Senior Java Architect for AI-Driven Enterprise

Mindlance; City of Albany (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Mindlance is seeking a seasoned backend software professional with 6+ years of enterprise experience in Java, microservices, and API design. The role emphasizes leadership in architecture, AI integration, and working within regulated environments to ensure secure, compliant systems.

Ideal candidates will have hands-on experience with GCP services (GKE, Pub/Sub, IAM), data validation across AI services, and strong collaboration with cross-functional teams and vendors.

Qualifications

• 96 months experience in enterprise backend software development and API architecture using Java and microservices.
• 36 months experience in a technical leadership or architecture role on enterprise systems, including code review, technical standards, and cross functional/vendor coordination.
• 24 months experience integrating enterprise applications with AI-enabled services or AI platforms, including validation of data exchanged between AI services and systems of record.
• 24 months experience with GCP cloud-native architectures and services, including one or more of GKE, Pub/Sub, IAM, VPC Service Controls, or secure egress patterns.
• 24 months experience delivering solutions in high-compliance environments such as IRS Publication 1075, CJIS, HIPAA, or comparable regulated environments.
• 24 months experience designing data-integrity, write-back validation, or API security controls for transactional enterprise systems.

Skills

Java

Backend

Microservices

REST APIs

API Design

Code Review

Technical Standards

Cross-functional

Vendor Coordination

AI Integration

AI Platforms

GCP

GKE

Pub/Sub

IAM

Compliance

HIPAA/CJIS

Data Integrity

Security

Data Validation

Write-back Validation

APIs Security

Job description

Mindlance is seeking a seasoned backend software professional with 6+ years of enterprise experience in Java, microservices, and API design. The role emphasizes leadership in architecture, AI integration, and working within regulated environments to ensure secure, compliant systems.

Ideal candidates will have hands-on experience with GCP services (GKE, Pub/Sub, IAM), data validation across AI services, and strong collaboration with cross-functional teams and vendors.