채용
Required Skills
Amazon Connect
Node.js
Python
Project Role: Application Tech Support Practitioner
Project Role Description: Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.
Must have skills: Amazon Connect
Good to have skills: Amazon Web Services (AWS)Minimum 3 year(s) of experience is required
Educational Qualification: 15 years full time education
Job Summary:
We are seeking a Senior Analyst – Contact Center & GenAI Operations with 3–5 years of experience in Contact Center technologies and AWS Cloud services.
The ideal candidate will support the implementation, configuration, and day-to-day operation of Amazon Connect–based contact center solutions and GenAI-powered chatbots, working under the guidance of senior engineers, team leads, and solution architects.
This role is hands-on and execution-focused, involving development, integration, testing, and production support of cloud contact center and conversational AI solutions.
Key Responsibilities:
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Implementation & Configuration
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Configure and support Amazon Connect contact center solutions across voice and digital channels (chat, voice).
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Implement and maintain AWS services including Amazon Lex, Lambda, DynamoDB, S3, API Gateway, Transcribe, Comprehend, and Contact Lens.
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Assist in implementing GenAI-powered chatbots and agent-assist features using Amazon Bedrock and LLM-based services as per defined designs.
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Configure Amazon Lex bots, intents, slots, and dialog flows, and integrate them with backend services or LLM-based responses.
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Perform configuration changes, enhancements, and bug fixes in contact center and chatbot solutions.
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Development & Integrations
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Develop and maintain Lambda functions and backend services using Node.js and/or Python.
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Support API-based integrations with backend CRM, other enterprise systems.
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Assist with event-driven integrations using Amazon Connect events, Lambda triggers, and Kinesis.
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Write clean, maintainable code and unit tests under guidance.
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Support & Operations
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Provide L2 production support for contact center and chatbot applications, including incident handling and troubleshooting.
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Monitor system health using CloudWatch logs, metrics, and alarms.
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Assist in root cause analysis, defect resolution, and performance tuning.
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Support UAT, regression testing, and release validations.
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Required Skills & Experience
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3–5 years of experience in Contact Center technologies or cloud-based customer experience platforms.
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Hands-on experience with Amazon Connect and supporting AWS services (Lex, Lambda, DynamoDB, S3, API Gateway, Transcribe, Comprehend, Contact Lens).
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Exposure to GenAI concepts and LLM-based solutions, including hands-on or assisted experience with Amazon Bedrock.
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Experience configuring or supporting Amazon Lex chatbots.
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Programming experience in Node.js and/or Python.
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Basic understanding of REST APIs and system integrations.
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Strong analytical and troubleshooting skills.
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Preferred Qualifications
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Bachelor s degree in Engineering, Computer Science, or Information Technology.
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AWS certifications such as AWS Certified Cloud Practitioner or Developer – Associate.
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Exposure to Contact Lens analytics, call recordings, and sentiment analysis.
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Familiarity with CloudWatch, CloudTrail, and monitoring best practices.
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Experience supporting Omnichannel contact center solutions (voice and chat).
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Experience in enterprise support or managed services environments.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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