Tech Lead Gen AI

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care a nd dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role As a Tech Lead GenAI , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 8+ YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role responsibilities Architecture & Systems Design Design and own event-driven, micro-services architectures on GCP Architect end-to-end RAG pipelines - ingestion, chunking, retrieval, and generation - for production workloads Define and enforce network and access security patterns: IAP, VPC-SC, Secret Manager Author Architecture Decision Records (ADRs) and enforce Definition of Done (DoD) standards Trade-offs, Cost & Performance Lead LLM selection decisions - Vertex AI vs. open-source - with structured cost-benefit framing Optimize GenAI run costs through token budgeting, embedding cache strategies, and model tiering Own scalability design for Cloud Run workloads, including cold-start mitigation and load-testing strategy Translate architectural trade-offs into clear stakeholder communication Data & Document Quality Design source modeling strategies across Drive, GCS, and Vector Search Define and enforce chunking strategies and Registry governance for document pipelines Proactively identify and retire technical debt; maintain a prioritized remediation backlog Technical Leadership Mentor engineers through code reviews, pair programming, and design walkthroughs Serve as the primary technical interface with FR Core Team and AI sponsors Champion engineering standards and drive adoption of best practices across the squad Must have qualifications To be considered for this role, you must meet the following essential qualifications: Core Experience: 8+ years of software engineering experience, with 3+ years dedicated to AI/ML engineering or GenAI platform roles. Technical Leadership: Proven experience leading engineering squads, mentoring developers, conducting code reviews, and managing technical debt. Architecture & Design: Demonstrated success authoring architectural artifacts (e.g., ADRs, technical specs, DoD) and designing event-driven microservices architectures on GCP. Production GenAI & RAG: Hands-on experience delivering production-grade Retrieval-Augmented Generation (RAG) systems—spanning ingestion, advanced chunking strategy design, retrieval, and generation. LLM & Cost Management: Practical experience with LLM evaluation and selection across commercial and open-source models, alongside token-level cost management and embedding cache optimization at scale. GCP Ecosystem: Deep, production-grade proficiency in Google Cloud Platform, specifically: Vertex AI (including Vertex AI Vector Search), Cloud Run (managing cold starts/load testing), Pub/Sub, GCS, VPC-SC, IAP, and Secret Manager. Core Languages: Strong programming proficiency in Python. Stakeholder Alignment: Strong communication skills with experience interfacing directly with enterprise core