EXL

AI Engineer – Retail/CPG Domain

EXL  •  Gurugram, IN (Onsite)  •  8 days ago
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Job Description



We are seeking an experienced AI Engineer to lead and support Business Intelligence (BI) migration initiatives, modernizing legacy reporting systems into scalable, AI-driven analytics platforms. The role involves designing, developing, and deploying intelligent data solutions that enhance reporting accuracy, automate insights, and improve decision-making capabilities across the organization.

The AI Engineer will collaborate with data engineers, BI developers, and IT teams to migrate existing BI tools, optimize data pipelines, implement machine learning models, and integrate advanced analytics into the new BI ecosystem. This role requires strong expertise in data architecture, cloud platforms, AI/ML frameworks, and modern BI tools.

Key Responsibilities

  • Design, develop, and deploy AI solutions leveraging LLMs (GPT, Claude, open-source models).
  • Engineer and optimize prompts to improve accuracy and relevance across use cases.
  • Collaborate with cross-functional teams and retail/CPG stakeholders to identify and deliver high-impact AI solutions.
  • Monitor, fine-tune, and maintain models to ensure performance, scalability, and business alignment.
  • Implement AI/ML-driven efficiencies in BI migration initiatives (e.g., MicroStrategy to Metabase).
  • Ensure data governance, quality, and security throughout AI and migration processes.
  • Stay current with advancements in the AI/LLM ecosystem to drive continuous innovation.

Required Skills & Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
  • 3+ years of experience in AI/ML engineering and BI migration (Metabase , MicroStrategy).
  • Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).
  • Strong proficiency in Python, SQL, and ML frameworks
  • Strong understanding of data modeling, ETL processes, and analytics architecture.
  • Excellent problem-solving and communication skills.
  • Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions.

Preferred Qualifications

  • Integration of AI solutions into enterprise systems, BI tools, or customer-facing platforms.
  • Knowledge of ethical AI, data governance, and responsible AI practices in production environments.
EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
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