Hands-On AI Engineering Lead

Test Triangle; Dunshaughlin; On-site; EUR 150,000 - 230,000; Full time

Job summary

Test Triangle is seeking a Technical Architect of AI Engineering to lead foundational infrastructure and end-to-end delivery of several concurrent AI initiatives. This practitioner-first leadership role blends deep engineering execution with programme leadership, customer influence, and team development.

You will spend ~80% of your time hands-on with production code, architecture, and peer reviews, and ~20% on strategy, mentoring, and governance, ensuring engineering excellence and measurable

Qualifications

• Proven track record as a Principal AI Engineer, Staff Engineer or highly technical Architect.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Hands-on AI engineering

Team leadership

Program management

Customer influence

Tools

Docker

Python

TypeScript

Claude Code

OpenAI Codex

Cursor

Windsurf

Job description

Test Triangle is seeking a Technical Architect of AI Engineering to lead foundational infrastructure and end-to-end delivery of several concurrent AI initiatives. This practitioner-first leadership role blends deep engineering execution with programme leadership, customer influence, and team development.

You will spend ~80% of your time hands-on with production code, architecture, and peer reviews, and ~20% on strategy, mentoring, and governance, ensuring engineering excellence and measurable