Talent & Organization – Intelligence and Insights Platform Automation - LLM Engineer

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.

YOUR ROLE

Although no two days at Accenture are the same, as Intelligence and Insights Platform Automation LLM 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

LOCATION REQUIREMENTS

• Gurugram, Mumbai, Bangalore

YOUR WINNING QUALITIES:

• Natural leader; easily establishes relationships with clients and colleagues
• Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world
• Determined; appreciates a challenge and overcoming obstacles to achieve results
• Digitally savvy; continuous learner

OUR COMMITMENT TO YOU – You will enjoy:

• A transparent career path designed for rapid career progression
• A supportive culture that is serious about training, coaching and continuous learning
• A global network where only state-of-the-art tools and technologies will do
• A bighearted environment with opportunities to give back to our local communities

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

 

BASIC QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Engineering, Computational Science, Statistics, Operational Research, or similar field.

REQUIRED EXPERIENCE/ SKILLS

• 3 to 5 years of experience in Computational Science/ Data Engineering/ Statistical Model Development with LLM based model exposure
• Experience with Azure-based Data and AI services such as Azure OpenAI, Azure Translator, and Cosmos DB, including rate limits, retries, and cost awareness.
• Data fluency and working knowledge of using LLMs and machine learning models

Exposure to data engineering & hands-on experience with APIs. Writing SQL query would be an add on

• Design and operate multi-stage, idempotent analytics pipelines for multilingual organizational data.
• Perform advanced data wrangling and quality control using Python (pandas), including encoding normalization, deduplication, deterministic batching, and chunking/reassembly with provenance tracking.
• Generally curious & has a knack for solving ambiguous problems. Able to think critically & out-of-the box.
• Self-learners with conceptual clarity with fundamentals of statistics

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.