AI Enablement Specialist

Allspring Global Investments; Milwaukee (WI); On-site; USD 125,000 - 150,000; Full time

Job summary

Allspring Global Investments seeks an AI Enablement Specialist to grow GenAI usage by delivering enablement, building repeatable workflows, and supporting a vibrant internal community of practice. You will split time between training AI Champions and building practical GenAI solutions, including prompt packs and lightweight agents, with a junior-level pathway for growth.

Hybrid in-office role – four days per week in Milwaukee, WI.

Qualifications

• Bachelor’s degree or equivalent experience in CS/IS/Business/Analytics or related field.
• 1–3 years in GenAI solution support, workflow building, training, or analytics.
• Practical GenAI tools and LLM experience with iterative prompting and evaluation.
• Experience with agent patterns, orchestration, RAG/grounding, and MCP for tool/data connections.
• Strong written and verbal communication; ability to explain AI to non-technical audiences.
• Ability to breakdown business processes into steps and design practical workflows with guardrails.
• Comfort with low-code tooling and simple scripting to build demos.
• Familiarity with Microsoft productivity environments and Copilot apps is a plus.
• Understanding of responsible AI principles and data privacy; knowledge of financial services terminology is a plus.

Responsibilities

• Collaborate with AI Champions to understand workflows and opportunities for GenAI and agentic AI.
• Develop and refine department-specific AI solutions (copilots, prompt packs, lightweight agents).
• Create and maintain enablement materials (quick-start guides, demos, templates).
• Run hands-on sessions for Champions and end users (training, workshops, labs).
• Create repeatable playbooks for patterns like summarization, drafting, analysis, and retrieval.
• Develop and test GenAI-enabled workflows and lightweight agents using no-code/low-code or simple scripting.
• Test AI outputs for accuracy, usefulness, and policy alignment; iteratively improve prompts and workflows.
• Maintain shared assets (prompt libraries, templates) for cross-department adoption.
• Partner with engineers/product teams to move pilots into supported solutions.
• Support Microsoft-centric workflows (Copilot experiences) and translate capabilities into practical guidance.
• Track adoption signals and iterate enablement assets accordingly.
• Stay current on AI/best practices and share takeaways with Champions.

Skills

GenAI basics

Communication

Workflow design

Low-code tools

Team collaboration

Education

Bachelor's degree in CS/IS/Business/Analytics

Tools

Python

Power Platform

Copilot

Job description

Overview

Allspring is promoting responsible integration of Generative and Agentic AI across the organization. We are seeking an AI Enablement Specialist, reporting to the Head of AI Product Management, to grow everyday, department-specific AI usage by delivering enablement, developing repeatable workflows, and supporting a vibrant internal community of practice. In this role, you will spend roughly half your time enabling AI proficiency through our AI Champions network—training, office hours, playbooks, and communications—and the other half building and refining practical GenAI and agent-enabled solutions, including workflow creation, prompt packs, lightweight agent prototypes, and evaluation. This is a junior-level position well suited to someone with strong GenAI skills, a builder's outlook, and the communication and teaching skills to help others succeed.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.

Location(s): Milwaukee, WI

Responsibilities

• Collaborate with the AI Champions network and business functions to understand workflows, pain points, and opportunities for Generative and Agentic AI.
• Develop and refine department-specific AI solutions (e.g., copilots, prompt packs, and lightweight agents) that boost 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 (prompt 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 productivity workflows where applicable (e.g., Copilot experiences and related tooling) and translate capabilities into practical “how to use it” guidance.
• Track adoption signals and feedback and iterate the enablement approach and assets accordingly.
• Stay current on AI and agentic best practices and share practical takeaways with Champions and partners in clear, business-friendly language.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Information Science, Business, Analytics, or a related field; equivalent experience may be considered.
• 1-3 years of experience in one or more of the following 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) for connecting 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 help, 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 productivity environments; familiarity with Copilot applications and modern 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.

Preferred Qualifications

• 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 documenting business processes and translating them into repeatable templates, checklists, and standard operating procedures.
• Exposure to change management and instructional design (adult learning principles, microlearning, or curriculum development).
• Experience partnering with engineers/product teams to pilot solutions, gather feedback, iterate prompts, workflows, and guardrails.

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.

Compensation

Base Pay Range: $125,000 - $150,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

Disclosure

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status