Lead Gemini Enterprise Agent Platform Engineer
Role details
Job location
Tech stack
Job description
We are looking for a Lead Data Engineer - AI Search (all genders) to join Valtech and lead enterprise-scale AI, search, and conversational platform initiatives.At Valtech, we design and build scalable, high-performance digital solutions at the intersection of cloud engineering, AI, data, and experience design. The Tech Lead is responsible for mature study and translating architecture into scalable and production-ready solutions. This role drives detailed technical design choices, secures delivery quality, and coordinates development and integration activities across multidisciplinary teams.
You will thrive in this role if you:
- Are comfortable owning architectural decisions and long-term technical strategy
- Enjoy mentoring engineers and raising overall engineering maturity
- Can clearly communicate technical trade-offs to both technical and non-technical stakeholders
- Proactively identify risks, dependencies, and scalability concerns
- Balance delivery needs with long-term platform health, * Define detailed technical design, components, interfaces, and integration patterns.
- Lead development teams and enforce engineering standards and best practices.
- Coordinate architecture, cloud/platform, data, QA, and business stakeholders.
- Ensure delivery quality through testing, observability, and application security practices
- Guide teams on GCP and AI Search implementation patterns
- Lead technical discovery, estimation, and solution design workshops
- Identify technical risks and propose mitigation strategies early
- Ensure scalable, reliable, and production-ready AI solutions
- Contribute hands-on in complex and high-impact technical areas
- Support industrialization and operationalization of AI and search use cases
Requirements
Do you have experience in Security?, * 7+ years of professional software engineering experience in enterprise environments
- Strong expertise in Google Cloud Platform (GCP) and AI ecosystems
- Experience with AI Search, conversational AI, and generative AI integrations
- Strong application architecture, API design, and enterprise integration experience
- Solid understanding of cloud-native, microservices, and event-driven architectures
- Experience with CI/CD pipelines, software quality, observability, and cloud security best practices
- Experience working with Kubernetes and Infrastructure as Code
- Technical leadership experience, including mentoring engineers and guiding technical decisions
- Ability to collaborate across architecture, engineering, cloud, and data teams
- Strong communication and stakeholder management skills
- Experience delivering enterprise-scale digital solutions in Agile environments
- Backend development experience with Java and/or Python
- Advanced level of French and English
Benefits & conditions
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts