AWS Connect Engineer at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, AWS Lambda, AWS Lex, Amazon Connect, DynamoDB, Kinesis, Amazon SQS, Databricks, AI/ML, Delta Lake, Node.js, Terraform, CDK, CloudFormation

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Min Experience: 3 years Location: Remote (India) JobType: full-time Join a rapidly growing platform team that is transforming customer experience through AI-driven automation. This role focuses on building and optimizing intelligent contact center workflows using Amazon Connect, tightly integrated with a Databricks-based enterprise data lake. You will play a key role in developing voice LLM agents, real-time analytics pipelines, and automated decisioning systems that power customer care, collections, agent performance, and operational intelligence. Key Responsibilities Architect, develop, and enhance AI-powered contact center solutions using Amazon Connect. Integrate Databricks Lakehouse with Connect and AI services to enable: Real-time agent assistance and contextual insights Automated decision-making workflows Advanced analytics and post-interaction intelligence Build and optimize core components including: Amazon Connect Contact Flows Lex V2 conversational bots Lambda-based orchestration Agent assist and workflow automation capabilities Implement inference pipelines for sentiment analysis, compliance detection, risk scoring, and QA. Utilize LLM-based voice and chat agents to automate end-to-end customer interactions. Deploy infrastructure using Infrastructure-as-Code (CDK, Terraform, or CloudFormation). Monitor and continuously improve contact center KPIs such as AHT, CSAT, NPS, and QA metrics. Collaborate with Product, Operations, and Data Engineering teams to deliver measurable business outcomes. Required Qualifications 3+ years of hands-on experience with Amazon Connect engineering and contact center workflow development. Strong experience with: AWS Lex, Lambda, S3, DynamoDB Kinesis, SQS, and event-driven architecture AI/ML inference within AWS environments Practical experience with Databricks Lakehouse, including Delta Lake read/write pipelines. PySpark or Spark SQL for data transformation and processing. Strong programming skills in Python or Node.js. Comfort working with streaming data, JSON event structures, and data quality best practices. Nice-to-Have Experience within collections, customer care, or contact center automation. Exposure to RAG pipelines, LLM integrations, and real-time AI agents. Knowledge of vector databases such as Pinecone, FAISS, or Milvus. Familiarity with regulatory frameworks like PCI, SOC2, and HIPAA. Skills Python • PySpark • AWS Lambda • AWS Lex • Amazon Connect • DynamoDB • Kinesis • Amazon SQS • Databricks • AI/ML • Delta Lake • Node.js • Terraform / CDK / CloudFormation

Responsibilities

The role involves architecting, developing, and enhancing AI-powered contact center solutions using Amazon Connect. It also includes integrating Databricks Lakehouse with Connect and AI services to enable real-time agent assistance and automated decision-making workflows.