Valtech

Valtech

Valtech is a global business transformation company specializing in technology, marketing, and experience design to help clients innovate, connect with consumers, and optimize ROI.

Professional Services
5K-10K
Founded 1993

Description

  • Lead AI-first solution architecture using Gemini, Google Agentspace, and Vertex AI to address complex business challenges.
  • Architect multi-agent systems using ADK, Agent Engine, and the A2A protocol for cross-platform collaboration.
  • Lead pre-sales discovery workshops to identify AI and cloud modernization opportunities.
  • Develop Statements of Work, technical architectures, and cost models aligned with Google partner funding requirements.
  • Deliver technical presentations and demos showcasing Google Cloud innovations in AI, data, and infrastructure.
  • Provide solution consulting on Google Cloud engineering practices, security best practices, and cloud-native architecture patterns.
  • Design and implement production-grade AI solutions on Vertex AI, Google Agentspace, and generative media tools.
  • Design scalable modern data architectures using BigQuery, AlloyDB, Looker, Dataflow, Pub/Sub, and Dataproc.
  • Lead enterprise integration and migration initiatives, including greenfield foundations, workload migration, and database modernization.
  • Guide cloud engineering teams and produce technical documentation, architecture diagrams, and runbooks.

Requirements

  • Bachelor’s or Master’s degree in computer science, engineering, or a related technical field.
  • 8+ years of experience overall.
  • 5+ years of hands-on experience architecting and implementing Google Cloud solutions in enterprise environments.
  • 3+ years of experience in customer-facing technical roles such as solutions architect or technical consultant.
  • Strong track record delivering complex cloud transformation and AI implementation projects.
  • Deep expertise in core Google Cloud services, including Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions, VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect, Cloud Armor, IAM, Secret Manager, Certificate Manager, Security Command Center, Cloud Monitoring, Cloud Logging, Error Reporting, and Cloud Trace.
  • Expert-level proficiency in Terraform, including multi-environment deployments, module development, CI/CD integration, state management, and remote backends.
  • Production experience with AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable, and Cloud Storage.
  • Hands-on experience with Gemini API integration, multimodal capabilities, prompt engineering, RAG, and model fine-tuning on Vertex AI.
  • Proven experience building production AI applications on Vertex AI, including training, deployment, monitoring, AutoML, custom models, Vertex AI Search and Conversation, and MLOps practices.
  • Familiarity with or strong desire to learn Google Agentspace, ADK, no-code/low-code agent creation, and A2A protocol.
  • Expertise in modern data architectures, including BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Looker dashboards and LookML (preferred).
  • Google Cloud Professional Cloud Architect certification, to be obtained within the first 6 months if not already held.
  • Additional Google Cloud certifications such as Professional Data Engineer, Professional Machine Learning Engineer, Professional Cloud Developer, or Professional Cloud Security Engineer are highly valued.
  • Excellent spoken and written English is mandatory.
  • Experience in Agile methodologies and consulting is a plus.

Benefits

  • Competitive compensation package.
  • Full-time position based in Bengaluru.
  • Hybrid work options, depending on country.
  • Access to cutting-edge tools, training, and industry experts.
  • Learning and development opportunities.
  • Values-driven, inclusive culture that supports growth and autonomy.
  • International career opportunities.

Interested in this position?

Apply directly on the company website

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