Job Description:

- Identify agentic-AI opportunities with manufacturing, engineering and value teams, distinguishing appropriate

- automation from human-controlled decisions.

- Design agent architectures that combine Digital Twin context, retrieval, tools, workflows, memory boundaries and

- enterprise system integrations.

- Define prompts, policies, planning/orchestration logic, state management, exception handling and approval

- checkpoints.

- Build secure connectors and tool interfaces for industrial data platforms, MES, ERP, maintenance, quality,

- knowledge repositories and workflow systems.

- Implement retrieval-augmented generation and grounding patterns using governed documents, structured data and

- twin/asset context.

- Design evaluation frameworks covering task success, groundedness, latency,



cost, robustness, safety and

- operational value.

- Apply responsible AI controls including access boundaries, audit trails, data protection, human oversight and failure-

- secure behaviour.

- Lead prototyping, testing, productionization and monitoring of multi-agent or tool-using workflows.

- Coordinate with architects, cybersecurity, data engineering, Digital Twin, UX and business teams to manage

- dependencies and risks.

- Mentor engineering teams, establish reusable patterns and present design decisions and limitations to senior

- stakeholders.

📌 Agentic AI Engineer - Digital Twin (India)
🏢 Acme Services Private
📍 India