Senior AI Analytics Engineer — NLP for Contact Analytics

Hammerjack Pty Ltd; Philippines; On-site; PHP 1,800,000 - 2,600,000; Full time

Job summary

Hammerjack Pty Ltd seeks a hands-on Senior AI Analytics Engineer to build an analytics tool enabling natural language questions over structured and unstructured call center data. The role centers on integrating transcripts with operational records and delivering reliable, explainable answers using AWS Bedrock and SageMaker.

You will design an end-to-end analytics solution, ensure traceability and security, and collaborate with business and engineering teams to deploy in production.

Qualifications

• Hands-on experience designing and building a natural language analytics or conversational BI application.
• Experience combining structured data with unstructured text to answer business questions.
• Experience with call center, contact center, or comparable customer interaction data, including transcripts or conversation records.
• Practical experience building AI applications on AWS and Amazon Bedrock.
• Strong Python and SQL skills, including data pipelines, APIs, and querying business data.
• Experience with retrieval-augmented generation (RAG) or semantic search for large text collections.
• Ability to describe a system they personally built, its deployment, and how accuracy was measured.

Responsibilities

• Design and build a natural language interface for questions about call volume, customer issues, repeat contacts, agent activity, and other business measures.
• Connect unstructured information, such as transcripts and notes, with structured information like call metadata and operational records.
• Use Amazon Bedrock to develop language model and retrieval workflows that find relevant information and generate supported answers.
• Build data pipelines and query workflows that retrieve and analyze the right records for each question.
• Use Amazon SageMaker where custom ML models, deployment, or monitoring are needed.
• Test the accuracy of retrieved information, generated queries, calculations, and final answers.
• Implement source traceability, access controls, and handling of sensitive customer information.
• Collaborate with business and engineering teams to deploy and improve the tool for production use.

Skills

Natural language analytics

Python

SQL

Data pipelines

Retrieval-augmented generation

Semantic search

AWS Bedrock

Amazon SageMaker

APIs

Tools

Amazon Bedrock

Amazon SageMaker

AWS S3

AWS Glue

Amazon Athena

OpenSearch Service

Job description

Hammerjack Pty Ltd seeks a hands-on Senior AI Analytics Engineer to build an analytics tool enabling natural language questions over structured and unstructured call center data. The role centers on integrating transcripts with operational records and delivering reliable, explainable answers using AWS Bedrock and SageMaker.

You will design an end-to-end analytics solution, ensure traceability and security, and collaborate with business and engineering teams to deploy in production.