• Home/
  • Careers/
  • Business Analyst - Prompt Engineering and AI

Business Analyst - Prompt Engineering and AI

Job ID: DEV-IND-2271

Department: Projects
Job Type: Permanent
Location: India

Job Details

Walk-in Interview on 29 & 30 January 2026, from 11:00 AM to 4:00 PM, at our Calicut office.

We are seeking a Business Analyst - Prompt Engineering and AI to play a pivotal role in shaping, validating, and delivering AI-driven innovation initiatives. This is a strategic role that goes beyond traditional IT business analysis and combines innovation evaluation, AI feasibility, prompt engineering, and client-facing requirement leadership.

You will act as a bridge between business strategy, emerging AI technologies, and execution, evaluating ideas from concept to delivery to ensure they are technically feasible, financially viable, and strategically aligned. The role involves working closely with business leaders, clients, and AI/engineering teams to turn high-impact ideas into meaningful outcomes.

Key responsibilities:

AI Innovation, Feasibility & Value Assessment

Conduct comprehensive feasibility and value analysis for new ideas, products, and features

Evaluate AI readiness, including data availability, model suitability, risks, and cost implications

Assess build vs. buy decisions for AI solutions, including API usage, token costs, infrastructure, and scalability

Identify high-impact use cases for Generative AI, NLP, Computer Vision, and intelligent automation

 Business Case & Strategic Analysis

Develop robust business cases outlining ROI, investment, success metrics, risks, and assumptions

Perform market, competitor, and trend analysis to validate innovation opportunities

Separate AI hype from practical, value-driven business solutions

Assess AI-specific risks such as hallucinations, compliance, ethics, and data privacy

 Requirement Discovery & Client Engagement

Lead client and stakeholder discussions to understand business goals, workflows, and decision-making needs

Own end-to-end requirement gathering and analysis for AI-powered initiatives

Translate business needs into clear AI use cases, functional specifications, and user journeys

Facilitate workshops, ideation sessions, and requirement validation meetings

 Prompt Engineering & AI Solution Design

Design, test, and continuously refine high-quality prompts for generative AI systems

Define AI behavior guidelines, response standards, and validation criteria

Evaluate AI outputs for relevance, accuracy, consistency, and alignment with business intent

Collaborate closely with AI engineers, data scientists, developers, and QA teams

 Delivery, Validation & Optimization

Ensure AI solutions delivered meet the original business case and success metrics

Support UAT, demos, and solution validation with internal teams and clients

Manage requirement changes and maintain traceability from idea to AI output

Drive continuous improvement of AI solution quality and effectiveness

 Innovation Leadership

Stay current with emerging AI models (LLMs, SLMs), tools, and best practices

Proactively propose new innovation opportunities aligned with business strategy

Mentor junior analysts or prompt engineers and promote best practices

Requirements (Qualifications/Experience/Competencies)

Bachelor’s degree in Business Administration, Computer Science, Information Systems, Economics, or a related field

5–7 years of experience as a Business Analyst, Product Owner, Functional Analyst, or Solutions Analyst

Proven experience working on AI/ML or Generative AI initiatives

Strong understanding of the AI development lifecycle, including:

Data readiness

Model selection and tuning concepts

Prompt engineering fundamentals

Hands-on experience in prompt design, optimization, and AI output validation

Demonstrated ability to build business cases, feasibility studies, and financial models

Strong analytical, problem-solving, and strategic thinking skills

Experience translating business strategy into actionable technical and AI requirements

Excellent stakeholder management and communication skills, including senior leadership and clients

Solid understanding of SDLC, Agile, and Scrum methodologies

Proficiency in tools such as:

MS Excel (financial modeling), PowerPoint

Jira, Confluence

Visio, Miro, Draw.io

Working experience with data analysis or visualization tools (SQL, Tableau, Power BI)

Good to Have

Experience working with LLMs, chatbots, or AI-powered enterprise platforms

Familiarity with platforms such as ChatGPT, Azure OpenAI, Google Gemini, or similar

Exposure to AI-assisted coding or productivity tools (e.g., GitHub Copilot, Cursor)

Certifications such as CBAP, PMI-PBA, CCBA

Background in SaaS, digital platforms, media, or enterprise technology solutions, data consolidation platforms including Hub360D