About the Role:

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:

Bachelor's or Master's 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.