Solution Architect

Job Summary

Technical expertise across all areas of AI, including; Machine learning and predictive modelling / MLOps and ML pipeline industrialisation / LLMOps, prompt engineering, embeddings and vector search / Large Language Models (LLMs), hosting, tuning and optimisation / Gen AI and model orchestration / Agentic AI architectures, tool-use patterns, memory and multi-agent workflows
-Knowledge of vector databases, distributed systems and scalable AI workload architecture
-Strong understanding of enterprise data platforms, data sourcing patterns and constraints
-Experience designing scalable cloud-native AI architectures (e.g., Azure, GCP)
-Demonstrable ability to translate complex architectures into reusable enterprise design patterns

Key Responsibilities

1. To assess the domain IT landscape assessment and Application portfolio optimization for gap analysis
2. Creation of solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture)
3. To study and define system requirements addressing stakeholder| portfolio concerns
4. To ensure knowledge up-gradation and work with new and emerging products/technologies
5. To manage Non Functional Requirement adaption for the solution
6. To contribute towards white/technical papers and knowledge base

Skill Requirements

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Other Requirements

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