Description :

Role : Functional Architect GenAI & Agentic AI.

Location : Mumbai / Pune.

Role Overview :

We are seeking a highly experienced Functional Architect / Senior Business Analyst with a strong background in Capital Markets / Financial Services to lead the business analysis, solution design, and drive implementation of Generative AI and Agentic AI solutions.

The ideal candidate will bridge business needs and AI capabilities - defining requirements, designing workflows, and shaping AI-driven automation strategies that deliver measurable business impact.

You will collaborate closely with business stakeholders, data scientists, AI engineers, and RPA/Agentic developers to translate business problems into intelligent, automated, and context-aware digital solutions.

Key Responsibilities :

Business Analysis & Requirement Definition :

- Engage with business stakeholders to identify and prioritize AI-driven automation opportunities.

- Gather, document, and validate business requirements, user journeys, and process pain points across Finance, Digital, and Customer Operations domains.

- Define functional and non-functional requirements for GenAI, LLM-based, and Agentic AI use cases.

- Create use case blueprints including context, objectives, actors, sample prompts, data sources, expected outcomes, and performance metrics.

Solution Design & AI Enablement :

- Work with AI/Agent engineers to design Agentic AI architectures, multi-agent workflows, and prompt engineering strategies.

- Define AI decision flows, orchestration logic, and knowledge sources (documents, APIs, CRM, ERP, databases, etc.

- Support data readiness and context preparation (structured/unstructured data, embeddings, vector stores).

- Map legacy or manual workflows to GenAI-powered experiences (chatbots, copilots, process advisors, autonomous agents).

- Design and review mock-ups, low-fidelity prototypes, and process simulations.

Cross-functional Collaboration :

- Partner with technology, operations, and data teams to align business outcomes with AI implementation feasibility.

- Collaborate with UX teams to ensure AI-driven experiences are intuitive and aligned with business processes.

- Coordinate with project managers to ensure delivery milestones, scope, and success metrics are achieved.

Domain Expertise & Value Realization :

Apply deep domain knowledge in :

- Finance : Order-to-Cash, Record-to-Report, FP&A, Procurement.

- Digital Operations : Campaign management, content generation, analytics automation.

- Customer Operations : Support process optimization, knowledge automation, customer experience improvement.

- Translate domain challenges into GenAI-enabled insights and decision-support workflows.

- Track and measure business value realized from AI and automation initiatives.

Governance, Documentation & Change Management :

- Maintain AI use case repository, requirement traceability, and change logs.

- Contribute to AI governance frameworks, ensuring transparency, explainability, and compliance.

- Conduct user training, stakeholder demos, and feedback sessions for continuous improvement.

Required Skills & Experience :

Technical & Functional :

- 15-18 years of experience as a Business Analyst, with at least 3 - 4 years in AI/Automation/Intelligent Process Transformation projects.

- Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI frameworks, and RPA.

- Hands-on experience in defining AI use cases, prompt frameworks, conversational flows, and agent behaviors.

- Knowledge of APIs, data pipelines, and knowledge graph concepts for AI enablement.

- Experience working with Autogen, UiPath, Microsoft Copilot Studio, OpenAI, Anthropic, LangChain, or similar platforms.

- Familiarity with process modeling (BPMN/UML) and tools such as Visio, Lucidchart, or ARIS.

- Exposure to cloud-based AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Business & Analytical :

- Proven expertise in Capital Markets / Financial Services business domain.

- Strong analytical, problem-solving, and data interpretation skills.

- Ability to map business KPIs to AI/automation success metrics.

- Excellent communication and stakeholder management across business and IT.

- Experience in developing business cases, ROI models, and value realization reports.

Preferred Qualifications :

- MBA or equivalent degree in Business, Technology, or Operations Management.

- Certifications : CBAP, PMP, UiPath Business Analyst, AI/ML Foundations, or GenAI certifications.

- Exposure to Agentic platforms such as n8n, AutoGPT based architectures.

- Experience in Agile or Hybrid project delivery methodologies.

Key Attributes :

- Strategic thinker with a passion for innovation through AI.

- Self-starter with strong ownership and outcome orientation.

- Excellent interpersonal skills with the ability to engage both executives and technical teams.

- Curiosity-driven mindset with a focus on continuous learning in AI trends and technologies.

Example Project Exposure (Preferred) :

- GenAI-powered knowledge assistants or copilots.

- Agentic AI process automation (multi-agent workflows).

- Finance process intelligence or document automation.

- Customer support chatbot or decision assistant.

- AI-driven insights for operations and analytics.