AI Engineer

About the role

Diversified is a global leader in audiovisual and media technology. We design and build innovative spaces and experiences for clients across industries such as corporate, entertainment, sports, retail, and government. Our team partners with organizations around the world to create environments that connect people through technology. At Diversified, you’ll work on exciting and complex projects with opportunities to grow your career. We offer a collaborative and flexible work environment, competitive pay and benefits, and a culture that values diversity, inclusion, and innovation. If you’re ready to grow, create, and make an impact, Diversified is the place to do it. We are seeking an AI Engineer to lead the development and adoption of internal AI-powered solutions that improve employee productivity, automate business processes, and drive innovation. This role will partner with business and technology teams to identify opportunities, define product roadmaps, and deliver AI solutions using tools across the business. This position sits within the internal IT team working alongside the Lead Engineer and Platform team, with direct exposure to the CIO and AI Council.

Responsibilities

• Own the vision, roadmap, and backlog for internal AI products and solutions.
• Lead the implementation of AI, automation, and Generative AI solutions for Enterprise Platforms
• Build agentic workflows, prompt engineering and evaluation pipelines, agent orchestration layer, LLM gateway integration, RAG pipelines and model evaluation and monitoring
• Identify and prioritize AI use cases that deliver measurable business value.
• Partner with the AI Council and business stakeholders to gather requirements and define product features.
• Collaborate with architects, developers, data engineers, and business teams.
• Monitor solution performance, usage, and business outcomes.
• Ensure AI solutions comply with security, privacy, and governance standards.
• Evaluate emerging AI technologies and recommend future capabilities.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or related field.
• 5+ years of experience in technology, product management, business systems, AI, or digital transformation.
• Experience with building Enterprise AI platforms and Agentic workflows
• Strong understanding of Agile methodologies and product ownership practices.
• Excellent stakeholder management and communication skills.

Skills

• AI & Generative AI Solutions
• Agentic workflows and frameworks such as LangChain, LlamaIndex, or similar
• Azure AI Services, Azure OpenAI, Anthropic, and others
• RAG pipelines and Graphs
• Product Ownership & Roadmap Management
• Business Process Automation
• Requirements Gathering