AI Engineer | Java & AWS Bedrock, SageMaker & RAG

Job Summary
Synechron seeks an experienced AI Engineer to design build and operationalize AI-powered solutions that integrate with Java/Spring Boot backends on AWS. This role combines ML/AI capability with cloud infrastructure data pipelines and front-end touchpoints to deliver scalable secure and business-ready solutions. The ideal candidate will own end-to-end implementationfrom models and embeddings to production-grade services and integrations with enterprise tooling.

Software Requirements

Essential

• AWS Bedrock Claude Titan embeddings and Guardrails experience

• RAG architecture using SageMaker and Lambda including embedding pipelines and chunking strategies

• Vector databases: OpenSearch or Aurora PostgreSQL (pgvector)

• Graph database: Amazon Neptune

• Orchestration: AWS Step Functions

• MCP tool integrations (Jira ServiceNow qTest etc.)

• Backend development with Java/Spring Boot (integration-focused)

• Frontend exposure: Angular (basic proficiency)

• AWS infrastructure: ECS Fargate EventBridge API Gateway IAM Secrets Manager S3

• Strong programming capabilities in Java and experience applying AI/ML results in production apps

Preferred

• Deepen knowledge across additional AWS AI services and security best practices

• Experience with scalable data engineering pipelines and model deployment automation

Overall Responsibilities

• Architect develop test and maintain AI-enabled Java applications and services

• Collaborate with cross-functional teams to translate business needs into technical solutions

• Design robust data and AI pipelines embeddings and retrieval mechanisms for RAG scenarios

• Ensure code quality through reviews testing and documentation

• Stay current with AI/ML and cloud-native trends; advocate for secure scalable solutions

• Integrate with enterprise tools and ensure seamless deployment and monitoring

• Promote sustainable and efficient development practices including cost-aware cloud usage

Technical Skills (By Category)

Programming Languages

• Essential: Java

• Preferred: Python (for AI/ML workflows and tooling)

Databases/Data Management

• Essential: OpenSearch or Aurora PostgreSQL (with pgvector) for vector/search data

• Preferred: MySQL Oracle SQL Server; data modeling and ORM concepts (e.g. JPA)

Cloud Technologies

• Essential: AWS (Bedrock SageMaker Lambda Step Functions ECS/Fargate EventBridge API Gateway IAM Secrets Manager S3)

• Preferred: Cost optimization security controls multi-AZ/multi-region deployment strategies

Frameworks and Libraries

• Essential: Spring Boot Hibernate/ORM Struts

• Preferred: RESTful APIs microservices architecture JPA AI/ML libraries and tooling

Development Tools and Methodologies

• Essential: IDEs (Eclipse/IntelliJ/NetBeans) Agile/Scrum methodologies

• Preferred: MCP tool integrations (Jira ServiceNow qTest) Git CI/CD practices unit testing frameworks (JUnit Mockito)

Security Protocols

• Essential: Secure coding practices IAM-based access control Secrets management

• Preferred: Secure API design encryption authentication/authorization concepts auditability

Experience Requirements

• Years of Experience: 7 years in software/AI engineering

• Domain Experience: AI/ML RAG implementations cloud-native architectures integration with enterprise systems

• Industry Experience Preferences: Experience working in cross-functional teams; collaboration with back-end front-end and platform teams

• Alternative Pathways: Equivalent hands-on experience and demonstrated outcomes may be considered

Day-to-Day Activities

• Designing and implementing AI-enabled features within Java/Spring Boot services

• Building and maintaining data pipelines embeddings and vector search components

• Developing with AWS Bedrock SageMaker Lambda Step Functions and related services

• Integrating with MCP tools and enterprise workflows (Jira ServiceNow qTest)

• Collaborating with frontend engineers (Angular) and QA to ensure end-to-end quality

• Performing code reviews debugging and performance tuning

• Keeping up-to-date with AI/ML and cloud-native innovations

Qualifications

• Education: Bachelors degree in Computer Science Information Technology or related field (Masters preferred)

• Certifications (preferred): AWS certification(s) (Solutions Architect/DevOps/ML Specialty) and Java-related credentials

• Training: Commitment to ongoing professional development and staying current with industry best practices

• Equivalency: Relevant hands-on experience may be considered in place of formal degrees

Professional Competencies

• Critical Thinking & Problem Solving: Analyzes complex problems and designs scalable AI-enabled solutions

• Leadership & Teamwork: Collaborates across teams mentors peers and drives technical discussions

• Communication & Stakeholder Management: Clear concise communication with technical and non-technical stakeholders

• Adaptability & Learning Orientation: Demonstrates flexibility to adopt new tools and approaches

• Innovation Mindset: Seeks opportunities to improve performance reliability and user value

• Time & Priority Management: Manages multiple streams sets priorities and meets deadlines

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

Candidate Application Notice