AI Solutions Consultant

Experience: 1-4 Years

About the Role

We are looking for technically capable problem solvers with leadership potential who are passionate about AI, technology, data, and solving real-world business challenges.

This is not a traditional Business Analyst role. You will work at the intersection of AI, technology, and business, collaborating with engineers, data scientists, and stakeholders to design, build, and deliver AI-powered solutions.

Key Responsibilities

• Analyze business problems and identify opportunities for AI, automation, and digital transformation.
  
• Perform data analysis and exploratory analysis to derive insights and validate solution hypotheses.
  
• Build prototypes, workflows, automations, and proof-of-concepts using AI and modern technology platforms.
  
• Write, modify, and test Python scripts, queries, prompts, or automation logic as required.
  
• Collaborate with AI engineers, data scientists, developers, and business stakeholders to deliver solutions.
  
• Translate business requirements into solution approaches, workflows, and implementation plans.
  
• Evaluate emerging AI technologies and recommend practical applications.
  

Required Skills

Technology & Data

• Strong understanding of databases, SQL, APIs, data models, and system integrations.
  
• Ability to perform exploratory data analysis and interpret data-driven insights.
  
• Ability to read, understand, and modify Python code.
  
• Understanding of application architecture and technical workflows.
  

AI & Machine Learning

• Understanding of LLMs, Generative AI, and Machine Learning fundamentals.
  
• Working knowledge of RAG, Semantic Search, Embeddings, Vector Databases, AI Agents, and Prompt Engineering.
  
• Hands-on experience using AI-assisted development environments such as Cursor, Claude Code, GitHub Copilot, Windsurf, or similar platforms.
  
• Hands-on experience building prototypes, automations, AI applications, agents, copilots, or technology solutions.
  

Preferred Qualifications

• 1-4 years of experience in technology consulting, analytics, software engineering, AI, data, product, or related technology roles.
  
• Experience working with Data Science, Data Engineering, ML, or Software Engineering teams.
  
• Strong ownership mindset, initiative, and leadership potential.