Hyderabad, Telangana, India
Information Technology
Full-Time
Swaran Soft
Overview
🧾 Job Title: Business Analyst
đź“Ť Location: Gurgaon
🕒 Experience Required: 2–3 Years
đź’Ľ Employment Type: Full-time
🎯 Job Overview
Swaran Soft Support Solution Pvt Ltd is seeking a dynamic, forward-thinking Business Analyst with 2–3 years of experience, ideally in AI/ML-focused environments. The ideal candidate will have strong skills in requirement analysis, documentation, stakeholder collaboration, and hands-on exposure to AI technologies, including LLMs (Large Language Models), Prompt Engineering, and Agentic AI. This is a high-impact role that requires working closely with developers, data scientists, and project managers to ensure the successful design and delivery of intelligent business solutions.
đź“š Key Responsibilities
âś… Requirement Gathering & Analysis
đź“Ť Location: Gurgaon
🕒 Experience Required: 2–3 Years
đź’Ľ Employment Type: Full-time
🎯 Job Overview
Swaran Soft Support Solution Pvt Ltd is seeking a dynamic, forward-thinking Business Analyst with 2–3 years of experience, ideally in AI/ML-focused environments. The ideal candidate will have strong skills in requirement analysis, documentation, stakeholder collaboration, and hands-on exposure to AI technologies, including LLMs (Large Language Models), Prompt Engineering, and Agentic AI. This is a high-impact role that requires working closely with developers, data scientists, and project managers to ensure the successful design and delivery of intelligent business solutions.
đź“š Key Responsibilities
âś… Requirement Gathering & Analysis
- Collaborate with business stakeholders to gather, define, and refine business and technical requirements.
- Identify gaps in existing workflows and recommend data-driven improvements, particularly leveraging LLMs and Agentic AI capabilities.
- Prepare comprehensive BRDs, FRS, and User Stories with a clear understanding of AI-driven solution design.
- Create process maps, user flows, and wireframes to guide technical implementation.
- Work alongside AI/ML teams to:
- Define data inputs, expected model outcomes, and business impact.
- Collaborate on prompt engineering strategies for LLM applications (e.g., GPT, Claude, PaLM).
- Explore use cases for Agentic AI systems to automate decision-making and enhance customer/user experiences.
- Monitor and analyze AI/LLM outputs to ensure alignment with business goals.
- Draft and test prompts for different LLM-based use cases to improve output accuracy and utility.
- Develop prompt templates for reuse across departments and optimize based on iterative feedback.
- Act as the bridge between technical and non-technical teams to ensure common understanding and smooth delivery.
- Provide consistent progress updates and demos to internal teams and clients.
- Support in UAT planning and execution, ensuring that LLM/AI-driven systems meet acceptance criteria.
- Track bugs and iterate with the dev team to improve solution robustness and performance.
- Stay updated with the latest trends in AI, LLMs, Prompt Engineering, and Agentic AI.
- Analyze competitor solutions and recommend strategies for innovation and optimization.
- Bachelor’s degree in Computer Science, IT, Business Administration, or related fields.
- 2–3 years of experience in Business Analysis, especially in AI/tech environments.
- Strong understanding of AI/ML lifecycles, including LLMs, prompt engineering techniques, and agent-based AI systems.
- Familiarity with AI model structures, training data considerations, and performance metrics.
- Experience with tools like Jira, Confluence, Trello, SQL, and Excel for documentation and project tracking.
- Knowledge of process mapping tools (Lucidchart, Visio, etc.).
- Excellent analytical, problem-solving, and communication skills.
- Certification in Business Analysis (CBAP/CCBA) or AI/ML (Coursera, edX, etc.).
- Knowledge of Agile/Scrum methodologies.
- Understanding of API integrations, predictive analytics, and data visualization tools.
- Exposure to Python, R, or other data analysis/programming languages.
- Experience with LLM platforms such as OpenAI, Hugging Face, Cohere, or Anthropic.
- 🌟 Be a pioneer in implementing LLM and Agentic AI in real-world business solutions.
- 🌟 Work on cutting-edge AI technologies in a collaborative environment.
- 🌟 Gain end-to-end exposure to AI solution delivery and innovation strategy.
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