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)
Company Overview
- Allspring Global Investments is a provider of financial services. It was founded in 1980, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.allspringglobal.com.