AI Solution Engineer

Job Description

Job Title - Solution Architect/ AI Solution Engineer

Location- Irvine, CA (Onsite)

Contract

Most Important Skills/Responsibilities:

1. AI Agent Development:
2. 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.

Qualifications

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.

Additional Information

All your information will be kept confidential according to EEO guidelines.