Technical Business Analyst - AI Solutions

As a Business Analyst – AI & Agentic Solutions, you will serve as a vital link between clients, business stakeholders, product teams, and technical teams. Your role involves leveraging a strong understanding of Generative AI, Agentic AI, and AI-enabled products to analyze client business problems, assess existing processes, and identify opportunities where AI can add value. You will translate these insights into clear product and solution requirements. While this position does not involve software development or coding, you will independently research AI models, platforms, APIs, and automation tools, collaborating closely with engineering teams to integrate these technologies effectively. Strong analytical, documentation, and client communication skills are essential for success in this role. The position is based in Islamabad, Pakistan.

Key Responsibilities

Business Analysis & Requirements Engineering:
Engage with clients and stakeholders to understand their objectives, processes, pain points, and constraints. Conduct discovery sessions, interviews, and workshops to gather and validate requirements. Translate business needs into functional and non-functional requirements and develop comprehensive documentation such as BRDs, FRDs, 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 based on user experience, business value, feasibility, and scalability. Translate business ideas into structured features, workflows, and user journeys. Collaborate with product, UI/UX, AI, engineering, and QA teams to create actionable development tasks. Maintain product backlogs and assist in prioritization. Act as the voice of the client and end user during design and implementation phases, participating actively in sprint planning, backlog refinement, demos, UAT, and release planning.

AI & Agentic AI Analysis:
Identify opportunities for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), conversational AI, and intelligent automation. Apply knowledge of LLMs, multimodal models, embeddings, vector databases, agent orchestration, 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 workflows are implementable and assess AI risks such as 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 solutions before recommending custom development, comparing options on capabilities, accuracy, licensing, pricing, integration complexity, scalability, privacy, and vendor dependency. Explore low-code/no-code tools and conduct hands-on experimentation to understand AI tool capabilities without coding.

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

Client & Stakeholder Coordination:
Serve as the liaison between clients, stakeholders, product, AI, development, QA, and project management teams. Lead or participate in client meetings, present requirements and solution concepts, coordinate clarifications, and manage stakeholder expectations. Support client demos, UAT, feedback collection, and solution acceptance.

Quality & Acceptance:
Define clear acceptance criteria for AI-enabled and conventional features. Collaborate with QA to ensure test coverage aligns with business requirements. Support validation of conversational AI for relevance, accuracy, and adherence to requirements. Participate in UAT to confirm delivery meets documented outcomes.

Required Qualifications

- Approximately 1-2 years of relevant experience with strong fundamentals in Business Analysis and demonstrated interest or experience in AI-enabled products beyond basic prompt usage.
- Proven expertise in requirements elicitation, analysis, stakeholder engagement, workshops, and requirements management.
- Excellent skills in preparing BRDs, FRDs/SRS, user stories, use cases, acceptance criteria, process flows, and client-facing documentation.
- Ability to understand overall product vision, user journeys, business objectives, and dependencies.
- Proficiency with process and product modeling tools such as Draw.io, Microsoft Visio, Miro, Lucidchart, or Figma.
- Strong practical knowledge of Generative AI, LLMs, RAG, AI agents, prompt engineering, tool calling, and AI-enabled automation.
- Ability to independently research and evaluate AI models, APIs, SaaS platforms, open-source technologies, and automation tools.
- Good conceptual understanding of APIs, webhooks, system integrations, databases, authentication, and data flows (coding not required).
- Exceptional written and verbal English communication skills, with experience managing clients and coordinating cross-functional teams.
- Experience working in Agile/Scrum environments with tools like JIRA or ClickUp.
- Strong attention to detail, problem-solving skills, and adaptability in a fast-evolving AI landscape.

Educational Qualifications

A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related discipline from a reputable university with a strong academic record is required.

---

This role offers an exciting opportunity to work at the intersection of business analysis and cutting-edge AI technologies, contributing to innovative AI-enabled product solutions in a collaborative environment.