Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)
Skills
API
Access Control
Agile
Amazon EC2
Amazon RDS
Amazon S3
Amazon SageMaker
Amazon Web Services
Architectural Design
Artificial Intelligence
Job Details
We are looking for Python Architect for our client in New York, NY
Job Title: Python Architect
Job Type: Contract
Job Description:
Pay Range: $85hr - $90hr
- 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.
- 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.
- 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 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.
- 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 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.
- 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.
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