Business Analyst

Description:

As a Business Analyst – AI & Agentic Solutions, you will act as a key bridge between clients, business stakeholders, product teams, and technical teams, backed by a strong understanding of Generative AI, Agentic AI, and modern AI-enabled products. You will combine traditional Business Analysis strength with a product-oriented mindset and practical knowledge of the AI ecosystem. You will understand the client's business problem, analyze existing processes and systems, identify where AI and Agentic AI can create value, and translate those opportunities into well-defined product and solution requirements.This is not a software development role, and writing code is not expected. However, you will independently research and evaluate AI models, APIs, platforms, open-source solutions, agentic frameworks, automation tools, and third-party services, and work with engineering teams to determine how they can be incorporated into the proposed solution. You should understand AI and Agentic AI well enough to hold meaningful technical conversations with AI engineers. Exceptional research, analytical, documentation, and client communication skills are essential.
THE LOCATION: Islamabad, Pakistan
RESPONSIBILITIES:Business Analysis & Requirements Engineering
Engage clients and stakeholders to understand objectives, processes, pain points, users, constraints, and outcomes
Conduct discovery sessions, interviews, workshops, and research to gather and validate requirements
Translate business needs into functional and non-functional requirements
Develop BRDs, FRDs, SRS, user stories, use cases, acceptance criteria, and process flows
Identify gaps, ambiguities, dependencies, assumptions, and risks, and drive their resolution
Maintain requirements traceability throughout the lifecycle
Product & Solution Analysis
Evaluate requirements for user experience, business value, feasibility, scalability, and long-term evolution
Translate business ideas into structured features, workflows, user journeys, and specifications
Partner with product, UI/UX, AI, engineering, and QA teams to create actionable development tasks
Maintain product backlogs and support prioritization by value, impact, dependencies, and feasibility
Act as the voice of the client and end user throughout design and implementation
Participate 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, multimodal models, RAG, embeddings, vector databases, agents, tool calling, memory, knowledge bases, prompt engineering, guardrails, and human-in-the-loop workflows
Understand how AI agents interact with applications, APIs, enterprise systems, databases, knowledge sources, and other agents
Translate processes into agentic workflows covering triggers, decisions, agent roles, tools, information sources, approvals, exception handling, and outcomes
Collaborate with AI and engineering teams to make workflows implementable
Assess AI risks and limitations: hallucinations, privacy, accuracy, explainability, security, latency, cost, and reliability
AI Technology & Solution
Research (Key Focus Area)Independently research AI models, APIs, platforms, open-source solutions, automation tools, agentic frameworks, and third-party services
Assess whether existing APIs, SaaS, open-source models, or automation platforms meet needs before recommending custom development
Compare options on capabilities, accuracy, licensing, pricing, integration complexity, scalability, deployment, privacy, maturity, and vendor dependency
Research commercial and open-source models for text, voice, document intelligence, vision, OCR, search, and multimodal use cases
Research APIs and integration options of third-party and enterprise platforms
Explore low-code/no-code and orchestration tools such as n8n, Power Automate, Copilot Studio, Make, and Zapier
Prepare comparison matrices, feasibility assessments, solution options, and recommendations
Conduct hands-on experimentation with AI tools to understand capabilities (no coding required)
Documentation & Solution Communication
Produce clear, structured, client-ready documentation
Develop process diagrams, workflow diagrams, user journeys, use cases, functional flows, and agentic workflow diagrams
Document AI use cases, agent responsibilities, knowledge requirements, system interactions, integrations, expected behaviors, and exception scenarios
Prepare solution concept documents, discovery reports, gap analyses, feature specifications, research reports, comparison matrices, and presentations
Explain technical concepts in business-friendly language
Maintain accurate, version-controlled, traceable documentation throughout the project
Client & Stakeholder Coordination
Act as the bridge between clients, stakeholders, product, AI, developers, QA, and project management
Participate in, and where appropriate lead, client requirement and discovery meetings
Present requirements, workflows, features, research findings, and solution concepts to clients
Coordinate clarifications and ensure decisions and action items are documented and communicated
Manage stakeholder expectations and ensure client and delivery team alignment
Support client demos, UAT, feedback collection, and solution acceptance
Quality & Acceptance
Define clear, measurable acceptance criteria for conventional and AI-enabled features
Work with QA to ensure test scenarios cover business requirements
Define expected behaviors and evaluation scenarios for AI assistants, chatbots, RAG applications, and agentic workflows
Support validation of conversational AI for relevance, accuracy, context handling, hallucinations, fallback behavior, and adherence to requirements
Participate in UAT to ensure delivery aligns with documented requirements and business outcomes

BASIC QUALIFICATIONS: We are looking for candidates with approximately 1–3 years of relevant experience, with strong Business Analysis fundamentals and demonstrated interest or experience in AI-enabled products. Candidates whose AI exposure is limited to using chat assistants or writing prompts will not meet the requirements of this role.
Business Analysis (Core Requirement)Requirements Engineering: Strong experience in requirements elicitation, analysis, stakeholder interviews, workshops, process analysis, and requirements management.
Business Documentation: Excellent capability in preparing BRDs, FRDs/SRS, user stories, use cases, functional specifications, acceptance criteria, process flows, and client-facing solution documents.
Product Understanding: Ability to think beyond individual requirements and understand the overall product, user journey, business objectives, dependencies, and future evolution.
Product & Process Modeling: Proficiency with tools such as Draw.io, Microsoft Visio, Miro, Lucidchart, Figma, or equivalents for representing processes, workflows, user journeys, and system interactions.

AI & Technology (Core Requirement)
AI & Agentic AI Knowledge: Strong practical understanding of Generative AI, LLMs, RAG, AI agents, agent orchestration, conversational AI, prompt engineering, knowledge bases, tool calling, and AI-enabled automation.
Technology Research: Ability to independently research and compare AI models, APIs, SaaS platforms, open-source technologies, agentic frameworks, and automation tools for specific business requirements.
API & Integration Understanding: Good conceptual understanding of APIs, webhooks, system integrations, databases, authentication, and data flows. The candidate is not expected to develop these integrations.
Analytical & Research Skills: Ability to independently investigate unfamiliar business and technology domains, synthesize findings, evaluate alternatives, and make structured recommendations.

Communication & Stakeholder Management
Communication & Presentation: Exceptional written and verbal English communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
Stakeholder & Client Management: Experience working directly with clients and coordinating across product, engineering, QA, design, and business teams.
User-Centric Thinking: Ability to represent the needs of clients and end users and keep them at the center of solution design.

Delivery & Professional Attributes
Agile & Scrum: Experience with sprint planning, backlog refinement, reviews, retrospectives, and tools such as JIRA, ClickUp, or equivalents.
Documentation & Traceability: Strong attention to detail and ability to maintain structured documentation, decision logs, change history, and requirements traceability.
Problem Solving & Initiative: Ability to independently identify gaps, investigate possible solutions, evaluate alternatives, and drive requirements toward closure.
Adaptability: Comfort working in a fast-evolving AI landscape, learning new tools and domains quickly, and adjusting to changing client priorities.

EDUCATIONAL QUALIFICATIONS: 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 background.Important