Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
Qualifications
Advanced proficiency in Google Cloud Platform (GCP) Architecture
Advanced proficiency in Apache Airflow
Minimum of 4 years of experience in cloud architecture, data engineering, AI, or related technical roles
Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related field
Strong experience designing and implementing scalable cloud-based solutions
Experience developing full-stack applications and integrating AI capabilities into business solutions
Knowledge of machine learning workflows, model optimization, and deployment strategies
Responsibilities
Collaborate with multiple teams and stakeholders to deliver innovative AI-powered solutions
Design and implement end-to-end systems leveraging Large Language Models (LLMs) and Generative AI technologies
Optimize and fine-tune LLMs to improve response quality, relevance, and accuracy using domain-specific knowledge
Develop effective prompts and prompt engineering strategies for Generative AI applications
Build and maintain data pipelines and orchestration workflows using Apache Airflow
Develop and deploy full-stack applications in cloud environments
Apply domain adaptation techniques and utilize specialized datasets to improve model performance
Provide technical leadership, contribute to architecture decisions, and support complex problem-solving across teams
Ensure solutions are scalable, secure, and aligned with business objectives
Nice to Have
Advanced proficiency in Generative AI
Advanced proficiency in Large Language Models (LLMs)
Advanced proficiency in Python
Advanced proficiency in SQL Databases
Intermediate proficiency in Cloud Security
Experience with MLOps practices and model lifecycle management
Familiarity with vector databases, RAG architectures, and AI governance frameworks
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