Your responsibilities will include
Architectural Blueprinting & Design
Recommend the reference architectures for AI related solutions across the enterprise.
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Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.
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Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.
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Recommend the optimal technical stack for specific business use cases.
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Partner with AI & Data Governance to ensure architectures align with risk, compliance, and lifecycle requirements.
Technical Feasibility & Scoping
Conduct evaluation of the technical feasibility of AI related initiatives.
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Conduct rapid prototyping, POCs, MVPs, to validate AI-specific technical assumptions.
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Support defining technical requirements, model dependencies, and integration points for AI related initiatives.
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Collaborate with Security, Data, and Infrastructure teams to validate architectural assumptions and verify technical fit within the enterprise environment.
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Provide high-level effort estimations and resource requirements for AI implementations.
Product Definition & Scalability
Support defining what AI models need to move beyond “lab” environments into robust, scalable production systems.
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Support defining requirements for scaling
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Recommend optimized architectures for latency, cost-efficiency (token management), and reliability.
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Assess cost impact of model choices, inference patterns, and orchestration designs to recommend sustainable options.
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Establish patterns for AI safety, bias mitigation, and “Human-in-the-loop” architectural components, ensuring architectural decisions follow the AI governance model, including risk reviews, lifecycle stages, and required documentation.
Technical Leadership & Mentorship
Act as the “North Star” for tech people involved in the implementation of AI related solutions.
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Provide technical oversight and architecture reviews for AI related projects.
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Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).
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Collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses cases, maintaining and evolving a set of reusable AI architecture patterns and component templates to support enterprise scaling.
Technology Validation & Model Evaluation
Design and execute the technical assessment of AI models, and emerging technologies to ensure enterprise-grade performance.
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Apply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability.
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Review external AI products and services from a technical perspective to gauge architectural fit and integration readiness.
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Stay at the forefront of AI research to identify and integrate new technical capabilities (e.g., multimodal models, advanced embedding techniques, reasoning models).
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Ensure AI related solutions maintain technical flexibility and avoid architectural lock-in through modular design and standardized AI interfaces.
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Maintain concise architectural documentation that supports decision-making, governance, and auditability.
Success in this role means:
• AI solutions successfully deployed from concept to production
• Scalable, reusable architecture patterns adopted across the enterprise
• Optimized cost, performance, and reliability of AI systems
• Strong alignment between business needs, engineering delivery, and governance requirements