Senior AI Software Engineer

Title: Senior Software Engineer (AI)

100% REMOTE

Note: Hacker rank assessment needed

Job Descriptio

nThe Senior Software Engineer (AI) is a hands on contributor within the Workflow Orchestration Initiative, responsible for building intelligent backend services that enhance enterprise workflow and automation solutions using workflow orchestration platforms such as Appian. This role requires strong Java and enterprise development experience, complemented by Python and AI/ML skills, working closely with Java software engineers on shared platforms and services. This individual will support the Payment BU Workflow Intelligence and Optimization Initiative, contributing to the design and implementation of AI enabled components and backend services that support workflow orchestration and decision automation. Working alongside Java engineers, Staff Engineers, and architects, this role helps deliver scalable, secure, and extensible solutions. Responsibilities: • Design and develop Java based backend services and APIs that integrate with workflow orchestration platforms such as Appian. • Implement AI/ML enabled capabilities (e.g., classification, extraction, recommendations, prediction, decision support) using Python and enterprise AI frameworks. • Collaborate closely with Java software engineers to align AI services with core backend architecture and shared platforms. • Develop and maintain microservices using Java, Spring based frameworks, and established enterprise patterns. • Expose AI capabilities through secure, scalable APIs for consumption by workflow and application services. • Partner with data engineering teams to access, transform, and validate data used in AI use cases. • Support model integration, inference pipelines, monitoring, and performance tuning in production environments. • Contribute to CI/CD pipelines, DevSecOps practices, automated testing, and observability across Java and AI services. • Participate in code reviews, design discussions, and technical collaboration to promote quality and consistency. Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • 5+ years of enterprise software development experience, including backend systems. • Strong proficiency in Java with hands on experience using Spring Boot / Spring Cloud. • Hands on experience with Python for building or integrating AI/ML solutions. • Experience integrating AI/ML models or AI services into enterprise applications. • Strong understanding of RESTful API design, integration patterns, and service security. • Hands on experience with relational databases (PostgreSQL preferred), data modeling, and query optimization. • Familiarity integrating backend services with workflow orchestration platforms such as Appian. • Understanding of agile development practices (SAFe preferred). • Strong communication skills and ability to collaborate across engineering teams. Preferred Qualifications • Experience working on workflow intelligence, decision automation, NLP, or document processing use cases. • Exposure to MLOps practices, model lifecycle management, or cloud based AI platforms. • Prior experience with BPM or workflow orchestration platforms (e.g., Appian, Camunda, JBPM). • Background in Healthcare IT, payment integrity, or regulated environments. • Experience contributing to shared enterprise platforms, AI services, or integration frameworks

.Job Responsibilitie

• sDesign and develop Java‑based backend services and APIs that integrate with workflow orchestration platforms such as Appian
• .Implement AI/ML‑enabled capabilities (e.g., classification, extraction, recommendations, prediction, decision support) using Python and enterprise AI frameworks
• .Collaborate closely with Java software engineers to align AI services with core backend architecture and shared platforms
• .Develop and maintain microservices using Java, Spring‑based frameworks, and established enterprise patterns

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• .Expose AI capabilities through secure, scalable APIs for consumption by workflow and application services
• .Partner with data engineering teams to access, transform, and validate data used in AI use cases
• .Support model integration, inference pipelines, monitoring, and performance tuning in production environments
• .Contribute to CI/CD pipelines, DevSecOps practices, automated testing, and observability across Java and AI services
• .Participate in code reviews, design discussions, and technical collaboration to promote quality and consistency