About the role

AI summarised

AI Engineer role at Accenture's Applied Intelligence team, responsible for designing and implementing AI/ML models, building pipelines, and integrating AI into enterprise systems. The role involves working with classical ML, NLP, generative AI, and LLMs to deliver scalable AI solutions for clients across industries.

BusinessFull-timeOther Functions

Key Responsibilities

Develop and implement AI/ML models, including classical ML, NLP, and generative AI capabilities
Build pipelines for data preprocessing, feature engineering, model training, and evaluation
Develop APIs and components that integrate AI models into enterprise systems and applications
Contribute to retrieval-augmented generation (RAG), prompt engineering, and LLM-based workflow automation
Collaborate with architects, business analysts, and engineers to translate requirements into AI solutions
Implement monitoring, logging, and model performance tracking
Ensure AI solutions follow responsible AI principles, security standards, and compliance requirements
Participate in agile delivery ceremonies, code reviews, and continuous improvement practices

Requirements

Hands-on experience in machine learning, AI development, or data-driven software engineering
Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience working with LLMs (Azure OpenAI, OpenAI, or other enterprise AI platforms)
Familiarity with building APIs, microservices, or serverless functions
Experience working with cloud platforms such as Azure, AWS, or GCP
Strong knowledge of data structures, algorithms, and software engineering principles
Ability to analyze business problems and design AI-driven solutions
Experience with vector databases, embedding architectures, or LLMOps tooling
Understanding of MLOps practices including CI/CD for model deployment
Hands-on work with NLP pipelines, text analytics, or conversational AI
Experience working in regulated industries such as banking or financial services