30 Aws Connect Jobs - Page 2

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Responsibilities: Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Requirements: Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field. 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services. Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect. AWS Bedrock experience with Sage maker will have added advantage. Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills, both written and verbal. Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.

Amazon Connect Tech Lead with 6 -8 years experience. Experience with Amazon Connect (Contact flows, queues, routing profile, agent hierarchies) Integration experience with Salesforce (Service Cloud Voice) Hands-on with AWS services AWS Lambda (for backend logic) Programming language Java or Python Amazon Lex (Voice/chat bots) CloudWatch IAM Proficiency in programming scripting Java Script, Nodejs Familiarity with CICD pipelines DevOps and infrastructure as code Terraform CloudFormation Solid experience in REST APIs and integration frameworks. Experience working in Agile Scrum environments Experience in Automating deployments of contact center setup using CI/CD pipelines or Terraform

Role & responsibilities Teqfocus is seeking a highly skilled Senior AWS Engineer to join our growing cloud engineering team. This role requires a deep understanding of AWS services , strong experience in API integrations, virtual machine (VM) orchestration, and expertise in AWS Connect . The ideal candidate will have a strong development background and a passion for scalable, automated cloud solutions. Preferred candidate profile Education : Bachelors degree in Computer Science, Information Technology, or a related field. Experience : 6+ years of experience in cloud infrastructure and solutions engineering, with a strong focus on AWS. Technical Skills : RESTful API development and integration Amazon Connect (flows, queues, routing, Contact Lens) AWS services: EC2, Lambda, IAM, CloudWatch, S3, CloudFormation Proficiency in scripting for automation and orchestration (Python, Node.js, or Shell) Version control with Git Familiarity with Agile development methodologies Communication : Excellent written and verbal communication skills Certifications (Preferred) : AWS Certified Solutions Architect Associate/Professional AWS Certified DevOps Engineer AWS Certified Advanced Networking or Security Specialty Let me know if you'd like this adapted for a resume, job description, or LinkedIn post.

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Towers -Mohali( Punjab) Position: AWS Cloud Engineer Experience: Minimum 5 years of experience. Why to Join ALARIC VENTURES? Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: Results-driven Cloud & Solutions Architect with five years of deep technical expertise in architecting, implementing, and securing scalable, resilient cloud environments, primarily on Amazon Web Services (AWS). AWS certifications, including specialties in Security, Advanced Networking, DevOps and strategic mindset to designing high- impact cloud solutions that align with business objectives. The candidate should be passionate for continuous learning, strong foundation in cloud security, governance, and a proven ability to lead transformation initiatives across customer engagement platforms, including Amazon Connect The candidate should have technical acumen with leadership to deliver secure, customer-centric, and innovative cloud-native solutions. Core competencies: Cloud Solution Design & Architecture: Expertise in designing end-to-end cloud solutions leveraging a wide array of AWS services such as EC2, S3, VPC, Lambda, IAM, and CloudFormation. Contact Centre Modernization: Proven experience in designing and deploying intelligent customer experience solutions using Amazon Connect. Security & Compliance: Architecting secure, compliant, and well-governed environments with specialization in AWS Security practices. Infrastructure as Code & DevOps: Skilled in automating cloud infrastructure using CloudFormation and enabling CI/CD pipelines for efficient delivery. Data & Analytics: Building scalable data pipelines and insightful dashboards using Amazon QuickSight and related AWS analytics tools. Thought Leadership & Mentoring: Active contributor to the cloud community; passionate about mentoring, particularly supporting women in technology. Technical Toolkit: - Languages & Tools: Python, AWS CLI, CloudFormation, Terraform Cloud Services: Amazon Connect, EC2, S3, Lambda, RDS, IAM, VPC, SQS Architectural Models: Public Cloud, Hybrid Cloud, Serverless Computing Domains: Cloud Security, Cloud-native Application Development, Infrastructure Automation Leadership Strengths: Cross-functional collaboration, stakeholder engagement, solution evangelism, team mentoring Certifications: - AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Advanced Networking Specialty AWS Certified Security Specialty AWS Certified Database Specialty AWS Certified Solutions Architect Associate AWS Certified Developer Associate AWS Certified SysOps Administrator Associate AWS Certified Cloud Practitioner AWS Partner: Generative AI Essentials Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: Night shifts /EST Monday to Friday Fixed working days Benefits and compensation: Group Health insurance and other benefits. The Best working culture and growth opportunities. Learning opportunities in leading technologies Compensation as per Market Standard