Technical Architect (A.I)

TXP
Charing Cross, United Kingdom
12 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Data Architecture
Machine Learning
Google Cloud Platform
Machine Learning Operations
Api Design
Legacy Systems
Microservices

Job description

Design and architect end-to-end AI solutions, that align with government digital strategies and the Technology Code of Practice, combining off-the-shelf components with bespoke code Collaborate with senior technical stakeholders to define AI strategy and roadmaps for digital transformation initiatives Ensure AI solutions integrate effectively with existing government technology infrastructure and legacy systems Design scalable, cloud-first AI architectures following government security and data protection standards Lead the selection and technical design of appropriate AI technologies, platforms, and tools Develop documentation and processes for AI accountability and explainability Present technical concepts and recommendations to non-technical senior leaders Engage with external partners, industry experts, and academic institutions to produce architectural solutions fit for programme purpose Define and oversee prototyping and exploratory development at speed to explore and mitigate technical risks.

Requirements

The ideal candidates will have a proven, Artificial Intelligence Technical Architecture background within public sector/Government, Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices. Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance Understanding of data architecture, API design, and microservices patterns Knowledge of government technology standards and security frameworks Working knowledge about appropriate Data Ethics Frameworks for AI initiatives, ensuring responsible and transparent AI deployment

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