Architect - Google Cloud at Valtech Limited

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud, AI Solutions Architecture, Agile Methodologies, Cloud Engineering, Data Analytics, Generative AI, Terraform, MLOps, BigQuery, Vertex AI, Security Best Practices, Collaboration, Customer Presentations, Technical Leadership, Problem Solving, Communication

Industry

IT Services and IT Consulting

Description

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 an Architect, 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: Technical Pre-Sales & Thought Leadership (50%) Lead AI-First Solutions Architecture: Design and present innovative solutions leveraging Gemini 2.5 (Flash & Pro), Google Agentspace, and Vertex AI to solve complex business challenges Agentic AI Consulting: Architect multi-agent systems using Agent Development Kit (ADK), Agent Engine, and Agent2Agent (A2A) protocol for cross-platform agent collaboration Enterprise AI Positioning: Evangelize Gemini Enterprise capabilities including agentic search, custom agent creation, and integration with enterprise collaboration tools Technical Discovery & Scoping: Lead pre-sales discovery engagements, conducting workshops to identify AI and cloud modernization opportunities Proposal Development: Develop comprehensive Statements of Work (SOWs), technical architectures, and cost models aligned with Google partner funding requirements (DAF/PSF) Customer Presentations: Deliver compelling technical presentations and demos showcasing Google Cloud's latest innovations in AI, data, and infrastructure Solution Consulting: Provide expert guidance on Google Cloud engineering practices, security best practices, and cloud-native architecture patterns Advanced Solution Delivery (50%) AI Platform Architecture: Design and implement production-grade AI solutions using: Gemini Models: Deploy Gemini 2.5 Flash (low latency, cost-efficient) and Gemini 2.5 Pro (enhanced reasoning) for enterprise use cases Vertex AI Platform: Build custom AI applications with model customization, tuning, RAG implementations, and multimodal capabilities Google Agentspace: Architect enterprise knowledge management solutions with agentic intranet search, custom agent creation, and pre-built agents Generative Media: Implement Imagen 4 (image generation), Veo 3 (video generation), and Lyria (text-to-music) for creative workflows Modern Data Platform Leadership: Design scalable data architectures using: BigQuery: Autonomous data-to-AI platform with Gemini-powered data agents for conversational analytics AlloyDB: PostgreSQL-compatible database with AI-powered upgrades and Agentspace integration Looker: Conversational BI platform with Gemini integration for LookML code generation and visualizations Dataflow, Pub/Sub, Dataproc: Real-time and batch data processing pipelines Enterprise Integration & Migration: Lead complex initiatives including: Greenfield Google Cloud foundations and landing zone builds with AI-ready infrastructure Workload migration from on-premise and multi-cloud environments Legacy database modernization (SQL Server to PostgreSQL/AlloyDB) with Gemini-assisted query translation Multi-cloud architectures with Cross-Cloud Interconnect (400G bandwidth) Technical Leadership: Guide cloud engineering teams in implementing architectural patterns, ensuring code quality, security compliance, and operational excellence Security & Compliance: Design solutions using Google Unified Security, security agents for alert triage and malware analysis, and Cloud Confidential Eligible (CCE) applications Documentation Excellence: Produce comprehensive technical documentation, architecture diagrams, and runbooks Must Have To be considered for this role, you must meet the following essential qualifications: Education: A Bachelor's or Master’s degree in computer science, Engineering, or a related technical field is typically required. Experience & Seniority Minimum 5+ years of hands-on experience architecting and implementing Google Cloud solutions in enterprise environments 3+ years in customer-facing technical roles (solutions architect, technical consultant, or similar) Proven track record delivering complex cloud transformation and AI implementation projects Core Google Cloud Expertise Advanced Platform Knowledge: Deep expertise across Google Cloud's core services: Compute: Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions Networking: VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect, Cloud Armor Security & IAM: Organization policies, IAM, Secret Manager, Certificate Manager, Security Command Center Operations: Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace Infrastructure-as-Code Mastery: Expert-level proficiency in Terraform with experience in: Multi-environment deployments and workspace management Module development and reusable infrastructure patterns CI/CD pipeline integration (Cloud Build, GitHub Actions) State management and remote backends Database & Storage: Production experience with: AlloyDB, Cloud SQL, Spanner for relational workloads Firestore, Bigtable for NoSQL applications Cloud Storage with lifecycle management and retention policies AI & Data Specialization Gemini & Generative AI: Hands-on experience with: Gemini API integration and multimodal capabilities (text, image, video, audio) Prompt engineering and RAG (Retrieval Augmented Generation) implementations Model fine-tuning and customization on Vertex AI Understanding of Gemini 2.5 Flash vs Pro tradeoffs Vertex AI Platform: Proven experience building production AI applications: Model training, deployment, and monitoring AutoML and custom model development Vertex AI Search and Conversation implementations MLOps practices and CI/CD for ML Google Agentspace: Familiarity with or strong desire to learn: Agentic search and knowledge management architecture Custom agent development using ADK (Agent Development Kit) No-code/low-code agent creation patterns Agent2Agent (A2A) protocol for multi-agent orchestration Data Analytics: Expertise in modern data architectures: BigQuery: Advanced SQL, optimization, partitioning, clustering, cost management Data pipeline orchestration (Dataflow, Cloud Composer) Real-time streaming with Pub/Sub Looker dashboards and LookML (preferred) Certifications (Nice to have) Google Cloud Professional Cloud Architect (must obtain within first 6 months if not already held) Additional Google Cloud certifications highly valued: Professional Data Engineer Professional Machine Learning Engineer Professional Cloud Developer Professional Cloud Security Engineer Professional & Soft Skills Exceptional Communication: Ability to translate complex technical concepts into business value for C-suite executives, product managers, and technical teams Workshop Facilitation: Experience running technical workshops, design thinking sessions, and architecture reviews Presentation Excellence: Confident delivering presentations and demos to large audiences and executive stakeholders Consultative Approach: Trusted advisor mindset with ability to challenge assumptions and recommend best practices Collaboration: Proven success working with distributed, cross-functional teams using Agile/Scrum methodologies Customer Focus: Strong empathy for customer challenges with creative problem-solving abilities Languages: Excellent spoken and written English (mandatory) 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 hybrid work options (country-dependent) 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. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ 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.

Responsibilities

The Architect will lead AI-First Solutions Architecture and advanced solution delivery, focusing on designing and implementing innovative AI solutions using Google Cloud technologies. Responsibilities include technical pre-sales, customer presentations, and guiding cloud engineering teams.