Solutions Architect
Solutions Architect
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Job Description
We are seeking a highly skilled and experienced AI Solution Engineer with a specialized focus on building and deploying AI agents within our ROVO platform coupled with extensive expertise in Atlassian Administration. In this critical role you will be instrumental in designing developing and optimizing AI agents that streamline operations enhance user experiences and provide intelligent automation across our enterprise systems. Your deep knowledge of Atlassian products will be essential for managing and optimizing our development and collaboration toolchain ensuring seamless integration and efficient workflows for our AI initiatives.
Key Responsibilities
AI Agent Development:
Design develop test and deploy robust and scalable AI agents and solutions primarily within the ROVO platform.
Collaborate with product managers data scientists and other engineers to translate business requirements into technical specifications for AI agent functionality.
Implement natural language processing (NLP) machine learning (ML) models and other AI techniques to enhance agent intelligence and performance.
Monitor debug and optimize AI agent performance ensuring high availability and accuracy.
Stay current with the latest advancements in AI machine learning and agent technologies particularly those relevant to ROVO.
Atlassian Administration & Integration:
Serve as a primary administrator and subject matter expert for our Atlassian suite including Jira Software Confluence Bitbucket Jira Service Management and associated plugins/integrations.
Configure maintain and troubleshoot Atlassian applications ensuring optimal performance security and user experience.
Develop and implement custom workflows schemes screens and permissions within Jira to support various project methodologies (Agile Scrum Kanban) and AI development cycles.
Manage user access groups and permissions across all Atlassian products.
Integrate Atlassian tools with other internal systems (e.g. CI/CD pipelines monitoring tools) to create cohesive and automated development environments for AI projects.
Provide expert support and training to teams on best practices for using Atlassian tools to manage AI development and operations.
Plan and execute upgrades migrations and instance consolidations for Atlassian products.
Solution Engineering & Support:
Act as a bridge between technical teams and business stakeholders articulating complex AI concepts and Atlassian capabilities clearly.
Provide technical guidance and support for the adoption and effective use of AI solutions and Atlassian tools.
Contribute to documentation best practices and knowledge sharing within the engineering team.
Identify opportunities for process improvement and automation using AI and Atlassian capabilities.
Requirements
Required Qualifications
Bachelors degree in Computer Science Artificial Intelligence Software Engineering or a related technical field or equivalent practical experience.
3 years of experience in developing deploying and maintaining AI agents chatbots or intelligent automation solutions.
Proven hands-on experience building AI agents in the ROVO platform (or similar proprietary/enterprise AI agent development platforms).
5 years of demonstrable experience as an Atlassian Administrator with in-depth knowledge of Jira Software Confluence and Bitbucket.
Strong proficiency in scripting and programming languages such as Python Java or JavaScript.
Experience with REST APIs and integrating different software systems.
Solid understanding of database concepts (SQL/NoSQL) and data integration.
Excellent problem-solving skills with an ability to diagnose and resolve complex technical issues.
Strong communication and interpersonal skills capable of working effectively with diverse teams and stakeholders.
Preferred Qualifications
Masters degree in AI ML or a related field.
Certifications in Atlassian products (e.g. Jira Administrator Confluence Administrator).
Experience with cloud platforms (AWS Azure GCP) and MLOps practices.
Familiarity with containerization technologies (Docker Kubernetes).
Experience with other AI frameworks libraries (e.g. TensorFlow PyTorch) or agent development tools.
Knowledge of agile methodologies and DevOps practices.
Representing the Controls System (Controllers and SW) vs the Propulsion System Community as primary interface.
Education
Bachelor/Master of Science in Mechanical Engineering or Electrical Engineering.
Employment Type
Full Time
