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# Technical Architect - AI

- **Company:** Pracyva ltd
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Code Review, Continuous Integration, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Software Architecture, Software Deployment, Software Engineering, Systems Architecture, TypeScript, ReactJS, Large Language Models, State Machines, Model Validation, Containerization, Information Technology, Machine Learning Operations, Virtual Agents, Data Pipelines, Docker, Data Generation
- **Published:** September 15, 2026
- **Apply:** https://itjobpro.co.uk/job/technical-architect-ai

## About the Role

Proven track record as a Principal AI Engineer, Staff Engineer or highly technical Architect.
Direct experience shipping LLM-backed applications to production and managing latency, context limits and model degradation.
Demonstrated experience leading complex, concurrent AI programmes from discovery through deployment and operationalisation.
Ability to balance hands-on technical contribution with executive stakeholder management, delivery governance and team leadership. Advanced AI tooling
Deep, practical expertise using AI-first development environments and coding assistants.
Power-user experience with tools such as Claude Code, OpenAI Codex, Cursor or Windsurf.
Strong understanding of context-window management across multi-file codebases.
Practical knowledge of MLOps, LLMOps, model evaluation, observability and Responsible AI. Core engineering
Elite-level proficiency in Python and/or TypeScript.
Deep familiarity with modern backend architecture, containerisation using Docker, orchestration and scalable data pipelines.
Strong intuition for evaluating AI models, working with generative APIs and building resilient systems around non-deterministic outputs.
Experience designing, testing and operating production systems with appropriate quality, security and reliability controls. Education
Bachelor's degree in Computer Science, Engineering, Information Technology or a related field.
Master's degree preferred. Pracyva is one of THE FASTEST GROWING specialized RecruitmentConsulting firm in UK and Europe… Pracyva Limited has local presence across UK , Europe ( Ireland, Netherlands , Poland ,Germany ), USA, Middle East and India , serving Top IT clients for large volumes ..We are currently hiring for our Reputed client

## Description

Traditional machine learning applications Key responsibilities System architecture & hands-on development
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. Customer & executive stakeholder management
Act as the primary delivery leader for senior customer stakeholders.
Partner with customer executives to define AI roadmaps and transformation initiatives.
Present programme updates, business outcomes, risks and mitigation plans to customer leadership.
Build trusted-adviser relationships with customer executives and key business stakeholders.
Engage regularly with Wipro delivery, account, sales and practice leadership.
Provide accurate executive-level reporting to both Wipro and customer organisations. Team building & talent development
Build and lead high-performing, multidisciplinary AI engineering teams.
Develop talent through hands-on mentoring, peer review, technical coaching and clear engineering standards.
Define the appropriate mix of engineers, researchers, data scientists, architects and platform specialists for each initiative.
Create a culture of ownership, experimentation, learning and disciplined production delivery.
Strengthen technical capability, succession and leadership depth across the team. Required technical profile Engineering leadership