Principal AI Solutions Architect, Customer Success

ppBe the one building AI-powered experiences where they matter most At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. /ph3Advise, Influence Drive Adoption /h3pLead discovery and strategy alignment — partner with Genesys CX Advisors, Solution Consultants, and customer stakeholders to identify AI use cases, assess feasibility and value, and translate business KPIs into actionable technical priorities Surface the real problem beneath the presenting symptom — use data, evaluation outputs, and systematic analysis to form precise hypotheses and direct where intervention has the most leverage Influence adoption through credibility: when customers are blocked, uncertain, or sceptical, resolve it through evidence and clearly articulated reasoning Translate data-driven findings into executive-ready narratives — present complex AI performance insights, business impact, and recommendations with the clarity and confidence that influences C-level decisions /ph3Design and Architecture /h3pDefine reference architectures, integration patterns, and data flows for AI-powered experience orchestration — adapting the approach iteratively as customer context and data reveals new priorities Lead process-redesign workshops to create seamless, channel-agnostic CX — facilitated with a consultative approach that builds customer ownership of the solution Ensure all designs comply with Genesys and customer security, privacy, and regulatory requirements (GDPR, PDPA, PCI, HIPAA where applicable) /ph3Prototype and Implementation /h3pDeliver rapid POC and MVP implementations using Genesys Cloud AI Studio, CoPilot, Agentic Virtual Agent, and related product suites — moving from hypothesis to working prototype at pace, and adjusting direction when the evidence requires it Integrate Genesys AI components with customer CRM, ERP, and third-party systems Establish implementation KPIs and analytics to measure model and journey performance from day one — not as an afterthought /ph3AI Engineering Outcome-Oriented Delivery /h3pDesign and implement evaluation frameworks to measure AI solution quality in production: intent accuracy, retrieval groundedness, response relevance, agent goal completion, and policy adherence Build automated eval pipelines that enable rapid, systematic iteration across prompt variants, guardrail configurations, and model versions Architect agentic systems with precision: define agent topology, design tool schemas, and engineer orchestration logic. Measure success through production adoption and demonstrable outcome improvement — use outcome data as the primary signal for where to focus next /ph3Optimisation and Continuous Improvement /h3pDefine baseline metrics at engagement start and iterate relentlessly Evaluate solution performance against KPIs and refine designs based on data-driven insights, changing direction quickly when the data signals it Collaborate with Customer Success and Professional Services teams to hand over production-ready assets and roadmaps Codify field learnings into reusable frameworks, evaluation standards, and accelerators that scale capability beyond individual engagements /ph3Governance, Ethics, and Enablement /h3pChampion responsible AI design principles and apply guardrails to prevent bias or unsafe responses Adhere to Genesys ethical standards and compliance frameworks Mentor customer, partner, and internal teams to build long-term AI maturity and self-sufficiency — transferring expertise, not just delivering outcomes Feed well-formed, evidence-backed field signal to product and solution teams — precise enough to influence roadmap priorities directly /ph3What We’re Looking For /h3ulliBachelor’s degree (Master’s preferred) in Computer Science, Information Technology, Data Science, or a related discipline /lili8–12 years of combined experience across AI implementation, CX/CCaaS platform consulting, or technical solution architecture — demonstrated through overlap and measurable customer impact, not additive year counts across separate tracks /liliExtensive on-field experience implementing or supporting CX, CRM, or AI orchestration platforms (e.g., Genesys Cloud, Google CCAI, Salesforce, Microsoft, NICE CXone, AWS Connect, ServiceNow, or similar) /liliHands‑on experience with agentic AI systems: building, evaluating, or operating LLM‑powered agents in production contexts /liliDemonstrated experience working with APIs, data pipelines, and modern cloud environments (AWS, Azure, GCP) /liliTrack record of mentoring or developing technical peers and codifying expertise into approaches others can build on /liliConsultative Customer‑Facing Skills /liliProven autonomy inside complex enterprise accounts — leading discovery, shaping scope, managing stakeholder expectations, and building trust without hand‑h‑holding /liliComfortable operating without a defined playbook — able to form and test hypotheses under ambiguity, pivot quickly when the data signals a change, and bring stakeholders along through the process /liliTranslates data‑driven findings into executive‑ready narratives: quantified outcomes, causal relationships, and clear next steps — not qualitative summaries /liliProven leadership in cross‑functional environments and complex enterprise contexts /liliProduct instinct: able to define success metrics, surface well‑formed requirements, and articulate the business case for technical decisions /liliExperience with industry verticals such as Financial Services, Healthcare, Insurance, Retail, or Public Sector /liliMultilingual communication ability is an advantage across the EMEA region /liliTechnical Skills /liliCX orchestration and workflow design across multiple platforms — with a focus on outcome over architecture elegance /liliConversational AI and Agentic Virtual Agent implementation across voice, chat, and messaging channels /liliKnowledge engineering: retrieval system diagnosis, RAG pipeline design, semantic coverage analysis, and knowledge optimisation for AI consumption /liliAgentic system design: tool schema authoring, multi‑agent topology, prompt engineering as a systematic discipline, and guardrail implementation for enterprise‑safe agent behaviour /liliApplied data analysis: Python for evaluation scripting, log analysis, and integration development; SQL for operational data querying — AI‑assisted development tooling expected and encouraged /liliDeep working knowledge of one or more enterprise CCaaS or Agentic AI platforms — Genesys Cloud preferred, or equivalent such as Google CCAI, Salesforce, AWS Connect, NICE CXone, Sierra, Decagon, or Cognigy; demonstrated expertise in deploying and optimising conversational or agentic AI solutions on any of these platforms is equally valued /liliData and integration expertise: REST APIs, event‑driven architecture, JSON /liliCloud infrastructure familiarity: provisioning, access control, and cost management (AWS preferred) /liliData governance, security compliance, and responsible AI design principles /li /ulh3Compensation /h3pThis role has a market-aligned compensation package with the anticipated On-Target-Earnings range listed below. Actual earnings will vary depending on a candidate’s experience, qualifications, skills, and location. This role is eligible for commission bonus opportunities. 96,100.00 - 124,400.00 /ph3Working at Genesys /h3pAI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. /pulli150+ new AI features were released in the last fiscal year. /liliA flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. /liliGrowth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support. /liliTime to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. /li /ulh3About Genesys /h3pGenesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. /ph3Equal Opportunity /h3pGenesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. /p /p #J-18808-Ljbffr