
Chief Data Application Strategist
1 day ago
The ideal candidate will have 8+ years of experience in software engineering and a minimum of 4 years in a technical leadership or architecture role. The Tech Lead / Architect – Python Applications with GenAI Integration position focuses on solution design, architectural leadership, and cross-functional collaboration across AI/ML platforms, backend engineering, and cloud-native infrastructure.
- Translate business and product requirements into modular, scalable, and maintainable technical solutions.
- Guide and mentor backend, infrastructure, and MLOps teams in implementing architecture blueprints.
Key qualifications for the successful candidate include:
- Expertise in microservices architecture, distributed system design, and integration patterns.
- Strong familiarity with cloud platforms such as AWS, Azure, or GCP, and practical knowledge of AI/ML services like SageMaker, Vertex AI, or Azure ML.
The role requires a sound understanding of GenAI system components, including LLM lifecycles, embedding generation, prompt orchestration, and RAG architectures. The ability to architect complete GenAI workflows, from context ingestion and enrichment to inference handling and post-processing, is also essential.
This is an exciting opportunity to work on cutting-edge technologies and contribute to the development of innovative AI-powered applications.
- A strong hands-on background in developing Python-based applications is essential.
- Knowledge of CI/CD processes, system security, and observability/monitoring frameworks is also required.
We are seeking a highly experienced Tech Lead / Architect to drive the architecture and delivery of modern, scalable data applications powered by Generative AI (GenAI).
- Evaluate and recommend the right mix of tools, frameworks, and platforms.
Additional responsibilities include ensuring the security, scalability, and performance of all deployed systems and staying current with advancements in GenAI.
What We OfferAs a valued member of our team, you can expect:
- An inviting workplace with talented colleagues from diverse backgrounds.
- Career path and steady growth prospects with great scope to innovate.
Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.
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