Senior Engineer (Data and AI) -Remote

The Emerging and Strategic Solutions ART is seeking a Senior Engineer specializing in Data and AI to transform our business through the design, development, and deployment of advanced AI applications. This role combines deep expertise in AI, MLOps, and data engineering with strong business acumen to deliver reliable, scalable, and ethical AI solutions.

You’ll collaborate closely with operational teams, foster cross-functional partnerships, and lead the development of innovative solutions using state-of-the-art technologies. Your background in AWS, infrastructure security, and CI/CD pipelines will be critical to our success. This is an ideal role for a proactive problem solver who thrives in ambiguity, champions continuous improvement, and wants to make a significant impact in a dynamic, enterprise environment.

WHAT WE CAN OFFER YOU:

• Estimated Salary:  $125,000 - $145,000, plus annual bonus opportunity.
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment. 

WHAT YOU'LL DO:

• Lead the design, development, and deployment of Generative AI and LLM applications.
  Immerse yourself in operational needs, build empathy for business challenges, and apply engineering best practices to deliver robust, reliable AI solutions.
• Drive the end-to-end lifecycle of AI/ML projects.
  From ideation and experimentation through production deployment, use prompt engineering, data versioning, systematic experimentation, and A/B testing to optimize performance.
• Develop and maintain secure, scalable infrastructure on AWS.
  Focus on cloud resource management, cost optimization, and compliance. Prioritize security and fairness throughout the development and deployment process to protect our customers and uphold ethical standards.
• Collaborate on systems design and integration.
  Ensure seamless interoperability between AI systems and both modern and legacy front-end/back-end platforms. Maintain CI/CD pipelines and automated testing frameworks to support continuous delivery and operational reliability.
• Partner with business and technical stakeholders.
  Identify high-impact use cases for generative AI in underwriting, customer service, claims, and risk modeling, ensuring alignment with strategic goals.
• Implement and promote MLOps best practices.
  Enable reproducibility, scalability, and model governance throughout the development lifecycle.
• Lead delivery using agile methodologies.
  Incorporate continuous feedback and foster a culture of experimentation and iterative improvement. Own your solutions from prototype through production.
• Stay informed about emerging trends.
  Apply new developments in Generative AI, cloud-native technologies, model governance, and responsible AI to deliver long-term business value. 

WHAT YOU’LL BRING:

• At least 5 years deploying and supporting applications in enterprise environments, with several years integrating AI and MLOps into those applications.
• Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, API Gateway, and infrastructure as code (CDK).
• Extensive experience applying data engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
• Experienced in data science, machine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.
• Experienced in Data pipeline development (database technologies) with expertise in skillsets like Python, TypeScript, git, SQL, CI/CD pipeline and automated testing best practices.
• Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments.

PREFERRED:

• Bachelor’s degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience.
• Product and industry knowledge.
• Advanced degree in an analytical field.
• Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.
• Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

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