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Agentic Ai Jobs in Springfield, IL (NOW HIRING)

Bausch + Lomb

AI Agent ML Engineer

Springfield, IL

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced ... Analyze, map, and document business processes; translate process requirements into agentic ...

General Motors

Senior AI/ML Engineer

Springfield, IL · On-site +1

$103K - $142K/yr

Hands-on experience leveraging AI tools (agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities. * Proficiency ...

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Agentic Ai information

See Springfield, IL salary details

$35

$65

$115

How much do agentic ai jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for agentic ai in Springfield, IL is $65.19, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $99.13 per hour, depending on experience, location, and employer.

How do Agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are Agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.
What job categories do people searching Agentic Ai jobs in Springfield, IL look for? The top searched job categories for Agentic Ai jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Agentic Ai jobs? Cities near Springfield, IL with the most Agentic Ai job openings:
Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Springfield, IL as of June 2026, with employment types broken down into 12% Internship, and 88% Full Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $135,593 per year, or $65.2 per hour.

Domain Managing Architect - Digital

Horace Mann

Springfield, IL

Other

Posted 4 days ago

Job description

IntroductionWe’re motivated by the fact that educators take care of our children’s future, and we believe they deserve someone to look after theirs. We help educators identify their financial goals and develop plans to achieve them. This includes insurance to protect what they have today and financial products to help them prepare for their future.

Overview

The Domain Managing Architect provides strategic architectural leadership across the Digital domains. This role leverages enterprise architecture disciplines, frameworks, and tools to ensure that technology solutions align with the long-term best interests of Horace Mann.

Responsibilities

  • Develop and maintain current, future, and transitional state architectures.
  • Create conceptual, logical, and physical architecture models and diagrams.
  • Formulate and review high-level design documents.
  • Define, document, and govern architectural decisions across programs and projects.
  • Develop and enforce architecture policies, standards, and processes in partnership with the Chief Architect and CIO.
  • Identify and establish new enterprise building blocks and reusable architectural patterns.
  • Establish AI governance frameworks including model risk management, explainability, fairness, and compliance.
  • Lead and approve Enterprise Architecture Assessments. including AI-enabled and cloud migration solutions.
  • Ensure alignment with enterprise standards, security, data, privacy, and responsible AI expectations.
  • Provide best-practice guidance in evaluating and selecting vendor products and technology platforms.
  • Partners with Solution Delivery teams, architects, and technical leads to maintain current, target, and transition architectures.
  • Facilitate consensus across diverse technical and business teams.
  • Lead modernization efforts including legacy rationalization, decommissioning, and adoption of cloud-native and AI-ready platforms.
  • Communicate complex technical concepts clearly to executive and non-technical audiences.
  • Identify and mitigate architecture risks, and technical debt.

Requirements

  • 10+ years of IT experience with 5+ years in architecture leadership roles 
  • Proven experience leading cloud transformation and legacy modernization programs at enterprise scale 
  • Exceptional communication and leadership skills in both technical and business contexts
  • Brings broad cross-domain knowledge spanning enterprise and solution architecture, data platforms, integration, infrastructure, networking, and security to design scalable, secure, and resilient enterprise solutions.
  • Experience working within an Enterprise Architecture framework (e.g., TOGAF).
  • Fluency in modern architecture practices, including cloud-native, microservices, event-driven, and AI-enabled architectures.
  • Proven experience leading legacy modernization and enterprise cloud transformation initiatives across complex technology landscapes.
  • Ability to define and govern enterprise architecture standards, patterns, reference architectures, and technology roadmaps aligned with business strategy.
  • Expertise in creating architecture artifacts and diagrams (e.g., Visio, draw.io).
  • Collaborate with business leaders, IT leadership, and engineering organizations to translate strategic objectives into scalable technology solutions.
  • Experience in risk management and executive-level presentations.
  • Demonstrated ability to lead across organizational boundaries and drive consensus.
  • Experience with digital transformation

Preferred Qualifications
  • Experience in the insurance industry is highly preferred.
  • Experience in the Customer, Distribution and Producer/Agent business domains
  • Experience implementing AI governance frameworks in regulated environments.
  • Exposure to Agentic AI and Generative AI (LLMs, RAG, vector databases) 
  • Certifications in cloud platforms (e.g., Azure Solutions Architect, AWS SA).

Apply