A leader who combines Enterprise Architecture, Delivery Leadership, and Specification Engineering, capable of operating in a repository-driven, agentic development environment, where success depends on precision of definition rather than volume of coding, leveraging the CLIENT-provided ecosystem (Claude agents, structured repository, predefined skills, and artifacts).

This role is accountable for translating enterprise requirements into deterministic, machine-executable specifications and delivering a production-grade application using an Agentic Micro Pod (AMP) model.

Core Responsibilities

1. Agentic Delivery Leadership (Define → Lock → Simulate → Bind → Scale)

• Lead execution across all NEW-AI-SDLC phases:
• Define: Convert BRDs into structured intent slices and domain models
• Lock: Freeze schema, APIs, and behavioral contracts
• Simulate: Validate logic through agentic dry runs and dependency sequencing
• Bind: Drive code generation via Claude agents
• Scale: Industrialize delivery across modules and AMPs
• Ensure high specification completeness (≥85%) prior to build
• Eliminate ambiguity that impacts agentic execution quality

2. CLIENT Repository Utilization Strategy

• Define how to effectively leverage:
• CLIENT-provided agents and skill libraries
• Event libraries and reusable components
• Existing data models and design artifacts
• Establish:
• Repository consumption and extension patterns
• Governance for reuse vs customization
• Alignment of new schema with repository standards

3. Data & Schema Ownership

• Lead design of:
• Enterprise ERDs (25–30+ core entities)
• Transactional and event-driven data models
• Kafka-compatible event schemas
• Ensure:
• Referential integrity and normalization
• Deterministic data behavior for agent execution
• Compatibility with repository structures

4. AMP (Agentic Micro Pod) Operating Model

• Define and operationalize:
• AMP structure (2 resources per pod)
• Skill allocation based on agentic maturity
• Phase-based distribution of effort
• Drive:
• Dependency sequencing discipline
• Cross-AMP coordination
• Module-level ownership (e.g., Resources, Projects)

5. Specification Engineering & JIRA Governance

• Establish standards for:
• High-fidelity, agent-consumable JIRA stories
• Temporal logic clarity
• Data integrity and validation rules
• Implement:
• Specification quality scoring frameworks
• Acceptance criteria rigor (10–20 per story)
• “Ruggedness-first” validation approach

6. Architecture & Technology Oversight

• Own solution architecture across:
• Frontend: React (UI-driven workflows)
• Backend: Spring Boot (modular services)
• Database: MySQL (transactional + event support)
• Streaming: Kafka (event-driven processing)
• Ensure:
• API-first architecture
• Clear separation of concerns
• Event consistency and replay capability

7. Risk, Cost, and Execution Control

• Identify and mitigate:
• Specification gaps
• Repository misalignment risks
• AMP execution inefficiencies
• Drive:
• Predictable delivery timelines
• Reduction in rework cycles
• Cost-efficient execution (despite CLIENT bearing runtime costs)

8. Stakeholder & Governance Interface

• Act as primary interface with:
• CLIENT Product Owner (junior BA equivalent)
• Repository/platform stakeholders
• Internal Mantrapoynt leadership
• Translate:
• Business requirements → structured system intent
• Repository constraints → architectural decisions

Required Experience

Core Experience

• 12–18+ years in enterprise application delivery
• Leadership of large-scale systems (multi-entity, multi-module)
• Strong background in data-centric architecture
• Retail Merchandising experience is a plus

Technical Expertise

• Data modeling (ERD, normalization, referential integrity)
• API and event-driven architecture
• Hands-on familiarity with:
• React
• Spring Boot
• MySQL
• Kafka

AI / Agentic Exposure (Preferred)

• Experience with LLM-assisted development workflows
• Familiarity with tools like Claude AI
• Prompt-driven specification and automated build pipelines

Key Competencies

• Specification-first thinking
• Strong systems decomposition capability
• Data-driven architecture mindset
• Execution discipline in dependency sequencing
• Ability to balance reuse with custom design

Job Type: Full-time

Pay: ₹2,700,000.00 - ₹4,200,000.00 per year

Experience:

• AI: 2 years (Required)
• SQL: 6 years (Required)
• Web development: 10 years (Required)

Language:

• English at an Outstanding Level (Required)

Shift availability:

• Night Shift (Preferred)
• Day Shift (Preferred)
• Overnight Shift (Preferred)

Work Location: Remote