Recently postedTechnology

AI Architect & Backend Development Lead

VDart, Inc.Atlanta, GA🇺🇸United States

Why this role stands out

This hybrid role offers a fantastic opportunity to lead AI architecture and backend development, shaping innovative solutions within a reputable company. You'll thrive here if you possess extensive experience and a passion for driving technological advancements. Apply now to contribute your expertise and grow your career!

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationAtlanta, GA, United States

MicroservicesMongoDBMySQLOracleSpringSpring BootGitAWSAPI GatewayEncryptionOWASPGitHub ActionsJavaKafkaLLMGenerative AIPostgreSQLMachine LearningAgileCI/CDRAGIAM

Job description

Job Title: AI Architect & Backend Development Lead

Location: Atlanta, GA

Duration: / Term: Contract

Experience Desired: 15+ Years

Job Description:

Key Responsibilities

Define and own backend architecture, service boundaries, API contracts, and data models across case, financial, scheduling, and document modules on AWS.
Architect AI capabilities on Amazon Bedrock: RAG over case documents and statutes using OpenSearch vector search, prompt governance, Bedrock Guardrails, evaluation, and human-in-the-loop review.
Lead, mentor, and code-review the backend team in GitHub; set coding standards, branching strategy, PR workflow, and definition of done.
Design Java/Spring Boot API microservices and the data layer across Amazon RDS, MongoDB, and OpenSearch, choosing the right store for each workload.
Architect role-based access, case sealing, PII protection, and full audit trails to meet judicial data security and CJIS-aligned requirements.
Own CI/CD with GitHub Actions and AWS deployment patterns (ECS/EKS, Lambda, API Gateway); drive performance, observability, and cost control.
Translate court business rules into technical designs; estimate work and contribute to sprint and release planning.

Required Qualifications

18+ years of backend application development, including 10+ years as a technical lead or architect.
Expert hands-on Java (Spring Boot) application development, building API-based microservices in production.
Strong data experience with Amazon RDS (PostgreSQL/MySQL/Oracle), MongoDB, and OpenSearch: modeling, query tuning, and indexing.
2+ years designing GenAI solutions on AWS (Amazon Bedrock, RAG, embeddings, vector search, guardrails, evaluation).
Deep AWS experience: ECS/EKS, Lambda, API Gateway, SQS/SNS, S3, IAM, KMS, Cognito, CloudWatch; GitHub and GitHub Actions for source control and CI/CD.
Strong application security (OAuth2/OIDC, encryption, OWASP Top 10, audit logging) and proven Agile team leadership.

Preferred Qualifications

Court, justice, or public-sector case management experience.
Event-driven architecture (Amazon MSK/Kafka, EventBridge) and workflow engines (Step Functions).
Payment processing and financial reconciliation systems.
AWS Solutions Architect – Professional or AWS Machine Learning / GenAI certification.

Key Skills:

AI Architecture, AWS, Bedrock, RAG, LLM, Java, Springboot, Microservices, Embedding, EKS