Java Solution Architect with AI/ML , Generative AI and LLMs.

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Amazon Web Services
API
Apache Kafka
AngularJS
Architectural Design
Artificial Intelligence
Cloud Computing
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IT Management
JavaScript
Java
Multithreading
Python
Kubernetes
Jenkins
Machine Learning (ML)
DevOps
Database
Real-time
Functional Requirements
Git
SLA
Software Engineering
Microservices

Job Details

Role: Java Solution Architect

Location: Remote

Duration: 12 Months

Job Description:

Architecture & Technical experience

Create architectural designs and lead architectural design for enterprise-scale applications and integrations.

Collaborate with enterprise and clinical architecture teams to ensure alignment.

Work with the product teams (owners, managers) to understand the capabilities being requested and translate them to architectural/technical designs

Team & Program Leadership

Guide technical leads and engineers across multiple projects.

Act as the senior architect on major initiatives, including clinical programs

Provide architectural oversight and hands-on support throughout the development lifecycle.

Required Qualifications

10+ years in software engineering and architecture roles (technical lead, solution architect, enterprise architect)

Strong experience in Java, Python, Spring Boot, and front-end frameworks (Angular/JavaScript).

Strong experience in understanding non-functional requirements (SLA, response time, real time, near real time, multi-threading) and ability to create designs that meet the non-functional requirements.

5+ years of full stack development experience

5+ years of SQL, NoSQL, Redis and any relevant database experience

5+ years in cloud platforms (Google Cloud Platform/AWS), microservices, and API design.

Experience with DevOps tools (Kubernetes, Jenkins, Docker, Git) and Kafka.

Familiarity with AI/ML technologies, especially Generative AI and LLMs.

Proven ability to lead cross-functional teams and manage stakeholder expectations.

Preferred Qualifications

Experience in healthcare domain.

Full-stack development experience.

Experience working with distributed teams across time zones.

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