Gemini Engineer

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements provides an unparalleled opportunity to grow and advance. About the Role Join 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. 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: Required Skills & Knowledge • AI/ML: Proficiency in Google Gemini LLMs and Vertex AI; deep learning frameworks (TensorFlow, PyTorch) • Programming: Python; familiarity with Java or Go • Cloud: Google Cloud Platform (Vertex AI, Cloud Run, GKE, BigQuery) • Gemini-specific: Function calling, system instructions, JSON mode, grounding, safety filters • NLP: Multimodal understanding (text, image, video) • Engineering: Scalable AI applications; CI/CD pipelines for ML • Data: Data pipelines, preprocessing, storage (BigQuery, Cloud Storage) Preferred Qualifications • Experience with Gemini 1.5 Pro/Flash (long context, multimodal reasoning) • MLOps and model monitoring on Vertex AI • LangChain/LlamaIndex integration with Gemini • Enterprise RAG architectures • Google Cloud certifications (Professional ML Engineer, Cloud Architect) • Client-facing or consulting experience • Responsible AI and Gemini safety filters