Java Technical Lead – AI Integration

Job Title: Java Technical Lead – AI Integration

Location: Albany, NY (Onsite)

Client: Confidential

Duration: 30 Months

Work Hours: 40 hrs/week

Daily tasks include, but are not limited to:

• Build core REST endpoints, construct and optimize database queries in collaboration with the Data Architect, and implement business-logic validations.
• Design and review Java-based microservices and APIs supporting integration between the core UI system and the AI Job Assist Tool.
• Review, critique, and recommend approval of vendor API specifications, data schemas, and integration designs before ITS development begins.
• Act as a technical liaison among the vendor AI team, NYSDOL business subject-matter experts, and ITS security/infrastructure teams.
• Collaborate on establishing coding standards and branching strategies, and perform critical code reviews for security, performance, and maintainability.
• Design end-to-end integration among REST APIs, the MCP server, and the core UI system of record.
• Collaborate with Google Cloud Platform Cloud Engineering on secure egress proxies, VPC Service Controls, GKE, Pub/Sub, IAM, and related cloud-native architecture.
• Design validation frameworks that prevent corrupt or unapproved AIgenerated data from being written back to the UI system.
• Anticipate and mitigate API instability, dependency, and databasechange risks, and develop technical workarounds as needed.
• Develop and execute load-testing strategies to support approximately 1,500 concurrent users and document-heavy workloads.
• Support integration of AI capabilities and Model Context Protocol (MCP) services with enterprise Java/microservice solutions.
• Create and maintain technical documentation and provide knowledge transfer and mentoring to State staff

Required Qualifications:

• 96 months experience in enterprise backend software development and API architecture using Java and microservices, including design and implementation of REST APIs.
• 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.
• 12 months experience designing, implementing, or validating Model Context Protocol (MCP) servers, clients, tools, or integrations
• 24 months experience with Google Cloud Platform 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