Concepteur principal dirigeant la conception de systèmes BAS/CVAC chez Automated Logic. Développement, programmation, essais et mentorat pour des solutions intelligentes d’automatisation des bâtiments.
About the role
- AI-first Business System Engineer at CTC focused on designing AI-powered solutions to enhance business processes. Collaborating with teams to automate and standardize workflows for improved productivity and quality.
Responsibilities
- Design, build, and enable AI agents that help teams automate repetitive tasks, decompose requirements, create and update work items, summarize information, and improve decision-making
- Translate business problems into practical AI-enabled workflow designs, including agent instructions, prompts, knowledge sources, inputs, outputs, guardrails, and human review points
- Monitor adoption, collect feedback, analyze effectiveness, and continuously improve AI agents, automation rules, and Atlassian configurations
- Promote responsible AI usage by ensuring outputs are reviewed, assumptions are transparent, and AI-enabled workflows follow approved standards and access controls
- Configure and administer Atlassian capabilities across Jira and Confluence, including project settings, workflows, permissions, templates, fields, automation rules, and knowledge structures
- Design and configure Jira automations that improve project board hygiene, reduce manual updates, support traceability, and improve team efficiency
- Create Confluence templates, guidance pages, and knowledge structures that support AI agent performance, reusable standards, and consistent delivery practices
- Support the rollout and adoption of AI-enabled ways of working by creating playbooks, training materials, demos, office hours, and team coaching sessions
- Document agent designs, automation logic, configuration decisions, and operating procedures in alignment with CTC Engineering practices and governance standards
- Partner with BSA, Solution Architecture, Product, Engineering, QA, Delivery, and business teams to identify high-value AI and automation use cases.
Requirements
- Proven hands-on experience designing, building, testing, and improving AI agents using Atlassian Rovo Studio or comparable low-code/no-code AI agent platforms
- Strong understanding of how Jira and Confluence work together to support requirements, work item creation, traceability, delivery execution, and knowledge management
- Experience working with Atlassian automation, marketplace apps, integrations, or reporting capabilities is a strong asset
- Strong analytical skills with the ability to break down complex processes and translate them into simple, scalable workflow solutions
- Ability to identify process bottlenecks, standardization gaps, and automation opportunities across teams
- Experience creating clear documentation, process maps, templates, playbooks, training materials, and enablement content
- Strong facilitation and communication skills, with the ability to explain AI and platform concepts to both technical and non-technical audiences
- Ability to collaborate across BSA, Product, Engineering, Architecture, QA, Delivery, and business stakeholder groups
- Results-driven and comfortable working in a fast-paced, ambiguous environment
- Strong stakeholder management skills with the ability to balance platform standards, team needs, and delivery priorities.
Benefits
- Comprehensive benefits and retirement programs
- Performance incentives
- Continuing Education Programs
- Other perks to support your well-being
- Career growth opportunities and product discounts
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