Role Description

- The Agentic Analyst will support delivery of enterprise agentic automation solutions, working across business, data, and technology stakeholders.
- Translate business objectives, policies, and operating constraints into clear, implementable requirements for Python-based orchestration and agent workflows.
- Lead discovery workshops to identify use cases, triggers, decision points, exceptions, and human-in the-loop approvals required for secure execution.
- Define workflow specifications: routing logic, decision tables, data contracts, prompts/structured outputs, guardrails, and acceptance criteria.
- Work closely with Agentic Developers to ensure intent is preserved in implementation and outcomes are explainable, secure, and audit-ready.
- Drive UAT planning and execution; validate results, manage defect triage, and produce audit-ready documentation.
- Participate across discovery build rollout continuous improvement to improve agent performance and reduce operational risk.
- Pune, India (work arrangement depends on project needs; on-site/hybrid collaboration may be required).

Experience Requirements Qualifications

Core Skills Experience

- Minimum 3 years as a Business Analyst / Technical Analyst / Product Analyst in automation, workflow, integration, platform delivery, or digital transformation programs.
- Strong requirements engineering skills: workshops, user stories, process maps, acceptance criteria, traceability, and stakeholder alignment.
- Understanding of agentic automation concepts: tool-based execution, decisioning, exception handling, approvals, and safe boundaries.
- Ability to define human-in-the-loop controls (approval triggers, approver roles,



evidence capture, and escalation paths).
- Strong stakeholder management: ability to work with business users, operations, developers, architects, and security teams.
- Strong documentation standards and ability to produce clear, implementation-ready specifications.

Python / Orchestration Understanding (Good-to-Have)

- Exposure to Python-based orchestration or workflow execution patterns (even if not coding daily).
- Ability to define orchestration requirements for:
- Multi-step execution flows and dependencies
- APIs and system actions (inputs/outputs, retries, timeouts, failure paths)
- Run logging, traceability, and operational SLAs
- Ability to collaborate effectively with developers building orchestration code and reusable platform components.

Data Integration Knowledge (Good-to-Have)

- Understanding of APIs (REST), JSON payloads, and common authentication methods (API keys, OAuth2, JWT).
- Basic SQL literacy or ability to validate outputs via reports/dashboards is beneficial.
- Familiarity with data quality checks, reconciliation, and exception reporting is a plus.

Others (Good-to-Have)

- Experience working with LLM-enabled solutions (prompt patterns, structured JSON outputs, tool calling concepts, grounding/RAG basics).
- Exposure to governance, compliance,



or enterprise risk practices (audit evidence, operational controls).
- Agile/Scrum delivery experience (backlog management, sprint ceremonies, release planning).
- Knowledge of monitoring and alerting expectations for production workflows.
- n8n exposure (or similar orchestration tools) is a plus.

Main tasks and responsibilities

- Conduct discovery workshops to identify high-value enterprise agentic use cases aligned to Boundaryless s platform and delivery standards.
- Document end-to-end process flows including triggers, decision points, integrations, exceptions, and manual interventions.
- Produce artefacts such as: user stories, acceptance criteria, decision tables, data contracts, error handling requirements, and UAT test cases.
- Define agentic guardrails: what the agent can/cannot do, approval checkpoints, escalation paths, and logging/audit requirements.
- Specify LLM interaction requirements where applicable (inputs, outputs, structured response formats, safety constraints, evaluation criteria).
- Support developers during build by clarifying requirements and validating intermediate outputs against business intent.
- Lead UAT execution, coordinate defect triage, and manage sign-off readiness.
- Create operational documentation and audit-ready evidence: runbooks, expected outcomes, exception handling playbooks, and control evidence.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Agentic AI Analyst (Maharashtra)
🏢 Boundaryless
📍 Maharashtra