AI Enablement Specialist

Allspring Global Investments is promoting responsible integration of Generative and Agentic AI within the organization. The AI Enablement Specialist will assist in growing everyday, department-specific AI usage by offering enablement, developing repeatable workflows, and supporting a vibrant internal community of practice.

Responsibilities

• Collaborate with the AI Champions network and business functions to understand workflows, difficulties, and opportunities for Generative and Agentic AI
• Develop and refine department-specific AI solutions (e.g., copilots, prompt packs, and lightweight agents) that boost timely performance while meeting security and compliance expectations
• Build and maintain enablement materials (quick-start guides, office hours content, demos, FAQs, and templates) that help teams build confidence and good habits with AI
• Facilitate hands-on sessions for Champions and end users (training, workshops, and “build with me” labs) to reinforce responsible prompting and workflow development
• Develop repeatable playbooks for common patterns (summarization, drafting, analysis, retrieval/grounding, and agentic task flows) and help Champions adapt them to their teams
• Develop and test GenAI-enabled workflows and lightweight agents (no-code/low-code and/or basic scripting as appropriate), recording assumptions, limitations, and success criteria
• Test and evaluate AI outputs for accuracy, usefulness, consistency, and policy alignment; build lightweight test sets, capture failure modes, and recommend improvements to prompts, grounding, and workflow/agent design
• Help build and maintain shared assets (timely libraries, workflow templates and standards) to accelerate consistent adoption across departments
• Partner with appropriate collaborators to move successful pilots into supported solutions (requirements, handoffs, documentation, and ongoing iteration)
• Support Microsoft-centric efficiency workflows where applicable (e.g., Copilot experiences and related tooling) and translate capabilities into practical “how to use it” mentorship
• Track adoption signals and feedback and iterate the enablement approach and assets accordingly
• Stay current on GenAI and agentic guidelines and share practical takeaways with Champions and partners in clear, business-friendly language

Skills

• Bachelor's degree in Computer Science, Information Science, Business, Analytics, or related field; equivalent experience may be considered
• 1-3 years of experience in one or more of these areas: GenAI solution support, building workflows, business process improvement, training, or analytics
• Practical experience with Generative AI tools and large language models, including iterative prompting, structured outputs, and basic evaluation of output quality
• Experience with agent patterns and tooling (e.g., tool/function calling concepts, orchestration, RAG/grounding, and basic evaluation approaches), including MCP (Model Context Protocol) features for linking models to tools and data sources
• Strong communication skills (written and verbal) with the ability to explain AI concepts to non-technical audiences and build clear job aids and documentation
• Ability to break down business processes into steps, identify where AI solutions may benefit, and build practical workflows with appropriate guardrails
• Comfortable designing workflow automations and agentic processes through low-code tools and/or simple scripting; capable of turning concepts into a functional demo
• Comfortable working within Microsoft efficiency environments; familiarity with Copilot applications and contemporary collaboration tools is a plus
• Understanding of responsible AI principles, data privacy, and the requirements of regulated settings; knowledge of financial services / asset management terminology is a plus
• Experience supporting AI adoption programs (champion networks, communities of practice, office hours, internal comms, or learning series)
• Exposure to Python and/or workflow automation platforms (e.g., Power Platform) for rapid prototyping and experimentation
• Experience with enterprise GenAI assistants and modes (e.g., Enterprise ChatGPT, Claude, Claude Cowork, Claude Code)
• Experience with Microsoft's AI ecosystem (e.g., Copilot experiences, Teams/SharePoint/Office workflows) and ways to integrate AI into everyday tasks
• Experience detailing business processes and translating them into repeatable templates, checklists, and standard operating procedures
• Exposure to change management and instructional building (adult learning principles, microlearning, or curriculum development)
• Experience partnering with engineers/product teams to pilot solutions, gather feedback, and iterate prompts, workflows, and guardrails

Benefits

• Participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans)

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