Job Closed
This listing is no longer active.
Make experiences flow.
AI Solution Strategist
Location
United Kingdom
Posted
53 days ago
Salary
0
Seniority
Senior
Job Description
AI Solution Strategist
NICE
• You'll operate at the crossroads of AI product strategy, (pre) sales and customer success. • Work hand-in-hand with Product Managers and Engineers, and go-to-market (GTM) teams, to define, develop, and launch conversational AI agents that power large volumes of live customer interactions. • The role blends strategic thinking with hands-on agent design, requiring fluency in both business context and technical execution. • Serve as a strategic partner to customers, supporting the evolution, execution, and adoption of concrete AI initiatives. • Convert business requirements into well-designed, high-performing AI agents. • Lead delivery across multiple concurrent complex agentic projects that receive maximum visibility both from customer side as well as from the NiCE perspective. • Bridge the gap between technical teams and business stakeholders throughout the entire development lifecycle. • Shape agent behavior through conversational design, product intuition, and performance data. • Surface data-driven action items and iterations that sharpen both customer outcomes and internal decision-making.
Job Requirements
- Bachelor's degree in Computer Science, Information Systems or a related discipline (or demonstrated equivalent experience).
- An MBA or similar experience combining technology and business operations is a notable advantage.
- Proven ability to juggle multiple high-stakes projects at once.
- History of rallying cross-functional teams toward delivery in demanding environments.
- Solid grasp of software development fundamentals, product management, and engineering workflows.
- You won't be writing code daily, but you need enough technical depth to hold your own alongside engineers and PMs.
- Capable of bridging the gap between ambitious product vision and working AI agents.
- Experience with conversational design principles and customer experience strategy.
- Practical understanding of what's involved in deploying AI that reliably serves real customers at volume.
- Skilled at using performance data to spot issues, mitigate risks, and iterate toward better outcomes.
- Sharp written and verbal communicator.
- Can distill complex technical detail into clear, actionable language for non-technical audiences.
- Strong critical thinking and comfort with ambiguity, able to make sound calls with incomplete information.
- Effective at aligning diverse stakeholders and maintaining momentum across workstreams.
Benefits
- Get deeply involved in building and launching AI agents at the leading edge of the industry.
- Collaborate daily with product and engineering teams pushing the boundaries of enterprise AI at NiCE.
- Build a distinctive skill set spanning AI strategy, conversational design, and customer operations.
- Gain expertise that's in high demand and short supply across the market.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Lead Gen Artificial Intelligence Engineer
EPAM SystemsEPAM Systems is an information technology (IT) company that has become a leading global digital and product design, digital platform engineering, and product development agency. As
Lead the development lifecycle for AI/ML models, manage a team of Data Scientists, identify improvement opportunities, and provide stakeholder updates to ensure alignment with business goals and project timelines.
AI Transformation Lead
Transact CampusElevate your campus experience through transformative payments and credential-driven transactions and privileges.
• Own the end-to-end program management of AI transformation initiatives across all functions. • Work directly within functions — Sales, Marketing, Product, Engineering, Finance, HR, Customer Support, Services — to identify the highest-leverage AI applications and drive their deployment into daily workflows. • Drive Illumia’s AI adoption to 100%, ensuring that adoption translates into measurable efficiency gains. • Own AI governance decisions for Illumia’s AI deployments, drawing on Legal, IT Security, and functional leaders as needed to ensure deployments are secure, compliant, and fit for purpose.
• Design and implement AI-powered solutions across CX tools like Zendesk, Salesforce, Rocketlane, Gong and Gainsight • Gather requirements from CX Operations leaders and stakeholders, documenting current-state workflows and translating business needs into technical specifications across the support lifecycle • Build and maintain integration AI solutions and workflows, including but not limited to system-to-system automations across Zendesk, Salesforce, and Gainsight • Build tools and automations for ticket routing, case summarization, sentiment analysis, knowledge base surfacing, and proactive churn signals • Develop internal APIs and scripts to streamline CX workflows and reduce manual effort for support teams • Integrate third-party AI platforms, including AI tools like Dust and automation platforms like Workato into the CX tech stack • Ensure systems are scalable, reliable, and well-documented • Stay current on AI trends and recommend relevant CX and support applications
• Build, hire, and mentor a high-performing organization of Applied AI Engineers. • Own the department charter, ROI performance, and technical best practices. • Own and manage the technical success of agentic AI deployments, ensuring systems are HIPAA-compliant, scalable, and deeply integrated with client EHR/EMR, CRM, and claims data systems. • Act as the primary technical executive for strategic enterprise accounts, translating complex business workflows into production-ready AI configurations. • Partner with Sales and Growth teams to lead technical discovery, underwrite high-ROI use cases, and drive expansion/upsell opportunities within existing accounts. • Collaborate with Platform Engineering and Product teams to turn field-derived configuration patterns into reusable components and platform improvements. • Oversee the design of robust data ingestion pipelines, real-time agent infrastructure, and output guardrails to ensure agents remain compliant and safe.
