ZipRecruiter

Log In

1

Ai Agent Developer Jobs in Iowa (NOW HIRING)

Berkley

AI Technology Leader

Urbandale, IA · On-site

Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective. * Familiarity with ...

Pwc

ERP AI Engineer - Senior Associate

Des Moines, IA · On-site

$77K - $202K/yr

... agent frameworks and agentic AI patterns - Proficiency with Docker, Kubernetes, and cloud-native architectures - Experience with CI/CD for ML systems and model monitoring - Experience with vector ...

Bespoke Labs

Machine Learning Engineer

Clinton, IA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Machine Learning Engineer

Des Moines, IA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

previous page

Showing results 41-60

All JobsAi Agent Developer JobsAi Agent Developer Jobs in Iowa

Ai Agent Developer information

See Iowa salary details

$27.2K

$45K

$93.5K

How much do ai agent developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai agent developer in Iowa is $45,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $47,900.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Iowa? The most popular types of Ai Agent Developer jobs in Iowa are:
What are popular job titles related to Ai Agent Developer jobs in Iowa? For Ai Agent Developer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Iowa look for? The top searched job categories for Ai Agent Developer jobs in Iowa are:
What cities in Iowa are hiring for Ai Agent Developer jobs? Cities in Iowa with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Iowa as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $45,019 per year, or $21.6 per hour.

AI Technology Leader

Berkley

Urbandale, IA • On-site

Other

Re-posted 21 days ago

Job description

Company Details
Company URL: https://www.berkleytechnologyservices.com/
Berkley Technology Services (BTS) is a dynamic company committed to providing world class IT services. We offer a unique culture, enabling our team members to be on the cutting edge of technology while delivering high quality solutions.
We are a $14B commercial and specialty insurance provider delivering innovative, data-driven risk solutions to clients across a wide range of industries. As part of our enterprise transformation, we are investing in next-generation AI technologies to reimagine how we operate, serve customers, and manage risk.
Responsibilities
We are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture, platform strategy, technology standardization and enablement of Generative and Agentic AI capabilities across the organization. This is a leadership role focused on incubating ideas for automation, implementation of those ideas with handful of operating units and working with other applications development and data teams to scale. This role will solely focus on process automation and not predictive model development or data science.
This leader will lead a small, early-stage team of AI engineers and product managers, work in close partnership with the Corporate AI Leader and Chief Data & Analytics Officer, and collaborate across technology, data, and governance functions to deliver scalable, secure, and responsible AI capabilities. The function is in its infancy, offering a unique opportunity to shape foundational capabilities and influence enterprise-wide transformation.
Key Responsibilities
1. Enterprise AI Technology Strategy
  • Define and evolve the enterprise-wide technology strategy for Generative and Agentic AI, aligned with business goals and operational priorities.
  • Partner with the Corporate AI Leader to translate business needs into scalable AI capabilities and reusable platform components.
  • Serve as a strategic advisor to senior leadership on AI platform direction, architectural decisions, and emerging technologies.
2. Platform Architecture & Enablement
  • Lead the design of a modular, secure, and scalable AI architecture that supports generative and agentic AI use cases across underwriting, claims, policy servicing, actuarial, finance, HR, IT and customer engagement.
  • Define reference architectures, reusable components, and integration patterns for AI agents, orchestration frameworks, and LLM-based services.
  • Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities.
3. Team Leadership
  • Lead a small, high-impact team of AI engineers and product managers responsible for building and enabling AI capabilities across the enterprise. Some of these members will work in matrix reporting relationships.
  • Establish foundational practices, delivery models, and team culture as the function matures.
  • Provide strategic direction, coaching, and prioritization to ensure delivery of high-value solutions.
4. AI Ecosystem & Technology Selection
  • Evaluate and recommend enterprise-grade AI platforms, orchestration frameworks (e.g., LangChain, Semantic Kernel), vector databases, and agentic AI toolkits.
  • Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent orchestration) to accelerate delivery and reuse.
  • Stay current with the evolving AI technology landscape and assess applicability to the insurance domain.
  • Ability to review technical and business proposals and guide teams to land on optimal AI solutions
5. Governance & Risk Collaboration
  • Collaborate with the AI Governance team to ensure that AI solutions are designed and deployed in compliance with regulatory, ethical, and risk management standards.
  • Contribute to the development of policies and frameworks for responsible AI, including transparency, explainability, and human oversight.
  • Ensure that technology decisions support auditability, traceability, and model lifecycle management.
  • Discern between Gen AI related risks, operational automation/business risks and evangelize the right adoption framework .
6. Cross-Functional Alignment
  • Partner with enterprise architects, infrastructure teams, and applications teams ensure seamless integration of AI into existing systems and workflows.
  • Partner with Corporate AI Leader to ensure business priorities are reflected in the implementation plans

Qualifications
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field; MBA or equivalent business education is a plus.
  • 12+ years of experience in enterprise technology leadership roles, with at least 3 years focused on AI/automation strategy, architecture, or platform enablement.
  • Experience in commercial or specialty insurance, financial services, or other regulated industries is strongly preferred.
Technology & Domain Expertise
  • Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective.
  • Familiarity with enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI), orchestration frameworks, and cloud-native design.
  • Knowledge of core insurance systems and processes (e.g., Guidewire, Duck Creek, policy admin, claims, underwriting) is a plus although not required.
  • Strong understanding of modern application development frameworks and agile
  • Proficiency in MLOps practices and tools ( CI/CD for ML, containerization, orchestrated model deployment), developing reproducible deployment pipelines) - we'll need someone to define and implement
Leadership & Influence
  • Proven experience leading cross-functional technology teams, including product managers and engineers.
  • Strong ability to influence senior stakeholders and drive enterprise-wide alignment.
  • Excellent communication and storytelling skills to articulate complex AI concepts to both technical and non-technical audiences.
Preferred Qualifications
  • Experience with intelligent automation, digital workers, or AI-driven process orchestration in insurance operations.
  • Familiarity with regulatory frameworks and ethical considerations for AI in financial services (e.g., NYDFS, NAIC, GDPR, AI Act).
  • Participation in industry forums, standards bodies, or AI governance initiatives.
What We Offer
  • A high-impact leadership role at the forefront of AI transformation in a $14B enterprise.
  • Competitive compensation, performance incentives, and executive benefits.
  • A collaborative, innovation-driven culture with strong executive sponsorship for AI.
  • Opportunities to shape the future of insurance through cutting-edge technology.

The company is an equal opportunity employer

Apply