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 safe 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.
Location
- 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.
Your application
If you feel you fit this profile, please apply via careers@boundaryless.com
Please send your CV as well as an overview of automation/agentic projects you have delivered (include your role in discovery, requirements, UAT, and governance; exposure to Python-based orchestration and/or n8n is a plus).
Boundaryless is an equal opportunity employer. Our own team is a living example of this, with 9 nationalities and more than 50% female employees.
