AI Solutions Consultant

About the Job

About Aligned Automation

At Aligned Automation, we live by our Better Together philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Experience: 1-4 Years

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.

• 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.
  

• 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.
  
  

• 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.
  

• 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.