Escalent

Artificial Intelligence

• Support key strategic initiatives in AI, automation, and innovation, with a key role in executing and scaling
• Develop a strong understanding of Escalent group's products, tools, solutions, and technological roadmap
• Link findings and recommendations to desired business impact
• Present findings and recommendations, explaining approach and rationale, to business teams
• Co-develop development, implementation, and scaling plans with tech, development, and product teams
• Use low-code/no-code/vibe-code agent development tools/environments to create tools or agents where applicable
• Craft and co-implement alpha and beta testing plans and internal/external rollout roadmaps
• Alpha test products, features, and agents by stress-testing edge cases
• Organize and administer demos, show-n-tells, and lunch-n-learns for internal and external audiences
• Advise internal teams on effective, efficient, and ethical use of AI, innovation, and automation tools
• Identify relevant third-party AI/innovation tools through desk research and internal outreach
• Liaise with tool vendors to evaluate functionality, use-case fit, and commercial viability
• Partner with Compliance and IT to vet and whitelist tools for testing and trials
• Conceptualize trial programs and secure testing licenses
• Partner with domain, functional, and corporate teams to assess tool effectiveness and value-add
• Stay updated on AI and innovation developments, trends, and product/model launches
• Prepare, maintain, and improve AI-related process, guideline, and protocol documentation
• Author self-learning collateral, tool one-pagers, decision flowcharts, and SharePoint content
• Contribute to AI upskilling initiatives by developing ideas and collateral and administering sessions

Lead Consultant, AI Enablement

• Support key strategic initiatives in AI, automation, and innovation, with a key role in executing and scaling
• Develop understanding of Escalent products, tools, solutions, and technological roadmap to guide AI initiatives, workflows, features, and products
• Link findings and recommendations to desired business impact
• Present findings and recommendations, explaining approach and rationale, to business teams
• Co-develop development, implementation, and scaling plans with tech, development, and product teams
• Use low-code/no-code/vibe-code agent development tools to create tools or agents where applicable
• Craft and co-implement alpha and beta testing plans and internal/external rollout roadmaps
• Alpha-test products, features, and agents by stress-testing edge cases
• Organize demos, show-and-tells, and lunch-and-learns for internal and external audiences
• Advise teams on when and how to use AI effectively, efficiently, and ethically
• Identify AI and innovation tools through desk research and internal outreach
• Liaise with vendors to assess functionality, use-case fit, and commercial viability
• Partner with Compliance and IT to vet and whitelist tools
• Conceptualize trial programs and secure testing licenses
• Partner with domain, functional, and corporate teams to assess tool effectiveness and value
• Monitor AI and innovation developments, trends, and product/model launches
• Prepare and improve AI-related process, guideline, and protocol documentation
• Author self-learning collateral, tool one-pagers, decision flowcharts, and SharePoint content
• Contribute to AI upskilling initiatives by developing collateral and administering sessions