Applied AI Manager: Enterprise AI & Low‑Code Automation

Invenergy

Chicago (IL)

On-site

USD 134,000 - 155,000

Full time

13 days ago

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Benefits offered by this job

Medical insurance

401k plan

Paid time off

Job summary

Invenergy is seeking a Manager, Applied AI to design, build, and deploy low-code AI agents and enterprise AI solutions that deliver measurable business impact across the organization. You will work hands-on with teams to understand their needs, co-develop responsible AI solutions, and enable teams to integrate AI into workflows effectively and responsibly.

This role leads the organization’s strategic AI initiatives, partners with data science and analytics teams, and may manage one or more AI

Qualifications

Bachelor's degree in a technical or quantitative field such as computer science, information systems, engineering, data science, or a related discipline.
8+ years of experience within the industry or in a technology function, with significant achievements and upward growth.
Demonstrated experience designing, building, or managing AI agents or similar AI-driven solutions.
Strong familiarity with the Microsoft ecosystem, including Microsoft 365 and AI-enabled productivity tools.
Prior experience leading, mentoring, or managing direct reports, or demonstrated readiness to step into a people leadership role.
Ability to communicate complex technical concepts clearly to non-technical audiences, including presenting to senior leadership.
Strong independent time-management and project-management skills, with the ability to manage multiple initiatives simultaneously.
Proven ability to collaborate effectively across business, technical, and enablement teams.
High level of curiosity, enthusiasm for emerging technologies, and a continuous-learning mindset.

Responsibilities

Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as multi-agent systems or advanced process automation, in partnership with business teams to address specific organizational needs and use cases.
Lead engagement with business teams in one-on-one and small-group settings to understand workflows, identify AI opportunities, and co-develop effective, responsible solutions.
Maintain deep familiarity with the full range of capabilities, limitations, and evolving features of the organization's enterprise AI platforms to ensure solutions are thoughtfully designed and maximize available functionality.
Oversee the evaluation of third-party AI software applications, assessing organizational fit, capability, security, and responsible AI considerations, and providing recommendations to inform Business Operations decisions.
Monitor and analyze organizational AI usage and adoption data; identify trends, gaps, and opportunities, and recommend targeted actions to improve utilization and impact.
Partner with the Talent Development team to design, deliver, and continuously improve training content and guidelines that help employees use AI tools effectively and responsibly and support self-service adoption across the organization.
Stay current on emerging AI capabilities and platform updates, proactively recommending features and solutions relevant to the organization's evolving needs.
Collaborate with Enterprise Analytics & AI data scientists, data engineers, and analytics teams to align end-user AI solutions with broader AI initiatives.
Manage one or more employees supporting AI adoption functions at the organization.