Job Title - Solution Architect/ AI Solution Engineer
Location- Irvine CA (Onsite)
Contract
Most Important Skills/Responsibilities:
- 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.
Qualifications :
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.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract