Artificial Intelligence/Machine Learning Engineer II

Socket.dev; Des Moines (IA); On-site; USD 100,000 - 140,000; Full time

Job summary

American Equity Investment Life Insurance Company seeks an AI/ML Engineer II to develop, deploy, and support production ML/AI solutions. You will collaborate with data scientists, software/data engineers, and business stakeholders to translate prototypes into reliable, scalable applications.

You will build pipelines, implement MLOps, and develop modular Python services and APIs while applying governance and security standards throughout the lifecycle.

Qualifications

• Bachelor’s degree in computer science, software engineering, data science, statistics, mathematics, information technology, or a related field.
• Plus four (4) or more years of progressively responsible related experience in machine learning engineering, software engineering, data engineering, or a related discipline.
• A postgraduate degree may substitute for a portion of the experience requirement.

Responsibilities

• Translate ML prototypes and analytical solutions into scalable production software.
• Develop, deploy, monitor, and support ML models and data pipelines.
• Design modular Python applications, services, and APIs for ML/AI use cases.
• Apply MLOps practices: source control, CI/CD, testing, documentation, model versioning, monitoring.
• Develop AI-enabled applications including retrieval-augmented generation and enterprise search.

Skills

Python

SQL

MLOps

APIs

CI/CD

Testing

Security & Governance

Education

Bachelor’s degree in CS/Software Eng/Data Science

4+ years related experience

Tools

AWS SageMaker

Azure Machine Learning

Snowflake

Redshift

BigQuery

Snowflake Cortex

AWS Bedrock

Salesforce Agentforce

Microsoft Copilot Studio

Anthropic Claude

Job description

American Equity Investment Life Insurance Company is a leading provider of annuity solutions designed to help clients protect and grow retirement income. Part of Brookfield Wealth Solutions, we partner with more than 40,000 financial professionals and help fund over half a million retirements nationwide. Recognized by Newsweek as one of America’s Most Trustworthy Companies and named a Top Workplace in Iowa, American Equity fosters a collaborative and purpose-driven culture where employees are empowered to ignite their passion and help shape the future of financial services.

Headquartered in Des Moines, Iowa, with satellite offices in New York, NY, American Equity provides opportunities for employees to support work across the enterprise, including our sister company, American National, headquartered in Houston, Texas.

GENERAL PURPOSE OF THE JOB

The Artificial Intelligence/Machine Learning Engineer II develops, deploys, and supports production machine learning and AI-enabled solutions. This role partners with data scientists, software engineers, data engineers, architects, and business stakeholders to translate analytical prototypes and business requirements into reliable, scalable, and maintainable applications.

Responsibilities include developing production machine learning pipelines, implementing MLOps practices, building software and APIs, and supporting emerging AI use cases such as retrieval-augmented generation and agent-based solutions. The Machine Learning Engineer II applies established engineering, security, governance, and responsible AI standards throughout the development lifecycle.

Position sits in Des Moines and will work an onsite schedule

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Partners with data scientists to translate machine learning prototypes and analytical solutions into tested, scalable, and maintainable production software.
• Develops, deploys, monitors, and supports machine learning models, data pipelines, and feature pipelines using cloud-based platforms such as AWS SageMaker and Snowflake.
• Designs and develops modular, reusable, and maintainable Python applications, services, and APIs that support machine learning and AI use cases.
• Applies software engineering and MLOps practices, including source control, code review, automated testing, documentation, CI/CD, model versioning, and production monitoring.
• Develops and supports AI-enabled applications, including retrieval-augmented generation, enterprise search, and agent-based workflows.
• Configures and develops AI agents and workflows using approved platforms such as Salesforce Agentforce, Microsoft Copilot Studio, AWS Bedrock, Anthropic Claude, Snowflake Cortex, or similar technologies.
• Integrates machine learning and AI solutions with approved enterprise data sources, APIs, applications, and business systems.
• Tests and evaluates machine learning and AI solutions for quality, reliability, performance, security, grounding, and appropriate handling of unsupported responses.
• Applies established architecture, security, privacy, governance, observability, and responsible AI standards.
• Collaborates with data science, software engineering, data engineering, architecture, security, DevOps, and business teams to deliver production solutions.
• Troubleshoots production issues involving data, pipelines, applications, integrations, machine learning models, and AI-enabled solutions.
• Stays current on relevant developments and best practices in software engineering, machine learning, MLOps, and AI engineering.
• Performs other related duties as assigned.

SUPERVISORY RESPONSIBILITIES

Direct Reports: None

General Description of Indirect Reports (2 and 3-downs): None

EDUCATION AND/OR EXPERIENCE

Bachelor’s degree in computer science, software engineering, data science, statistics, mathematics, information technology, or a related field; plus four (4) or more years of progressively responsible related experience in machine learning engineering, software engineering, data engineering, or a related discipline; or an equivalent combination of education and experience. A postgraduate degree may substitute for a portion of the experience requirement under appropriate circumstances.

REQUIRED EXPERIENCE

• Experience developing and deploying production machine learning or data-driven applications.
• Demonstrated experience developing software in Python.
• Experience with cloud-based machine learning platforms such as AWS SageMaker, Azure Machine Learning, or similar platforms.
• Experience with cloud data platforms such as Snowflake, Redshift, BigQuery, or similar technologies.
• Experience with SQL, APIs, automated testing, version control, and CI/CD.
• Experience supporting production applications, pipelines, or machine learning solutions.

PREFERRED EXPERIENCE

• Experience building generative AI applications, RAG pipelines, enterprise search solutions, or AI agents.
• Experience with AWS Bedrock, Salesforce Agentforce, Microsoft Copilot Studio, Anthropic Claude, Snowflake Cortex, or similar platforms.
• Experience with containers and cloud deployment technologies.
• Experience implementing monitoring, observability, or evaluation for machine learning or AI applications.

CERTIFICATES, LICENSES, PROFESSIONAL DESIGNATIONS

N/A

KNOWLEDGE, SKILLS AND ABILITIES

• Proficient Python software development skills, including modular design, testing, debugging, and dependency management.
• Strong SQL skills and working knowledge of machine learning concepts, common Python-based ML libraries, and MLOps practices.
• Understanding of application architecture, cloud development, authentication, logging, monitoring, and error handling.
• Familiarity with generative AI concepts, including large language models, prompting, embeddings, retrieval-augmented generation, agents, and grounding.
• Familiarity with AI development platforms such as AWS Bedrock, Salesforce Agentforce, Microsoft Copilot Studio, Anthropic Claude, Snowflake Cortex, or similar technologies.
• Ability to assess and improve the quality of AI application outputs through testing and established evaluation practices.
• Understanding of AI security, privacy, responsible AI, and data governance principles.
• Ability to learn and apply emerging technologies within defined architectural and governance standards.

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This description covers the major purpose and essential functions of the job. It is not intended to give all details or a step-by-step account of the way each task is to be performed. Employees may receive other job related instructions and be required to perform other job related work requested by their manager. All requirements are subject to possible modification to provide reasonable accommodation to qualified individuals with disabilities

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At American Equity, our core values—Empowered, Passion, Integrity, and Caring—are more than words. They guide how we support one another and how we serve our clients every day. To learn more about American Equity, our culture, and our values, visit the Careers site.

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