Allspring Global Investments is promoting responsible integration of Generative and Agentic AI within the organization. They are seeking an AI Enablement Specialist to assist in growing AI usage by developing workflows and supporting an internal community. The role involves enabling AI proficiency through training and building practical solutions in collaboration with business teams.

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
• Remain in stationary position for prolonged periods of time
• Operate computer programs and software
• Ability to communicate effectively with audiences in person and in electronic formats
• Day-to-day contact with others (co-workers and/or public)
• Ability to work in a collaborative business environment in close quarters with peers and varying interruptions
• 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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