Platform Consultant Expert - (Hybrid)

The Platform Consultant defines and drives architecture patterns, integration standards, and ecosystem strategy across AI platforms, security data, and tooling. This role ensures the environment evolves as a coherent, reusable, and governed platform ecosystem, enabling safe, scalable adoption through well-defined “paved roads.” 

You will translate operational intent into enterprise-scale platform design, ensuring interoperability between AI systems, data platforms, and tooling while minimizing fragmentation and maximizing reuse. 

Key Responsibilities 

Platform Architecture & Standards 

• Define architecture, design patterns, and integration standards across AI, data, and tooling. 

• Establish APIs, data models, security controls, and observability requirements. 

Data & AI Enablement 

• Ensure high-quality, structured data for AI (lineage, consistency, readiness). 

• Set standards for safe AI use (explainability, auditability, controlled actions). 

Tooling & Integration 

• Design unified integration across tools and platforms. 

• Ensure tools produce consistent, high-quality, AI-ready data. 

Paved Roads & Adoption 

• Build scalable, reusable solutions as the default (“paved roads”). 

• Drive standardization, reduce duplication, and guide adoption. 

Strategy & Decision-Making 

• Lead build vs. buy vs. integrate decisions. 

• Ensure solutions are scalable, secure, and governance-driven. 

​Cross-Functional Leadership 

• Partner across teams (ACP, SD&O, T&P) for platform alignment. 

• Influence teams to drive simplification, reuse, and consistency. 

Essential Criteria  

• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.

• A minimum of 5 years software engineering experience in at least 3 programming paradigms to include:- 

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Object-oriented (Java & Javascript required and at least one other language) 

Procedural / systems (e.g. Go, Rust, C) 

Functional (e.g. F#, Elixir, Clojure, Haskell) 

• Experience using modern development tools (e.g., IntelliJ or VS Code, Git/GitHub, Spring Boot) and designing robust RESTful APIs 

• A minimum of 3 years hands on expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance  

• Demonstrated success as a high impact technical advisor to multiple engineering teams, with proven ability to influence architecture direction and mentor engineers in best practices with proven leadership responsibilities. 

• Expert level knowledge of Agile/XP and DevOps methodologies, including paired programming, test driven development (TDD), and CI/CD automation, with a track record of using these practices to accelerate delivery and improve quality 

Desirable Criteria 

• Experience with agentic AI platforms, governance, and safe-action design 

• Familiarity with security operations ecosystems and analyst workflows 

• Experience with:  

• Telemetry and observability systems 

• Data lineage, metadata, and data quality frameworks 

• Canonical data models and analytics-ready datasets 

• Background in tooling integration and platform standardization (golden paths/paved roads) 

• Experience aligning AI, data, and tooling strategies into a unified platform vision 

Supervisory Responsibilities 

• This job does not have supervisory duties. 

Job Posting End Date: Sunday 16th August 2026 [11.59pm] 

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