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Assistant Ai Agent Developer Jobs in Iowa (NOW HIRING)

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 ...

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 ...

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 ...

... 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 ...

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Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an assistant AI agent developer?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an assistant AI agent developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an assistant AI agent developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
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 Assistant Ai Agent Developer jobs in Iowa? For Assistant Ai Agent Developer jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Assistant Ai Agent Developer jobs? Cities in Iowa with the most Assistant Ai Agent Developer job openings:

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Berkley Technology Services (BTS) is a dynamic company committed to providing world class IT services. They are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture and platform strategy for Generative and Agentic AI capabilities across the organization.
Responsibilities:
• 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.
• 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.
• 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.
• 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
• 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.
• 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:
Required:
• 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.
• 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.
• 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.
• 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:
• Experience in commercial or specialty insurance, financial services, or other regulated industries is strongly preferred.
• 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.
Company:
Berkley Technology Services offers networking, software development, UI/UX design, project management and IT shared services. Founded in 2001, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.