Job Description
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
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
