Senior AI Engineer
Milestone Technologies (company site, opens in a new tab)6+ yrsKochiOn-siteDirect career pageEst. 15–28 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Configure and operationalize platform-native AI capabilities in Atlassian Cloud focusing on pre-migration analysis and productivity enhancements.
- Support migration engineering team with AI-assisted analysis such as workflows rationalization, duplication detection, and anomaly surfacing.
- Build prompt libraries, agent playbooks, and use-case catalogues; develop automation scripts; track AI adoption metrics; and enable stakeholders through training and documentation.
Minimum Requirements
- 6+ years in software/data engineering with at least 2 years hands-on in applied AI/LLM including prompt engineering and agent configuration.
- Proficiency in Python and REST APIs for scripting and analysis of large administrative datasets.
- Practical familiarity with Atlassian platform (Jira, Confluence) and its automation framework; ability to quickly learn Atlassian Intelligence and Rovo capabilities.
- Work Experience Required: 6+ years in software/data engineering
Ideal Candidate Profile
- Use-case-first working style emphasizing measurable benefits over tool-centric approaches.
- Experienced in clear documentation and enablement, comfortable presenting to non-technical stakeholders.
- Familiarity with enterprise responsible-AI guardrails, regulated-industry AI constraints, and Atlassian ecosystems (Forge, Connect) is advantageous but not mandatory.