Principal AI Solution Architect, Technology Consulting- London, Leeds, Manchester or Newcastle

Credera; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Hybrid working

Job summary

Credera is seeking a senior Data/AI Architect in the UK to lead design and development of data and AI platforms for complex client projects across industries. Hybrid work is available, with on-site client visits and Credera offices.

You will drive ML/LLM integration, ensure data security, and mentor a team of engineers and architects to deliver scalable, compliant solutions that unlock business value.

Qualifications

• 8+ years in data architecture and AI platform design.
• Expertise in ML and Generative AI for data platforms.
• Experience with LLMs (GPT-4, BERT, T5).
• Strong leadership and project management.
• Excellent communication and collaboration.
• Deep knowledge of data security and compliance.
• Cloud-centric approach to architecture.

Responsibilities

• Lead design and development of data and AI platforms for client goals.
• Oversee ML & Generative AI integration for performance.
• Drive ML/LLM industrialisation and PoC delivery at client sites.
• Collaborate with cross-functional teams to align AI strategies with business goals.
• Ensure data security and regulatory compliance.
• Mentor data engineers and architects to foster innovation.
• Define platform architectures for cloud-native data/analytics.

Skills

Data architecture

AI platform design

Leadership

Project management

Communication

Data security & compliance

Cloud-centric architecture

Tools

AWS

Azure

GCP

BigQuery

Redshift

Synapse

Snowflake

Databricks

Job description

We know great talent comes in many forms - including people returning from a career break. If you’re looking for part-time hours, flexible working, or a supportive transition back into your career, we’d love to explore how we can make this role work for you. Are you passionate about developing a career in technology? Does the idea of working for different clients on complex business-critical IT projects excite you? If yes, then read on! Here’s what you’ll do

Core Responsibilities

• Lead the design and development of robust data and AI platforms that support client strategic goals.
• Oversee the integration of Machine Learning & Generative AI technologies, ensuring seamless functionality and performance.
• Drive the implementation and industrialisation of Machine Learning & Large Language Models (LLMs) to enhance data processing and analytics capabilities using technologies such as GPT-4, BERT, and T5.
• Collaborate with cross-functional teams to align data and AI strategies with business objectives.
• Ensure data security and compliance with industry standards and regulations.
• Mentor and guide a team of data engineers and architects, fostering a culture of innovation and excellence.
• Lead the implementation of generative AI architectures and Proof of Concepts (PoCs) at client sites, demonstrating the value and potential of AI-driven solutions.

Wider Responsibilities

• Define and implement platform architectures for cloud-native PaaS and SaaS applications with a focus on data, analytics & AI.
• Ensure seamless data flow across microservices and API-driven architectures.
• Establish best practices for real‑time and batch processing in hybrid cloud environments.
• Lead the implementation of streaming technologies (Kafka, AWS Kinesis, Azure Event Hub) for real‑time data ingestion.
• Implement robust data management & governance strategies for long‑term sustainability.
• Advise clients on data platform & analytics modernization strategies.
• Work closely with business, engineering, and policy teams to align solutions with organisational goals.
• Provide guidance on best practices for cloud‑native data & analytics platforms.

Qualifications

• Proven experience (8+ years) in data architecture and AI platform design.
• Expertise in Machine Learning & Generative AI technologies and their application in data platforms.
• Familiarity with LLM implementation and industrialisation, including technologies such as GPT‑4, BERT, and T5.
• Strong leadership and project management skills.
• Excellent communication and collaboration abilities.
• In‑depth knowledge of data security and compliance standards.
• Strong knowledge of advanced data analytics and machine learning techniques.
• Strong understanding of cloud‑centric approaches to solution design & architecture.

Preferred Experience

• Experience in leading solution implementations for medium to large teams.
• Public sector experience preferred (government, healthcare, or regulated industries).
• Strong understanding of core data management concepts over the full data lifecycle.
• Strong understanding of CI/CD and modern approaches to IT & infrastructure delivery.

Technical Qualifications

• Certified architect in a cloud‑based platform (AWS, Azure, GCP); desired data / AI specialism.
• Certified in leading modern data warehouse / AI ecosystems (BigQuery, Redshift, Synapse, Snowflake, Databricks).

Benefits

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.

Hybrid Working Model

At Credera we operate a flexible hybrid working model. This includes 3 days per week working onsite – either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle). We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in‑person connection, and delivering exceptional outcomes for our clients.

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