Job Overview:

We are seeking a highly skilled and motivated Conversational AI DevOps Architect to join our dynamic team. The successful candidate will play a key role in designing, implementing, and managing scalable, secure, and reliable infrastructure solutions that support the deployment and management of Conversational AI systems. This role requires expertise in both DevOps practices and Conversational AI platforms, including managing environments for bot development, AI model integration, and continuous delivery pipelines.

Architectural Design: Lead the design and implementation of scalable and secure Conversational AI systems. Develop architecture blueprints, ensuring that the AI infrastructure aligns with business goals, security policies, and technical standards.
Architect Infrastructure for Conversational AI:

Design and build robust, scalable, and secure infrastructure to support the deployment, integration, and maintenance of Conversational AI solutions (such as bots, virtual assistants, and AI-powered customer service).

Security and Compliance:

Ensure that all AI-related systems are secure, meeting relevant compliance standards (e.g., GDPR, ISO 27001,DORA..etc). Work with the security team to implement best practices in securing AI infrastructure and data.

Automation of Deployment Processes:

Develop and manage automation scripts for the deployment of Conversational AI services to different environments (e.g., testing, staging, production).

AI Model Deployment:

Manage the deployment of AI models and machine learning workflows, ensuring they are integrated seamlessly with the DevOps pipeline for efficient and reproducible results.

Collaboration with Cross-Functional Teams:

Work closely with platform architects, data scientists, and other stakeholders to ensure seamless integration between infrastructure and AI systems.

Continuous Improvement:

Stay up to date with the latest trends in Conversational AI, DevOps tools, and cloud technologies. Implement best practices and new methodologies to improve team efficiency and performance.

Required Skills & Experience:

Education:

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Advanced certifications in Cloud/DevOps/AI are a plus.

Experience:
5+ years of experience in DevOps and infrastructure management.
2+ years of experience working specifically with Conversational AI platforms, such as Cognigy, Dialogflow, Microsoft Bot Framework, or similar.
Expertise in cloud infrastructure (AWS, Azure, GCP), containerization (Docker, Kubernetes), and automation tools (Terraform, Ansible, etc.).
Familiarity with serverless architectures and microservices-based deployment.
Strong experience with CI/CD tools like Jenkins, GitLab, Azure DevOps, or similar.
Technical Skills:
Proficient in scripting languages (Python, Bash,Java etc.).
Familiarity with AI-related tools, APIs, and frameworks.
Soft Skills:
Excellent problem-solving skills and the ability to troubleshoot complex issues.
Strong communication skills and ability to collaborate with cross-functional teams.
Ability to adapt quickly in a fast-paced and changing environment.

Preferred Skills:

Experience with Kubernetes and container orchestration for AI applications.
Familiarity with Conversational AI platforms like Cognigy, Rasa, or Watson Assistant.
Cloud certifications (AWS Certified DevOps Engineer, Google Professional Cloud Architect, etc.).
Knowledge of AI model lifecycle management and continuous model training.

100%

PART 3

Responsibilities

Duties and Responsibilities

List in order of importance and state approximate weightage accorded to each.

Primary responsibility to support Contact Center Operation

50%

Infrastructure Cloud Operations best practices and support

25%

Infrastructure Network optimization and support

25%

PART 4

Skills

Qualification, Experience, Technical and Functional Skills

Graduate BE, BTECH, BSc.
Experience in tools like JIRA, SNOW
Understand the SaaS solution
Experience in comparable role

PART 5

Key Competencies

Understanding of SaaS solution
Understand IT Network environments
Experience in Contact Center
Understanding of various tools like JIRA, SNOW

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Join us. Let's care for tomorrow.

Allianz Technology

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Conversational AI DevOps Architect