Data and AI Solutions Architect- Jersey City, NJ (Onsite)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Python
aws
docker
Governance
GenAI
AI/ML
LLM
containerization
RAG

Job Details

Role Name: Data and AI Solutions Architect
Location: Jersey City, NJ (Onsite)
Duration: 6-12 Months Required Experience: 5-10 years of professional software development and solution design experience Strong proficiency in Python programming and architectural design patterns Extensive background with AWS cloud services and cloud-native architectures Experience with AI/ML solution development and governance frameworks Proven experience with data strategy frameworks including cataloging, lineage, and quality management Hands-on experience with generative AI technologies and implementation

Key Responsibilities: Design scalable, enterprise-grade data and AI solutions and system architectures Build and maintain complex software solutions and AI governance platforms Develop proof-of-concepts to validate architectural approaches and technology choices Implement data cataloging, quality monitoring, and security frameworks Create detailed technical specifications and implementation plans Collaborate with cross-functional teams to translate business requirements into technical designs Implement end-to-end solutions from design through production deployment

Technical Requirements Core Technologies Advanced Python development Strong database experience : relational and non-relational AWS services: EC2, S3, RDS, Lambda, API Gateway, Bedrock, SageMaker Containerization and orchestration: Docker, Kubernetes, Helm

Data Strategy & Governance Data cataloging tools and metadata management Data quality frameworks and monitoring tools Data security and privacy implementation (encryption, access controls, PII detection) Data lineage tracking and impact analysis

Architecture & DevOps Microservices architecture and RESTful API design Infrastructure as Code: Terraform, CloudFormation CI/CD pipelines: Jenkins, GitLab CI, GitHub Actions Monitoring tools: Grafana, Prometheus, Loki Version control systems (Git)

AI/ML & Generative AI AI governance frameworks and MLOps practices Generative AI implementation and fine-tuning (LLMs, prompt engineering, RAG) Model monitoring, validation, and compliance implementation Experience with OpenAI, Anthropic, or AWS Bedrock services Understanding of AI ethics, bias detection, and regulatory requirements

Preferred Qualifications Bachelor's degree in Computer Science or related field Experience with big data technologies and data pipelines Test-driven development and Agile methodologies AWS certifications Experience with vector databases and embedding technologies

 

 

Best Regards,

Chetna

-D

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Truth Lies in  Heart

 

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