Genesys
Senior Principle Agentic AI Orchestrator

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Senior Principle Agentic AI Orchestrator
Agentic AI Orchestrator
About the Role
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
- Build stronger customer relationships
This role is at the intersection of AI & Digital Solutions in the EMEA region. As an Agentic AI Orchestrator, you’ll collaborate directly with customers to architect, transform, and develop AI experiences that deliver measurable business impact.
Help 8,000+ organizations across over 100 countries implement AI solutions that transition from experimentation to sustained production. This role offers the opportunity to:
- Transform how organizations leverage AI at scale
- Shape the future of growth and innovation within AI capabilities
- Collaborate in an agile, consultative environment built on empathy, partnership, and cutting-edge technology
Your Impact: Key Responsibilities
Advise, Influence & Drive Adoption
- Partner with Genesys CX Advisors, Solution Consultants, and customer stakeholders to identify AI use cases
- Translate business KPIs into actionable technical priorities
- Diagnose underlying issues through quantitative analysis and hypothesis development
- Present executive-ready insights with clarity and confidence
- Overcome adoption barriers by building credibility and addressing skepticism
Design & Architecture
- Define adaptive reference architectures and data flows for AI-powered experiences
- Lead channel-agnostic CX process redesign workshops to maximize autonomy and ownership
- Ensure compliance with security (GDPR, PDPA, PCI, HIPAA) and regulatory frameworks
Prototype & Implementation
- Develop rapid POCs and MVPs using Genesys Cloud AI Studio, Copilot, Agentic Virtual Agents
- Integrate Genesys AI solutions with CRM, ERP, and third-party systems
- Create execution-oriented KPIs to measure performance from day one
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
AI Engineering & Outcome-Oriented Delivery
- Design frameworks to measure production AI quality (intent accuracy, retrieval groundedness, relevance, policy adherence)
- Build automated evaluation pipelines for agent testing and iteration
- Architect complex agentic systems with precise topologies and guardrails
Optimization & Continuous Improvement
- Define baseline metrics at the start of engagements
- Iterate relentlessly based on data-driven performance improvements
- Hand over production-ready assets to Customer Success teams
- Codify learnings into reusable frameworks, standards, and accelerators
Governance, Ethics & Enablement
- Champion responsible AI principles
- Ensure adherence to Genesys ethical standards and compliance frameworks
- Mentor customers, partners, and internal teams to build AI self-sufficiency
- Provide field signals to influence product roadmaps
What We’re Looking For: Everyday Excellence
Education & Experience
Required:
- Bachelor’s degree in Computer Science, Information Technology, Data Science or related discipline (Master’s preferred)
Industry Experience:
| 3.5M | Interaction Count |
|---|---|
| 50M+ | Messages Analyzed |
| 80% | Deployment Success Rate |
8–12 years of combined expertise in:
- AI implementation and transformation (proven impact > year-count complexity)
- CX/CCaaS platform consulting (Genesys Cloud, Google CCAI, Salesforce, NICE CXone, AWS Connect)
- Strategic architecture and solution design for enterprise-scale AI
- Hands-on experience with agentic AI systems (e.g., LLMs, Retrieval-Augmented Knowledge, agentic topologies)
Must Have:
- Deep experience working with Genesys Virtual Agents, Cloud AI Suite, Copilot
- Strong API integration, data pipeline, and ETL background
- High-level expertise in tech stack: Python, SQL, cloud infrastructure (AWS preferred), REST, event-driven architecture


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Consultative & Customer-Facing Skills
- Demonstrated ability to lead discovery and conceptual alignment in complex enterprise environments
- Autonomous adapters of strategy under ambiguity and change
- Skilled in translating data narratives into executable business transformation
- Experience across Financial Services, Healthcare, Insurance, Retail, or Public Sector (vertical specialization an advantage)
- Proficient in metalinguistic communication (advantage in multilingual environments)
Professional Landscape & Framework Design
- Tool Schema authoring (ability to define agentic workflows for measurable outcomes)
- Prompt engineering as a systematic discipline with guardrails for security compliance
- Performance-optimized evaluation pipelines with focus on precision
- Replicable frameworks to build capability beyond individual engagements
Working at Genesys
Empowering AI at Enterprise Scale
- Build, optimise, and scale AI experiences across 8,000+ global organisations
- Teams supporting AI innovation with 150+ features rolled out annually
Flexibility & Innovation
- AI-Ready Culture: Cultivate and scale future work with flexible first principles
- Learning Support: Continuous mentorship, certifications, and leadership development
Benefits
- Paid Volunteer Time
- Well-being initiatives
- Global technologies and locally tailored social programs
- Great Place to Work® Certified in 17 countries
Stay Connected, Stay Relevant
- Explore innovative solutions via our Sustainability and Careers portals
- Apply today and gain access to cutting-edge AI consultations
"Be the one building what's next – where AI, experience, and impact come together."
Genesys is an EOE (Legal description provided which refers to non-discrimination policy omitted for formatting simplicity.)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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