AI Engineer designing and maintaining scalable data - to - AI pipelines for KUBRA's customer communications solutions. Delivering AI - driven solutions that improve operational metrics across products and services.
About the role
- Senior AI Engineer responsible for building and scaling AI capabilities at Elevance Health. Collaborating with multi-disciplinary teams to enhance operational efficiency and technical governance.
Responsibilities
- build and scale reusable AI capabilities across the enterprise
- define the technical foundation for reliable, governed, and scalable AI systems
- operate at the intersection of AI engineering, platform development, and responsible AI governance
- recommend solutions to new and complex problems
- collaborate with a multi-disciplinary team of clinicians, engineers, and researchers
- design and build reusable AI platform capabilities
- develop and operationalize robust pipelines for experimentation, benchmarking, and model comparison
- define and standardize schemas, APIs, and workflows
- improve reliability, reproducibility, and quality through structured experimentation
- partner with cross-functional teams to translate use cases into production-ready, reusable capabilities
- optimize AI systems for performance, scalability, and cost efficiency
- embed Responsible AI principles by implementing governance, evaluation standards, and audit-ready processes
Requirements
- Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 6 or more years of experience
- Experience with Python, APIs and distributed systems
- Experience with ML/LLM pipelines and evaluation techniques preferred
- Experience with productionizing AI systems (monitoring, logging, scaling) preferred
- Experience designing reusable frameworks or platform capabilities
- Familiarity with Responsible AI, model evaluation, and governance practices
- Knowledge of: Document Intelligence (OCR, NLP, structured extraction)
- Exposure to platform engineering and familiarity with modern AI workflows and multi model systems preferred.
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI Engineer developing advanced AI and computer vision systems for industrial automation at Synergeticon. Leveraging cutting - edge research to create production - ready solutions.
AI Engineer designing and delivering GenAI solutions at RebelDot. Collaborating across teams to build reliable systems and improve client AI offerings.
Senior Lead AI Engineer delivering advanced AI solutions at Capital One. Collaborating with cross - functional teams to innovate banking experiences using AI and machine learning.
Senior AI Engineer at Contour Software designing GenAI systems for diverse enterprise solutions. Responsible for AI platform architecture, production - ready systems, and LLM orchestration layers.
AI Platform Lead at Pax8 shaping AI tools and workflows. Design and own platform layer for usability, trust, and scalability.
PwC AI Engineer - Senior Manager designing and implementing AI solutions. Leading data science teams and managing client relationships in innovative projects.
AI Engineer leveraging extensive AI research and engineering skills for scalable banking solutions. Focused mainly on deploying AI/ML systems and staying current with cutting - edge technologies.
Senior AI Engineer building and deploying AI/ML solutions in production for a consulting firm. Collaborating with engineering and product teams to deliver scalable AI systems and stay updated on AI advancements.
AI Engineer in Bangalore driving innovation in Generative AI with expertise in RAG pipelines and Frontier Models.