23 hours ago
Remote, FranceSenior
Responsibilities
- Partner with customer business and technical leaders to identify and prioritize AI use cases, define business outcomes, and establish success criteria.
- Own the technical engagement from use case definition through prototype, live testing, production deployment, and optimization.
- Rapidly prototype, code, configure, and integrate AI solutions with customer systems, APIs, data, and tools.
- Design and optimize agent behavior, prompts, tool invocation, orchestration, knowledge, and evaluation patterns.
- Test solutions against real data and edge cases, diagnose failures, and iterate rapidly.
- Deploy solutions safely into production and continuously optimize them against agreed business outcomes.
- Collaborate with Product and Engineering to identify gaps and remove production blockers.
- Package agents, prompts, integrations, evaluations, and deployment patterns into reusable assets.
- Maintain end-to-end accountability for technical outcomes.
Requirements
- At least 5 years of relevant experience in AI engineering, solution architecture, software engineering, or a similar technical role.
- Mandatory fluency in French and English; additional language knowledge is a plus.
- Ability to translate business problems into technical solutions and measurable outcomes.
- Demonstrated hands-on technical capability and a strong desire to build rather than only architect or present.
- Working proficiency in Python, TypeScript/JavaScript, Java or equivalent, plus APIs, Git, and modern cloud architectures, or demonstrated ability to develop these skills rapidly.
- Practical understanding of LLMs and agentic AI, including prompting, tool calling, orchestration, grounding, evaluation, and guardrails.
- Familiarity with AI-native development environments and coding agents such as Cursor, Claude Code, GitHub Copilot, Windsurf, or Amazon Kiro.
- Experience integrating enterprise systems, data, and APIs; production deployment experience is highly valuable.
- Strong customer-facing presence and comfort working with both business executives and engineers.
- Ability to work through ambiguity, learn quickly, adapt, move with urgency, and own problems through resolution.
- Ability to lead and innovate ideas while using AI tools effectively and responsibly to accelerate delivery.
- Working knowledge of enterprise AI security and governance fundamentals, including OAuth, SSO, data privacy, and secure integration.
- Genesys, CX, or conversational/voice AI expertise is valuable but not required.
Benefits
- Flexible-first 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 their families.
- Opportunity to build and operate AI-powered technology used by more than 8,000 organizations worldwide.
- Application process typically includes a Zoom interview, meetings with the hiring manager and interview team, and no more than five interviews in most cases.
Tech Stack
Categories
Forward Deployed
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.