Job Description

Job Title: Architect Generative AI (Amazon Bedrock & Python)

Location: Whippany, NJ - Day 1 Onsite

Duration: Long Term Contract

Top Must Haves:

1. Expert in Python Coding (Large Data Management)
2. Generative AI RAG platform
3. Hands On Experience with Amazon Bed Rock
4. Framework development
5. Data pattern design
6. core AI Platforms and Data Infrastructure on AWS and Databricks,
7. Skills to Look in Resume: AWS, LlamaIndex, LLMs (LLama, HuggingFace), ChromaDB, Databricks AI, Deltalake, Parquet, Kafka, Akka, Vert.x, Spring Boot, PostgreSQL, Spark, Java, Scala, Python, Docker, ELK, Grafana, Aerospike

Responsibilities:

We are seeking an experienced Generative AI Architect with expertise in Amazon Bedrock and Python to lead the design and implementation of AI-driven solutions. The ideal candidate will have deep hands-on experience in framework development, data pattern design, and building AI platforms for large-scale applications. This role involves designing scalable Gen AI foundations, integrating models with enterprise systems, and optimizing performance for high-load environments.

Key Responsibilities:

• Architect and develop Generative AI solutions using Amazon Bedrock , ensuring scalable and efficient model deployment.
• Design and implement frameworks and data patterns for Generative AI applications.
• Establish a Gen AI foundation and platform , integrating with cloud-native services and enterprise ecosystems.
• Optimize large-scale data pipelines to handle high-volume AI workloads efficiently.
• Utilize strong Python programming skills to build, fine-tune, and deploy AI models.
• Collaborate with data scientists, ML engineers, and cloud architects to enhance AI model capabilities.
• Implement best practices for model governance, security, and compliance in AI-driven applications.
• Conduct performance tuning and optimization of AI models for real-world use cases.
• Work with AWS cloud services (S3, Lambda, SageMaker, Step Functions, etc.) to build seamless AI workflows.

• 5+ years of hands-on experience in Generative AI , with proven expertise in designing and deploying AI models.
• Strong knowledge and experience with Amazon Bedrock for foundation model deployment and fine-tuning .
• Proficiency in Python programming , including experience in handling large datasets for AI/ML applications.
• Experience in designing Gen AI architectures , frameworks, and scalable platforms.
• Strong understanding of machine learning, deep learning, and AI model lifecycle .
• Knowledge of data engineering, MLOps, and AI deployment pipelines in a cloud environment.
• Experience with vector databases, embedding models, and real-time AI applications .
• Familiarity with LLM (Large Language Model) fine-tuning and retrieval-augmented generation (RAG) .
• Hands-on experience with AWS services (S3, Lambda, SageMaker, API Gateway, Step Functions, DynamoDB, etc.).
• Strong problem-solving skills and ability to architect scalable, production-ready AI solutions .

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10212489a
• Position Id: 2025-66353

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