About the role
AI summarisedJoin Accenture's Data & AI practice to develop Gemini-powered applications and enterprise AI systems. You will engage in the full AI lifecycle—from solution design to deployment—delivering production-ready solutions that leverage Google's most capable multimodal LLMs.
ConsultingOnsiteOther Functions
Key Responsibilities
- Develop applications using Google Gemini LLMs, Vertex AI, and Google Cloud AI services
- Apply Gemini models (Pro, Flash, Ultra) for text, code, image, and multimodal enterprise solutions
- Build RAG pipelines with Gemini embeddings, long context windows, and vector search
- Implement Gemini Function Calling and Agentic AI for autonomous task execution
- Design scalable AI architectures and integrate into enterprise workflows
- Optimize model performance through prompt engineering, grounding, and safety filters
- Provide technical guidance and mentor teams adopting Google Cloud AI solutions
Requirements
- Proficiency in Google Gemini LLMs and Vertex AI
- Deep learning frameworks (TensorFlow, PyTorch)
- Programming in Python; familiarity with Java or Go
- Experience with Google Cloud Platform (Vertex AI, Cloud Run, GKE, BigQuery)
- Knowledge of Gemini-specific features: Function calling, system instructions, JSON mode, grounding, safety filters
- Understanding of NLP and multimodal understanding (text, image, video)
- Experience building scalable AI applications
- Familiarity with CI/CD pipelines for ML
- Experience with data pipelines, preprocessing, and storage (BigQuery, Cloud Storage)