Job Description
Role- Solution Architect/ AI Solution Engineer
Location- IRVINE,CA
Most Important Skills/Resposibilities:
- AI Agent Development:
- Atlassian Administration & Integration:
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.
Required Qualifications
- Bachelor’s 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
- Master's 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.
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