Position Description:
This position designs, develops, and implements artificial intelligence solutions, including traditional ML and generative AI, to solve complex business problems and enhance operational efficiency. This position can solve problems with AI, capture and design future state solutions using AI technologies, processes, and practices and can create Machine learning or algorithmic solutions along with knowing where each type of solution would be most applicable
Position Location:
This is a hybrid role working partially in-office (Lincoln, NE) and partially from home.
What you do:
- Design, train, and optimize ML/DS models, implement validation frameworks, and manage data pipelines.
- Build scalable AI infrastructure, implement CI/CD for ML models, monitor production performance, and manage model versioning.
- Design APIs and microservices, integrate AI with existing infrastructure, ensure system scalability, and maintain documentation.
- Deploy and customize LLMs, design RAG systems, develop PoCs for emerging agentic solutions, and optimize inference costs.
- Implement model monitoring, ensure fairness, document model lineage, and manage a model registry.
- Enforce AI security measures, ensure data privacy compliance, monitor model vulnerabilities, and maintain audit trails.
- Collaborate with data scientists, product teams, IT, and business stakeholders, while guiding DevOps on deployment needs.
- Review code and architecture, mentor junior associates, contribute to technical strategy, and evaluate emerging technologies.
- Identify, prioritize, and deliver on targeted business objectives, ensuring solutions meet expected needs with effective training and adoption.
- Define AI/ML best practices, optimize workflows, and drive innovation through research and development.
What you bring:
- Bachelors degree or relevant combination of education and experience required.
- 3-5 years of overall experience required.
- 1 year of experience with Generative AI, small & large language model architectures, computer vision, and reinforcement learning desired.
- Familiarity with cloud platforms (AWS Bedrock or Azure AI services) and open-source solutions (Ollama, Open WebUI, Flowise, etc.) desired.
- A solid understanding of machine learning (ML) and artificial intelligence (AI) workflows and evaluating model accuracies desired.
What we offer:
A meaningful mission. Great benefits. A vibrant culture
Ameritas is an insurance, financial services and employee benefits provider Our purpose is fulfilling life. It means helping all kinds of people, at every age and stage, get more out of life.
At Ameritas, you’ll find energizing work challenges. Flexible hybrid work options. Time for family and community. But dig deeper. Benefits at Ameritas cover things you expect -- and things you don’t:
Ameritas Benefits
For your money:
- 401(k) Retirement Plan with company match and quarterly contribution.
- Tuition Reimbursement and Assistance.
- Incentive Program Bonuses.
- Competitive Pay.
For your time:
- Flexible Hybrid work.
- Thrive Days - Personal time off.
- Paid time off (PTO).
For your health and well-being:
- Health Benefits: Medical, Dental, Vision.
- Health Savings Account (HSA) with employer contribution.
- Well-being programs with financial rewards.
- Employee assistance program (EAP).
For your professional growth:
- Professional development programs.
- Leadership development programs.
- Employee resource groups.
- StrengthsFinder Program.
For your community:
- Matching donations program.
- Paid volunteer time- 8 hours per month.
For your family:
- Generous paid maternity leave and paternity leave.
- Fertility, surrogacy, and adoption assistance.
- Backup child, elder and pet care support.
An Equal Opportunity Employer
Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we’re committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.
