GCP Gen AI Architect

Role & responsibilities

GCP Gen AI Architect

Primary Skills : GCP Cloud, Gen AI, App Mod Background, Experience in Google Gemini Enterprise

Job Title: GCP Practice Architect GenAI Focus Location: HYD or BANG Experience Level: 15+ years (including GCP and GenAI experience)

Role Overview: We are seeking an innovative GCP Practice Application Modernization Architect with GenAI expertise to lead strategic modernization initiatives and help enterprises unlock the next wave of digital transformation through Google Cloud Platform and Generative AI. This role blends deep technical expertise in cloud-native architecture and application transformation with cutting-edge GenAI capabilities to deliver intelligent, scalable, and future-ready solutions.

Key Responsibilities: Application Modernization: • Architect end-to-end modernization solutions across infrastructure, applications, and data on GCP. • Design cloud-native platforms using GCP services (GKE, Cloud Run, App Engine, Cloud Functions, etc.). • Lead migration strategies for legacy monoliths to microservices and event-driven architectures. • Implement DevSecOps, GitOps, and SRE practices using Cloud Build, Terraform, Anthos, and Monitoring. • Experience in Google Gemini Enterprise

GenAI Strategy & Implementation: • Lead the design and implementation of GenAI use cases including intelligent agents, content generation, summarization, and insight extraction. • Work with state-of-the-art GenAI techniques, including Large Language Models (LLMs), Multi-Modal models, and Large Vision Models, and apply GenAI-related concepts like language modelling and computer vision. • Utilize Google Clouds GenAI ecosystem (Vertex AI, PaLM, Gemini, Model Garden, AutoML) for model development, integration, and fine-tuning. • Build robust ML infrastructure, covering model deployment, evaluation, optimization, data processing, and debugging in production environments. • Design and enforce responsible AI frameworks to ensure ethical and secure usage of generative models.

Practice Development: • Define modernization and GenAI accelerators, frameworks, and reusable assets. • Mentor teams on modern architecture patterns and GenAI integration best practices. • Participate in client workshops, RFPs, PoCs, and executive briefings. • Stay up to date with evolving GCP and GenAI landscapes and drive continuous innovation.

Required Skills & Qualifications: • Bachelors or Masters in Computer Science, Engineering, or equivalent. • 15+ years in software/platform architecture, 35 years of GCP experience. • 3 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). • Strong expertise in GCP services: GKE, Big Query, Cloud Functions, Pub/Sub, Fire store, and Cloud Spanner. • Hands-on experience with app modernization (Java, .NET, Python) and containerization. • Experience with data pipelines, model training, fine-tuning, and vector search (e.g., FAISS, Pinecone). • GCP Professional Cloud Architect or Vertex AI certification preferred • Experience with LangChain, Weaviate, RAG patterns, and integration of GenAI into business apps. • Knowledge of Apigee, Istio, service mesh, and multi-cloud environments. • Familiarity with industry-specific GenAI use cases (e.g., healthcare, finance, retail). • Contributions to open-source or GenAI communities.