Business Analyst – AI & Agentic Solutions

Located in Islamabad, this full-time onsite role is ideal for a Business Analyst with 1 to 3 years of experience and a strong interest in AI-enabled products. The position focuses on bridging clients, business stakeholders, product teams, and technical teams by leveraging expertise in Generative AI, Agentic AI, and modern AI solutions. The candidate will analyze business problems, assess existing processes, and identify opportunities where AI can add value, translating these into clear product and solution requirements. This role does not involve software development or coding but requires independent research and evaluation of AI models, APIs, platforms, and automation tools. Strong communication, analytical, and documentation skills are essential to engage effectively with AI engineers and stakeholders.

Key Responsibilities

Business Analysis & Requirements Engineering:
Engage with clients and stakeholders to understand objectives, processes, and pain points. Conduct discovery sessions, interviews, and workshops to gather and validate requirements. Translate business needs into functional and non-functional requirements, developing BRDs, FRDs, SRS, user stories, use cases, acceptance criteria, and process flows. Identify gaps, dependencies, risks, and ambiguities, driving their resolution while maintaining requirements traceability throughout the project lifecycle.

Product & Solution Analysis:
Evaluate requirements for user experience, business value, feasibility, and scalability. Convert business ideas into structured features, workflows, and user journeys. Collaborate with product, UI/UX, AI, engineering, and QA teams to create actionable development tasks. Manage product backlogs and prioritize based on value and dependencies. Represent client and end-user perspectives during design and implementation, participating in sprint planning, backlog refinement, demos, UAT, and release planning.

AI & Agentic AI Analysis:
Identify opportunities for Generative AI, Agentic AI, RAG, conversational AI, and intelligent automation. Apply knowledge of LLMs, embeddings, vector databases, agents, prompt engineering, and human-in-the-loop workflows. Translate processes into agentic workflows covering triggers, decisions, roles, tools, approvals, and exception handling. Collaborate with AI and engineering teams to ensure implementable workflows. Assess AI risks including hallucinations, privacy, accuracy, security, latency, cost, and reliability.

AI Technology & Solution Research:
Independently research AI models, APIs, platforms, open-source solutions, automation tools, and agentic frameworks. Evaluate existing APIs, SaaS, and open-source models before recommending custom development. Compare options based on capabilities, pricing, integration complexity, scalability, privacy, and vendor dependency. Explore low-code/no-code tools like n8n, Power Automate, and Zapier. Prepare comparison matrices, feasibility assessments, and solution recommendations. Conduct hands-on experimentation with AI tools to understand capabilities.

Documentation & Solution Communication:
Produce clear, client-ready documentation including process diagrams, workflows, user journeys, use cases, and agentic workflow diagrams. Document AI use cases, system interactions, integrations, expected behaviors, and exception scenarios. Prepare solution concepts, discovery reports, gap analyses, feature specifications, and presentations. Explain technical concepts in business-friendly language and maintain version-controlled, traceable documentation.

Client & Stakeholder Coordination:
Act as a liaison between clients, stakeholders, and internal teams including product, AI, developers, QA, and project management. Lead or participate in client meetings, presenting requirements, workflows, and research findings. Coordinate clarifications, document decisions, manage expectations, and ensure alignment between clients and delivery teams. Support client demos, UAT, feedback collection, and solution acceptance.

Quality & Acceptance:
Define measurable acceptance criteria for conventional and AI-enabled features. Collaborate with QA to ensure test scenarios cover business requirements. Define evaluation scenarios for AI assistants, chatbots, and agentic workflows. Support validation of conversational AI for accuracy, context handling, and adherence to requirements. Participate in UAT to ensure delivery meets documented requirements and business outcomes.

Required Qualifications

- 1 to 3 years of relevant experience with strong fundamentals in Business Analysis and demonstrated interest or experience in AI-enabled products.
- Proven expertise in requirements elicitation, analysis, stakeholder interviews, workshops, and requirements management.
- Excellent skills in preparing BRDs, FRDs/SRS, user stories, use cases, functional specifications, acceptance criteria, and process flows.
- Ability to understand overall product vision, user journeys, business objectives, dependencies, and future evolution.
- Proficiency with tools like Draw.io, Microsoft Visio, Miro, Lucidchart, or Figma for process and workflow modeling.
- Strong practical knowledge of Generative AI, LLMs, RAG, AI agents, prompt engineering, knowledge bases, and AI-enabled automation.
- Ability to independently research and compare AI models, APIs, SaaS platforms, open-source technologies, and automation tools.
- Good conceptual understanding of APIs, webhooks, system integrations, databases, and data flows (coding not required).
- Exceptional written and verbal English communication skills for technical and non-technical audiences.
- Experience working directly with clients and coordinating across product, engineering, QA, and design teams.
- Familiarity with Agile and Scrum methodologies, including sprint planning, backlog refinement, and tools such as JIRA or ClickUp.
- Strong attention to detail with the ability to maintain structured documentation, decision logs, and requirements traceability.
- Problem-solving mindset with initiative to identify gaps, evaluate alternatives, and drive closure.
- Adaptability to fast-evolving AI landscapes and changing client priorities.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related field from a reputable university.

This role offers the opportunity to work at the forefront of AI innovation, collaborating with diverse teams to deliver impactful AI-driven solutions in a dynamic environment.