We are looking for a Senior Solution Architect to play a pivotal role in software project delivery by architecting cutting-edge Data and AI solutions integrated with DevOps best practices. This role demands a strong technical leader who can design scalable, maintainable, and secure solutions that accelerate our data-driven software products and apps, ensuring seamless deployment and operations across Azure, AWS, and GCP environments.

Key Responsibilities :

- Lead end-to-end solution design and architecture enabling successful delivery of Data and AI software projects.

- Collaborate closely with product owners, software development teams, data scientists, and DevOps engineers to ensure aligned solutioning that meets business and technical requirements.

- Architect comprehensive data platforms, AI/ML pipelines, and analytics frameworks embedded within software applications.

- Design and implement DevOps workflows specifically tailored for Data and AI software projects, including CI/CD pipelines, container orchestration, infrastructure as code, and automated testing on multi-cloud environments (Azure, AWS, GCP).

- Provide technical guidance on integrating data/AI models with software application stacks, ensuring high availability, scalability, and performance.

- Drive cloud platform selection and optimal usage of managed data and AI services (e.g., Azure Synapse, AWS SageMaker, Google AI Platform) aligned with project needs.

- Ensure best practices around security, compliance, and governance are embedded in the software delivery lifecycle.

- Mentor and collaborate with software developers, data engineers, and DevOps specialists to elevate team capabilities and project outcomes.

- Participate in pre-sales and solutioning workshops to help define scope, architectural roadmap, and technology stack for software engagements.

- Continuously evaluate new technologies and tools to enhance solution delivery and project efficiency.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Software Engineering, Information Technology, or related field.

- 15+ years of experience in software solution architecture, mainly focused on Data and AI.

- Proven expertise in delivering Data and AI-centric software projects involving data ingestion, processing, model development, and deployment.

- Hands-on experience with DevOps for software delivery, including CI/CD pipelines, containerization (Docker, Kubernetes), infrastructure automation (Terraform, ARM templates), ideally in Azure, AWS, and GCP.

- Strong understanding of software development lifecycle (SDLC) and Agile methodologies in the context of Data/AI projects.

- Proficient in integrating AI/ML capabilities with software applications and APIs.

- Deep knowledge of cloud-native data services, AI model deployment platforms, and DevOps toolchains relevant to software projects.

- Strong communication skills for cross-functional collaboration across product, engineering, and operational teams.

- Relevant cloud and architecture certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect Professional, Google Professional Cloud Architect) are highly desirable.

Preferred Skills :

- Experience with microservices architecture and serverless computing in software projects.

- Familiarity with event-driven architectures and real-time data streaming platforms (Kafka, Azure Event Hubs).

- Knowledge of software testing automation, monitoring, and telemetry specific to AI-enabled applications.

- Programming and scripting skills (Python, Java, Bash, PowerShell) for automation and prototype development.

- Understanding of IT security best practices and compliance frameworks in software delivery.