Job Description
How You’ll Contribute
- Design and maintain scalable data-to-AI pipelines covering ingestion transformation feature/prompt engineering model training orchestration deployment and monitoring.
- Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g. revenue uplift cost reduction consumer satisfaction platform efficiency prediction accuracy latency reduction).
- Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
- Establish and enforce AI and machine learning and data operational standards governance and best practices across the organization.
- Deliver actionable data-driven insights and reporting to inform business decisions and evaluate performance across products operations and AI systems.
- Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
- Own the scalability robustness observability optimization and operational excellence of production AI systems and data pipelines.
Strengths That Shine in This Role
- Strong analytical and problem-solving skills with the ability to translate ambiguous business requirements into structured AI and data solutions.
- Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to collaborate effectively across Product Engineering BI and Data teams.
- Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
- Proactive ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
- Professionalism and composure when operating under pressure or resolving production issues.
Skills That Matter in This Role
- Minimum of 3-5 years of designing building and operationalizing end-to-end data and AI systems in production environments
- Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment monitoring and iteration.
- Hands-on experience with LLM-based systems (e.g. RAG architectures prompt engineering model evaluation API integration).
- Strong programming skills in Python & SQL experience writing production-quality code
- Exposure to AWS Bedrock and preferably AWS Sagemaker Cloud based AI/ML services and modern data platforms
- Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
- Strong software engineering fundamentals including experience with CI/CD testing practices and containerization concepts.
Why You’ll Love Working Here
- Thrive in an award-winning innovation-driven culture that champions growth embraces diversity and fosters inclusion for all. See our awards →
- Earn competitive pay with annual performance-based bonuses that recognize your impact
- Invest in your future with our 401(k) plan featuring company matching
- Stay healthy with comprehensive medical dental and vision coverage plus HSA and FSA options
- Recharge with paid vacation and sick days — and a paid day off for your birthday
- Make an impact with two paid volunteer days to give back to your community
- Advance your skills with free access to LinkedIn Learning and our education reimbursement program
- Prioritize your mental health with a free premium Headspace membership
- Stay active with our on-site fitness center
- Refuel at fully stocked refreshment stations with complimentary drinks and snacks
- Enjoy exclusive perks with access to “Tickets at Work” discounts and memberships
Top Skills
What the Team is Saying

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What We Do
KUBRA provides customer experience management solutions to some of the largest utility and government entities across North America. Our portfolio includes billing and payments alerts and preference management artificial intelligence solutions mobile apps and utility mapping solutions. KUBRA reaches over 40% of households in the U.S. and Canada providing performance-driven value to more than 475 clients and their customers.
Why Work With Us
At KUBRA inclusive culture and employee development are prioritized alongside impactful work and social responsibility fostering a fulfilling forward-thinking workplace.
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KUBRA Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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Date Posted
04/06/2026
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