• Collaborate with engineering teams on the design and implementation of solutions using LLM's • Develop, refine, and optimize prompts to ensure the highest quality and accuracy from AI models • Collaborate with product and engineering teams to integrate AI/ML models and services into our core products • Act as an AI generalist, empowering our internal teams to use AI tooling effectively • Work in a highly collaborative environment with the product and data team to explore new AI technologies • Utilize cloud platforms, particularly AWS AI services, to build, deploy, and manage AI-powered features.

• Design, develop, and deploy LLM-powered applications • Lead the definition, development, and delivery of machine learning models • Lead the testing, deployment, and ongoing maintenance of AI systems • Optimize AI systems for performance, scalability, latency, and cost • Partner with data and engineering leads to architect AI-powered systems • Establish evaluation frameworks, monitoring, and observability

• Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue • Develop Python-based solutions leveraging libraries like NumPy, Pandas, Scikit-learn, and others for data processing and automation • Build and manage Terraform modules for automated provisioning, environment resets, and decommissioning • Integrate AWS GenAI services (Bedrock, SageMaker) for real-time demo enrichment and scenario automation • Collaborate with Demo COE and Product SMEs to design and implement custom demo flows • Implement RBAC, feature toggles, and configuration management using AWS Systems Manager and AppConfig • Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, ALB, X-Ray) • Support automated QA gates, metrics collection, and post-demo knowledge management • Provide secondary support for data engineering tasks (AWS Glue, Redshift, Athena) for ingestion and transformation • Contribute to hybrid cloud demos and integrations with Azure as needed

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The AI Operations Analyst at Perforce will be responsible for optimization of the internal tools across the organization. This role will focus on leveraging automation and artificial intelligence to streamline processes, enhance efficiency, and enable scalable growth. You will bring experience in process mapping, a strong grasp of industry trends, and a proven ability to develop system improvements across large-scale teams and environments. - Optimization: Analyze cross-functional processes to identify opportunities for improvement through automation and AI-driven solutions. Provide direction to ensure long-term scalability, maintainability, and security of systems. - Project Leadership: Lead internal AI initiatives, ensuring successful integration into existing systems and workflows. Evaluate and recommend emerging technologies, fostering innovation and competitive differentiation. - Business Practice Scalability: Create central knowledge base for all AI to ensure no duplication and business debt. Solutions are scalable, secure, and efficient to support global operations and future growth. Guide critical decisions for high-impact projects and resolve cross-domain challenges. - Stakeholder Engagement: Work with cross-functional teams to ensure adoption and maximize the impact of implemented solutions. This role bridges the gap between technical teams, business stakeholders, and operations, ensuring the successful execution of AI-driven projects that enhance efficiency, forecasting, automation, and decision-making. - Organizational Readiness: Curate role personas and partner across the enterprise to build AI learning opportunities & showcase use cases. Lead organizational change management. Lead organizational learning initiatives to upskill the enterprise. Enable organization in all things AI. Collaborate with developers, data engineers, and data scientists to deliver project execution goals. - Measurement: Validate optimization and cost savings across the enterprise through implementation and adoption of automation and artificial intelligence. Ensure existing or proposed AI technologies meet measurement goals and will deliver value to the business. - Industry Trends: Keep the corporation abreast of trends in AI and opportunities to create optimization. Bring awareness to the advancements and the long-term direction of these AI technologies in balance with their current state existing capabilities. Qualifications - BS Computer Science, Software Engineering, or related field. - Background in developing AI programs and driving adoption across enterprise platforms such as Microsoft Copilot, Salesforce Agent Force, Gong and related AI tools. - Strong understanding of data models, objects, workflows, and reporting capabilities. - Experience with requirement gathering, process documentation, and translating business needs into technical specifications. - Demonstrated ability to map processes and influence simplification leveraging automation and AI. Hands-on experience creating proof of concepts. - Demonstrated ability to lead through influence in a complex organizational structure and communicate effectively with stakeholders. - Strong track record of driving technical strategy, standards, and cross-functional alignment at scale. - Passion for mentoring, thought leadership, and advancing excellence across the company. - Able to demonstrate leveraging AI effectively and ethically. Requirements - $109,850 - $157,900 a year Benefits - Medical, dental, vision, retirement benefits - Life insurance - Wellness programs - Total time off - Other employee perks that may be offered by Perforce from time to time