conferences, positioning our company at the forefront of AI-driven customer experience
Crafting compelling strategic narratives and executive-ready presentations that translate complex AI capabilities (LLMs, agentic AI, multi-agent orchestration, emerging protocols) into clear business impact stories
Building hands-on demonstrations and proof-of-concepts that bring our vision to life during customer engagements, making the abstract tangible and the future feel achievable
Bridging the gap between our Innovation and RD teams and go-to-market teams, ensuring that what's on our roadmap gets communicated with clarity and strategic context
Have you got what it takes?
Education Background
BS or MS in Computer Science, Business Strategy, Information Systems, or a related field, or equivalent practical experience
You don't need to be a professional developer, but you should be comfortable reading and writing code, building quick prototypes, and working with APIs
AI Technology Expertise
Strong understanding of the modern AI landscape: large language models, agentic AI, prompt engineering, RAG architectures, fine-tuning, and emerging standards such as MCP and A2A
Familiarity with conversational AI platforms, virtual agents, and how they integrate into broader contact center and CX ecosystems
Understanding of enterprise system landscapes including APIs, CCaaS, CRMs, middleware, knowledge management systems, and data platforms
CX Industry Knowledge
Solid grasp of the customer experience and contact center domain, including key players, market dynamics, and the shift from traditional CCaaS to AI-native approaches
Awareness of how AI is disrupting adjacent domains such as workforce management, quality assurance, and customer analytics
Strategic Communication Skills
Proven ability to engage VP+ and C-level audiences with confidence, translating technical depth into strategic relevance
Experience crafting and delivering executive-level presentations, workshops, and thought leadership content
Strong storytelling skills: you can turn a complex technology narrative into a compelli ... (truncated, view full listing at source)
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