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 business problems, existing processes, and systems. You will identify opportunities where AI can add value and translate these into clear product and solution requirements. This position focuses on business analysis rather than software development, so coding is not required. You will independently research AI models, APIs, platforms, and automation tools, collaborating with engineering teams to integrate these technologies effectively. Strong research, analytical, documentation, and communication skills are essential to succeed in this role.

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, risks, and dependencies, ensuring their resolution and maintain requirements traceability throughout the project lifecycle.

Product & Solution Analysis:
Evaluate requirements for 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 and maintain product backlogs. Represent the client and end user throughout 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 workflows are implementable and assess AI risks such as hallucinations, privacy, accuracy, and security.

AI Technology & Solution Research:
Independently research AI models, APIs, platforms, open-source solutions, automation tools, and agentic frameworks. Assess existing APIs, SaaS, and open-source models before recommending custom development. Compare options based 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.

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, integrations, expected behaviors, and exception scenarios. Prepare solution concept documents, gap analyses, research reports, and presentations. Explain technical concepts in business-friendly language and maintain version-controlled documentation.

Client & Stakeholder Coordination:
Act as the liaison between clients, stakeholders, product, AI, developers, QA, and project management teams. Lead or participate in client meetings to present requirements, workflows, and solution concepts. Manage clarifications, document decisions, and align expectations between clients and delivery teams. Support client demos, UAT, feedback collection, and solution acceptance.

Quality & Acceptance:
Define measurable acceptance criteria for AI-enabled features. Collaborate with QA to ensure test scenarios cover business requirements. Support validation of conversational AI for accuracy, relevance, and fallback behavior. Participate in UAT to confirm delivery aligns with documented requirements and business 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.
- Expertise in requirements elicitation, stakeholder interviews, workshops, process analysis, and requirements management.
- Proficiency 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, and future evolution.
- Skilled in product and process modeling tools such as Draw.io, Microsoft Visio, Miro, Lucidchart, or Figma.
- Strong practical knowledge of Generative AI, LLMs, RAG, AI agents, prompt engineering, knowledge bases, tool calling, and AI automation.
- Ability to independently research and compare AI technologies, APIs, SaaS platforms, 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 multidisciplinary teams.
- Familiarity with Agile and Scrum methodologies, including sprint planning and backlog management tools like JIRA or ClickUp.
- Strong attention to detail in documentation, traceability, and decision logging.
- Problem-solving mindset with initiative to identify gaps and drive solutions.
- Adaptability to fast-evolving AI technologies and 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 record.

Location: Islamabad, Pakistan