AI Technical Architect ( Senior Leadership role)

PRACYVA; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

PRACYVA seeks an experienced AI programme and delivery leader to drive end-to-end AI/ML, GenAI and agentic AI initiatives in the United Kingdom. You will own multiple programmes, shaping strategy, governance, milestones and success metrics while ensuring robust engineering practices and scalable production deployments across client engagements.

The role calls for deep expertise in AI engineering, MLOps and responsible AI, with a track record of delivering complex software systems; you’ll

Qualifications

• Extensive experience delivering large-scale AI/ML and GenAI programmes.
• Strong leadership across multi-disciplinary teams and governance structures.

Responsibilities

• Own end-to-end delivery of multiple AI/ML programmes from discovery through production deployment and operationalisation.
• Define delivery strategy, execution plans, milestones, governance processes and success metrics.
• Drive project execution from discovery through production deployment and operationalisation.
• Manage programme risks, dependencies, budget, scope, quality and schedule.
• Establish delivery governance and reporting mechanisms across multiple customer engagements.
• Ensure predictable delivery while maintaining engineering quality and innovation standards.
• Drive adoption of best practices for AI Engineering, MLOps, LLMOps, evaluation, observability and Responsible AI.

Job description

• Write, deploy and maintain production-grade AI systems, custom evaluation pipelines and high-performance synthetic data generation engines.
• Architect robust, scalable agentic loops, including ReAct patterns, state machines and human-in-the-loop workflows.
• Design systems that manage complex state, use context efficiently and degrade gracefully in production.
• Guide solution architecture and technology decisions for scalable, secure and resilient AI systems.
• Drive engineering excellence across development, testing, deployment, monitoring and production support.

AI programme & delivery leadership

• Own end-to-end delivery of multiple simultaneous AI/ML, GenAI and Agentic AI programmes.
• Define delivery strategy, execution plans, milestones, governance processes and success metrics.
• Drive project execution from discovery through production deployment and operationalisation.
• Manage programme risks, dependencies, budget, scope, quality and schedule.
• Establish delivery governance and reporting mechanisms across multiple customer engagements.
• Ensure predictable delivery while maintaining engineering quality and innovation standards.
• Drive adoption of best practices for AI Engineering, MLOps, LLMOps, evaluation, observability and Responsible AI.

Technical leadership & review

• Enforce an exceptionally high engineering standard through rigorous code reviews and scalable architectural patterns.
• Bridge the gap between open-ended research and robust software engineering.
• Work closely with architects, principal engineers, data scientists, researchers and platform teams on client side.
• Review technical risks, architecture decisions, evaluation methodologies and implementation approaches.
• Evaluate emerging AI technologies and identify opportunities for customer innovation.
• Pioneer the integration of AI coding assistants and automation into CI/CD and engineering lifecycles to maximise velocity.