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Job Role - Java Solution Architect
Location - Charlotte NC / Irving TX
We are looking for a JAVA Architect to design and implement AI-driven cyber governance capabilities that augment Identity and Access Management systems. The role focuses on building AI-enabled decision engines, risk scoring, and automation frameworks integrated into We are seeking a Java Architect to lead the design and implementation of AI-driven cyber governance and decision automation platforms. The role focuses on building scalable, policy-aware, and explainable AI-enabled systems integrated into enterprise Identity and Cyber Security ecosystems. The architect will define solution architecture, guardrails, and integration patterns while guiding engineering teams through delivery.
Key Responsibilities
Define end-to-end architecture for AI-enabled cyber governance platforms.
Design Java-based microservices to integrate AI/ML models into cyber workflows.
Architect decision engines for access approvals, risk scoring, anomaly detection, and certification recommendations.
Define human-in-the-loop workflows for high-risk cyber decisions.
Establish explainability, confidence scoring, and auditability frameworks for AI decisions.
Design integration patterns with IAM, certification, logging, and monitoring systems.
Ensure solutions comply with security, compliance, and regulatory standards.
Guide teams on secure coding, scalability, and resiliency best practices.
Partner with data, AI, and cyber stakeholders to align technical and business objectives.
Support PoCs, architecture reviews, and production rollout strategies.
Core Java & Architecture
Strong expertise in Java (Spring Boot, Microservices)
Distributed systems and event-driven architectures
REST and asynchronous API design
Data modeling with Postgres / relational databases
Caching, messaging, and workflow orchestration patterns
AI-Integration (Applied Architecture)
Experience integrating AI/ML models via APIs or services
Understanding of risk scoring, classification, confidence thresholds
Explainability and traceability concepts for AI decisions
Policy-driven decision automation (rules AI hybrid models)
Cyber & IAM Domain
Strong understanding of IAM, access governance, and cyber controls
Familiarity with access certifications, RBAC/ABAC, and JML lifecycle
Secure-by-design and zero-trust architecture principles
Cloud & DevOps
Cloud-native architecture (OCP)
CI/CD, containerization, and infrastructure awareness
Observability, logging, and monitoring for cyber platforms
Core Java & Architecture
Strong expertise in Java (Spring Boot, Microservices)
Distributed systems and event-driven architectures
REST and asynchronous API design
Data modeling with Postgres / relational databases
Caching, messaging, and workflow orchestration patterns
AI-Integration (Applied Architecture)
Experience integrating AI/ML models via APIs or services
Understanding of risk scoring, classification, confidence thresholds
Explainability and traceability concepts for AI decisions
Policy-driven decision automation (rules AI hybrid models)
Cyber & IAM Domain
Strong understanding of IAM, access governance, and cyber controls
Familiarity with access certifications, RBAC/ABAC, and JML lifecycle
Secure-by-design and zero-trust architecture principles
Cloud & DevOps
Cloud-native architecture (OCP)
CI/CD, containerization, and infrastructure awareness
Observability, logging, and monitoring for cyber platforms
<>About Mphasis:
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Job Role - Java Solution Architect
Location - Charlotte NC / Irving TX
We are looking for a JAVA Architect to design and implement AI-driven cyber governance capabilities that augment Identity and Access Management systems. The role focuses on building AI-enabled decision engines, risk scoring, and automation frameworks integrated into We are seeking a Java Architect to lead the design and implementation of AI-driven cyber governance and decision automation platforms. The role focuses on building scalable, policy-aware, and explainable AI-enabled systems integrated into enterprise Identity and Cyber Security ecosystems. The architect will define solution architecture, guardrails, and integration patterns while guiding engineering teams through delivery.
Key Responsibilities
Define end-to-end architecture for AI-enabled cyber governance platforms.
Design Java-based microservices to integrate AI/ML models into cyber workflows.
Architect decision engines for access approvals, risk scoring, anomaly detection, and certification recommendations.
Define human-in-the-loop workflows for high-risk cyber decisions.
Establish explainability, confidence scoring, and auditability frameworks for AI decisions.
Design integration patterns with IAM, certification, logging, and monitoring systems.
Ensure solutions comply with security, compliance, and regulatory standards.
Guide teams on secure coding, scalability, and resiliency best practices.
Partner with data, AI, and cyber stakeholders to align technical and business objectives.
Support PoCs, architecture reviews, and production rollout strategies.
Core Java & Architecture
Strong expertise in Java (Spring Boot, Microservices)
Distributed systems and event-driven architectures
REST and asynchronous API design
Data modeling with Postgres / relational databases
Caching, messaging, and workflow orchestration patterns
AI-Integration (Applied Architecture)
Experience integrating AI/ML models via APIs or services
Understanding of risk scoring, classification, confidence thresholds
Explainability and traceability concepts for AI decisions
Policy-driven decision automation (rules AI hybrid models)
Cyber & IAM Domain
Strong understanding of IAM, access governance, and cyber controls
Familiarity with access certifications, RBAC/ABAC, and JML lifecycle
Secure-by-design and zero-trust architecture principles
Cloud & DevOps
Cloud-native architecture (OCP)
CI/CD, containerization, and infrastructure awareness
Observability, logging, and monitoring for cyber platforms
Core Java & Architecture
Strong expertise in Java (Spring Boot, Microservices)
Distributed systems and event-driven architectures
REST and asynchronous API design
Data modeling with Postgres / relational databases
Caching, messaging, and workflow orchestration patterns
AI-Integration (Applied Architecture)
Experience integrating AI/ML models via APIs or services
Understanding of risk scoring, classification, confidence thresholds
Explainability and traceability concepts for AI decisions
Policy-driven decision automation (rules AI hybrid models)
Cyber & IAM Domain
Strong understanding of IAM, access governance, and cyber controls
Familiarity with access certifications, RBAC/ABAC, and JML lifecycle
Secure-by-design and zero-trust architecture principles
Cloud & DevOps
Cloud-native architecture (OCP)
CI/CD, containerization, and infrastructure awareness
Observability, logging, and monitoring for cyber platforms
<>About Mphasis:
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.