Senior Consultant​/Artificial Intelligence​/Artificial Intelligence

Senior Consultant In Artificial Intelligence

We are seeking a highly skilled Senior Consultant in Artificial Intelligence with strong expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have hands-on experience designing and implementing LLM-powered applications, building RAG-based systems, and developing AI/ML solutions using Python. The candidate will work closely with data scientists, AI engineers, and business stakeholders to design scalable AI architectures and deliver intelligent solutions that solve complex business problems.

• Python, Machine Learning, NLP, and text data analysis
• Experience building APIs and AI services
• Hands-on experience with RAG, Vector Databases, LLM Prompt Engineering, and LLM Evaluation

• Design and implement Machine Learning and Deep Learning models to solve complex business problems.
• Develop Generative AI solutions using modern Large Language Models (LLMs).
• Build scalable AI systems for text analytics, NLP, and intelligent automation.
• Develop applications leveraging Retrieval-Augmented Generation (RAG) architectures.
• Implement prompt engineering strategies to optimize LLM performance.
• Build and evaluate LLM pipelines, including data ingestion, retrieval layers, and response generation.
• Design and develop APIs for AI/ML services using Python frameworks.
• Integrate AI services with enterprise systems and applications.
• Ensure scalability, performance, and reliability of AI platforms.
• Perform model evaluation, monitoring, and performance tuning.
• Conduct LLM evaluation and benchmarking to measure model effectiveness.
• Work with text data pipelines, embeddings, and vector search mechanisms.
• Define solution architecture for AI and Generative AI systems.
• Implement scalable solutions using vector databases and AI orchestration frameworks.
• Guide teams on AI best practices, design patterns, and deployment strategies.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Translate business requirements into AI-driven solutions.
• Present technical designs, architecture decisions, and solution outcomes to stakeholders.

• Strong proficiency in Python programming
• Expertise in Machine Learning and Deep Learning
• Experience in Natural Language Processing (NLP) and text analytics
• Hands-on experience with Large Language Models (LLMs)
• Knowledge of RAG architecture and vector databases
• Experience in LLM prompt engineering and evaluation
• Experience building AI APIs and microservices
• Understanding of AI system scalability and deployment

• Experience with agentic frameworks and autonomous AI systems
• Knowledge of AI model lifecycle and MLOps
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with LLM orchestration frameworks such as Lang Chain or Llama Index

• The problem statement of previous AI projects
• Solution architecture and design decisions
• Technologies and frameworks used
• Challenges faced during implementation
• Results and business impact of the solution