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Java Solution Architect Jobs in New York (NOW HIRING)

AI Architect

Jersey City, NJ · On-site

$65.75 - $86.75/hr

Architect and guide the development of scalable, production-grade AI solutions integrated with Java/Spring Boot microservices. * Translate complex business problems into AI-driven solutions ...

Java Architect

New York, NY · On-site

$69 - $93/hr

Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Position: Java Architect Location: New York City, NY Joining Mode ...

Java Architect

New York, NY · On-site

$69 - $93/hr

... solutions to companies while building a solid reputation for integrity and consistent quality ... Job Title: Java Architect Location: New York City, NY Type: Contract to Hire Length: 3 months ...

Java Architect

Manhattan, NY · On-site

$69.25 - $93.50/hr

Job Summary : Quantix HealthTech is a rapidly growing organization in the Healthcare IT sector that specializes in delivering IT resources and solutions. They are seeking a Java Architect to ...

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Showing results 1-20

Java Solution Architect information

See New York salary details

$125.8K

$173.8K

$197.5K

How much do java solution architect jobs pay per year?

As of Jul 23, 2026, the average yearly pay for java solution architect in New York is $173,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,900.00 and $186,000.00 per year, depending on experience, location, and employer.

What is the difference between Java Solution Architect vs Java Developer?

AspectJava Solution ArchitectJava Developer
CredentialsTypically requires a bachelor's degree in Computer Science or related field, with experience in architecture and designRequires a bachelor's degree in Computer Science or related field, with programming skills
Work EnvironmentDesigns system architecture, collaborates with stakeholders, oversees implementationWrites, tests, and maintains Java code, follows specifications
Industry UsageUsed in enterprise solutions, software design, and architecture planningUsed in application development, coding, and debugging

The Java Solution Architect focuses on designing high-level system architecture and ensuring technical alignment, while the Java Developer concentrates on coding, implementing, and maintaining Java applications. Both roles require Java expertise, but differ in scope and responsibilities.

How does a Java Solution Architect typically collaborate with development teams and stakeholders during a project lifecycle?

A Java Solution Architect plays a central role in guiding development teams and aligning technical solutions with business objectives. They work closely with business analysts, project managers, and stakeholders to understand requirements, then translate these into scalable Java-based architectures. Throughout the project lifecycle, they provide technical leadership, review code and designs, address architectural challenges, and ensure best practices are followed. Regular communication and collaboration help ensure that project goals are met efficiently and technical risks are proactively managed.

What are the key skills and qualifications needed to thrive as a Java Solution Architect, and why are they important?

To thrive as a Java Solution Architect, you need deep expertise in Java programming, software architecture principles, and experience with enterprise application design, often supported by a computer science degree and relevant certifications. Familiarity with tools such as Spring, Hibernate, cloud platforms (AWS, Azure), and architectural modeling systems like UML is typically required. Strong leadership, problem-solving, and communication skills set top performers apart by enabling effective collaboration and solution delivery across teams. These skills are crucial for designing scalable, robust systems that meet complex business needs and ensuring project success.

What is a Java Solution Architect?

A Java Solution Architect is a senior IT professional who designs, develops, and oversees the implementation of software solutions using Java technologies. They are responsible for creating high-level architectural plans, ensuring scalability, security, and performance of applications. Java Solution Architects work closely with stakeholders, developers, and project managers to translate business requirements into technical solutions. Their expertise helps organizations build reliable and efficient systems that meet business goals.
What are popular job titles related to Java Solution Architect jobs in New York? For Java Solution Architect jobs in New York, the most frequently searched job titles are:
What job categories do people searching Java Solution Architect jobs in New York look for? The top searched job categories for Java Solution Architect jobs in New York are:
What are popular job titles related to Java Solution Architect jobs in NY? For Java Solution Architect jobs in NY, the most frequently searched job titles are:
Infographic showing various Java Solution Architect job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $173,850 per year, or $83.6 per hour.
AI Solutions Architect - Remote

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

Posted 20 days ago


Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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