Job Description

Looking for a rewarding career with global impact?  Then consider Accenture’s rapidly expanding Global Network with approximately 9,000 Management Consulting and Strategy professionals (we like to call them rock stars!) based in a network of prominent locations around the world. 

Global Network Professionals:

• Thrive in a fast-paced, inclusive environment with countless opportunities to learn and grow

• Collaborate with diverse organizations on groundbreaking projects

• Enjoy the camaraderie of working together towards a common goal and forming lasting friendships

If this sounds like the right team for you, we invite you to read on.

Key Responsibilities:

Although no two days at Accenture are the same, as Intelligence and Insights Platform Automation Engineer in our Talent & Organization (T&O) practice, a typical day might include: This role operates at the intersection of Data Science, Software Engineering, Cloud Platform Engineering, and Responsible AI governance, and goes beyond pure LLM feature development.

• Fetching secondary data & research information from various sources and analyzing it to better understand organization related metrics

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Build out data mockups to test the prescriptive analytics hypothesis

  • Working knowledge on development, deployment and prototyping platform & insight solutions to improve the product landscape

  • Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models

• Design LLM orchestration workflows using Azure OpenAI with strict prompts, structured outputs, agent chaining, and cost control.

• Implement vector retrieval and grounding using vector DB to support LLM-based insights.

• Hands on experience with Machine Learning Algorithm, supervised and unsupervised modelling, classification, regression and NLP techniques such as sentiment analysis and entity detection

• Run numeric simulations leveraging statistic techniques such as self-organizing maps, boosting methods, support vector machines neural network etc.

• Perform custom analytics to deliver insight to clients and present results to non-technical stakeholders in a clear manner

• Understand framework design organizational concepts and linking analytics results with Behavioral Science or Industrial and Organizational Psychology related concepts

• Contribute to innovation and new product development in the people and organization analytics space

Job Requirements