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Principal Delivery Consultant - Connect and Conversational AI

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Amazon Pforzheim GmbH

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Location:
United States , Austin ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

182800.00 - 284300.00 USD / Year
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Job Description:

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Job Responsibility:

  • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  • Providing technical guidance and troubleshooting support throughout project delivery
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Requirements:

  • Bachelor's degree in Computer Science, Math, or a related field
  • 8+ years of experience in cloud architecture and implementation
  • 8+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc.
  • 5+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment
  • 8+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9)

Nice to have:

  • AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
  • Experience with automation and scripting (e.g., Terraform, Python)
  • Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  • Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills
  • Experience incorporating generative and agentic AI into the contact center (voice or chat bots, agent assist or next best action), including architecture design, model selection and integration, prompt engineering, and data preparation.
What we offer:
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)

Additional Information:

Job Posted:
February 21, 2026

Expiration:
February 26, 2026

Employment Type:
Fulltime
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