AI Tech Lead
Willis Towers Watson2 days ago
Lisbon, PortugalStaff+
Responsibilities
- Lead the technical design of AI initiatives from architecture and prototyping through production deployment.
- Design scalable Generative AI and agentic solutions using RAG, AI agents, prompt engineering, multimodal AI, Microsoft Foundry, and Azure.
- Determine when to use AI, low-code automation, conventional code, or combinations of these approaches.
- Design enterprise data usage with appropriate security and access controls, including Microsoft Fabric and Fabric IQ.
- Create reusable AI blueprints, architecture patterns, components, technical guidelines, and agent-skill libraries.
- Define practices for code quality, testing, evaluation, documentation, deployment, monitoring, and production readiness.
- Own platform foundations including environments, CI/CD, security, and cost control.
- Embed security, Responsible AI, and governance requirements into architecture and development practices.
- Provide technical review and challenge on solution designs, code, and production readiness.
- Advise CoE leadership on feasibility assessments, prioritization, and portfolio planning.
- Explain technical decisions, dependencies, trade-offs, and risks to technical and non-technical stakeholders.
- Mentor engineers and serve as the technical point of reference for complex delivery challenges.
Requirements
- Degree in Computer Science, Computer Engineering, Mathematics, or a related discipline, or equivalent practical experience.
- At least 8 years of experience in software engineering, AI/ML engineering, low-code automation, or solution architecture.
- At least 2 years of hands-on Generative AI delivery and technical leadership at team level.
- Hands-on experience designing and delivering production Generative AI solutions involving LLMs, RAG, AI agents, and evaluation.
- Strong programming skills in Python; C#/.NET, TypeScript, or similar languages are advantageous.
- Experience with cloud platforms, with Microsoft Azure strongly preferred.
- Experience with data engineering and integration, including APIs, event-driven architecture, message queues, databases, and data pipelines.
- Experience defining architecture standards, AI governance, or engineering practices at team or department level.
- Familiarity with secure AI design, Responsible AI practices, and AI risk management.
- Ability to mentor colleagues, promote knowledge sharing, and communicate effectively with senior stakeholders.
- Excellent written and spoken English is mandatory.
- Preferred experience includes Microsoft Foundry, Azure OpenAI, Microsoft Fabric, Fabric IQ, Agent Skills, Power Platform, and Copilot Studio.
- Knowledge of retirement, pensions, or financial services is a plus.
Benefits
- Flexible working hours and hybrid working options are available.
- Competitive performance-related remuneration is offered.
- The role provides global exposure through an international consultancy and renowned clients.
- Career development includes on-the-job learning and specialist training.
- The company offers a collaborative, collegial, and appreciative working environment.
- The role provides direct customer contact, early responsibility, and opportunities to make an impact.
- Employees can participate in corporate events and company celebrations.
Tech Stack
Categories
About Willis Towers Watson
WTW is a global advisory, broking, and software firm serving employers, insurers, and institutional clients across people, risk, and capital. It provides insurance brokerage and risk advisory, employee benefits and pensions consulting, and HR/benefits administration software and analytics. Headquartered in London and listed on NASDAQ (WTW), the company was formed in 2016 via the Willis Group–Towers Watson merger and operates in roughly 140 markets worldwide.