2 months ago
Remote, PolandSenior
Responsibilities
- Design end-to-end, production-ready AI systems for customer experience orchestration and contact center use cases.
- Optimize retrieval, knowledge architectures, context management, prompts, and orchestration flows for accuracy, relevance, latency, scalability, and cost efficiency.
- Define AI evaluation frameworks, quality metrics, test sets, monitoring approaches, feedback loops, and governance strategies.
- Support presales through technical discovery, solution design, demonstrations, sandbox and trial engagements, integration guidance, and value assessments.
- Build and deploy AI prototypes in sandbox or customer development environments and transition successful prototypes into production pilots.
- Build integrations with third-party systems using RESTful APIs and interoperability patterns such as MCP and A2A.
- Create reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and technical content.
- Provide customer-driven technical feedback to Product Management and Engineering and influence CIO- and CTO-level stakeholders.
Requirements
- Hands-on experience designing modern AI solutions using classic ML, NLU/NLP, retrieval systems, LLMs, orchestration, tool use, and agentic approaches.
- Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and cloud ecosystems.
- Ability to design for voice latency, fallback paths, throughput, reliability, secure data access, governance, multilingual needs, explainability, and business risk.
- Experience defining AI evaluation strategies, retrieval and tool-call quality measures, safety, drift, auditability, observability, and cost controls.
- Strong executive communication, technical demonstration, presentation, sales partnership, business-value orientation, and stakeholder influence skills.
- Practical experience with prompt design, context strategies, and AI workflow optimization as part of broader system architecture.
- Strong understanding of the Genesys Cloud platform and Genesys AI is preferred.
- Foundational programming knowledge, preferably Python.
- Fluency in English and Polish is required; French or German fluency is a plus.
Benefits
- Flexible-first working culture with flexible ways of working.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored programs for employees and families.
- Interview process generally limited to no more than five interviews, with application review by a person.
Tech Stack
Categories
Solutions Engineering
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.