We are looking for Python Architect for our client in New York, NY
Job Title : Python Architect
Job Location : New York, NY
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.
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.