Grant Thornton
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Kolkata · On-site · 1-4 Yrs · Just now
Accounting & Tax · 5001 to 10000 Employees · Chicago, US
Forget what you’ve come to expect from a career in professional services. Here, we aren’t afraid to do things differently. We go beyond what’s expected and help others do the same. We’re Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd (A.K.A. one of the world’s leading independent assurance, tax and advisory firms). With more than 8,000 professionals across 51 offices nationwide, we’re ready to help public and private organizations of all sizes take on today’s challenges. But what sets us apart isn’t what we do -it’s how we do it. Here, we believe in making business more personal and building trust into every result. We’re collaborators – obsessed with quality and ready for anything – who understand the value of strong relationships. It’s how we challenge the expectations of business and empower our people and clients to do it, too.
What employees say
+ Great culture at the firm!
− No cons experienced during my stint!
More reviews on the company profile.
Interview experience · Assistant Manager
The interview process was structured and professional, covering technical knowledge, practical problem-solving, relevant experience, and behavioral aspects. The discussions were interactive and provided a clear understan
Average difficulty · Mumbai · 224 reports
More interview insightsJob description
Overview
We are seeking a experienced AI/ML Engineer with 1-3 years of experience to lead the design and development of enterprise-scale AI platforms, including agentic AI systems and generative AI solutions.
Responsibilities
- Design and implement scalable AI platforms supporting agentic AI systems and autonomous workflows
- Build advanced RAG (Retrieval-Augmented Generation) pipelines and multi-agent systems
- Develop multimodal AI systems (text, image, audio) for enterprise use cases
- Lead AI product development from concept to production deployment
- Develop and deploy predictive models and advanced analytics solutions
- Design scalable ML systems for real-time and batch processing
- Implement optimization techniques such as PEFT, LoRA, QLoRA, and mixed precision training
- Ensure robustness using frameworks like RAG Triad (retrieval, augmentation, generation evaluation)
- Design systems using microservices and hexagonal architecture patterns
- Build and maintain scalable data pipelines and API integrations
- Ensure seamless integration between AI services and enterprise platforms
- Lead system design reviews and ensure high availability, scalability, and security
- Implement end-to-end MLOps pipelines, including CI/CD for ML systems
- Deploy and manage models using Kubernetes and Docker
- Automate model lifecycle management and continuous retraining workflows
- Work with modern data platforms such as Databricks and Cosmos DB
- Optimize large-scale data processing and storage for AI workloads
- Define and implement AI governance frameworks
- Ensure compliance with responsible AI principles (fairness, explainability, transparency)
- Implement guardrails and safety mechanisms for LLM systems
Qualifications
- 1-3+ years of experience in AI/ML engineering, architecture, or data science
- Strong expertise in Generative AI and LLM architectures
- Proven experience building AI products at scale
- Deep understanding of agentic AI systems and autonomous agents
- Expertise in advanced analytics and predictive modeling
- Technical Expertise
- AI frameworks: LangChain, LangGraph, RAG, RLHF, multimodal AI
- LLM optimization: PEFT, LoRA, QLoRA, mixed precision
- Strong experience with Python and ML frameworks (PyTorch, TensorFlow)
- MLOps: CI/CD pipelines, model monitoring, lifecycle management
- Containers orchestration: Kubernetes, Docker
- Architecture: microservices, hexagonal architecture
- Cloud Data Expertise
- Strong experience with:
- AWS (S3, SageMaker, Redshift, Glue)
- GCP and Azure
- Databricks, Cosmos DB
- Strong background in AI platform engineering
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Job application FAQ
Last updated 15 September 2026
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- This is a mid-level AI Security Engineer - Consultant role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.