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 and 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 teams and project sponsors.
Nice to have qualifications
- Certifications: Google Cloud Professional ML Engineer or Cloud Architect certification.
- Frameworks & Tools: Hands-on experience with LangChain, LlamaIndex, or equivalent vector stores (Weaviate, Pinecone).
- Standards & Observability: Familiarity with industry standards like OpenAPI/proto3, and exposure to LLM observability tooling (Google Cloud Monitoring, LangSmith, Arize AI, or Weights & Biases).
- Polyglot Skills: Familiarity with TypeScript / Node.js
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a Full time position based in Bengaluru.
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
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
- ️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
