Technical Lead, AI Engineering
On-siteManchester, England, United Kingdom
Job Summary
Lead and mentor a team of 5-8 AI engineers while driving end-to-end execution of conversational AI, generative, and agentic AI roadmaps. Oversee development of systems that autonomously analyze data, generate insights, and execute planning workflows, establishing engineering best practices including testing strategies and CI/CD pipelines. Own delivery roadmaps by collaborating with product management to prioritize features and manage technical trade-offs, leading sprint planning, design reviews, and retrospectives. Translate architectural vision into executable plans and partner with platform teams to ensure seamless integration with core infrastructure. Communicate progress, risks, and technical decisions to senior leadership and cross-functional stakeholders.
Required Qualifications
- Software engineering experience while leading engineering teams
- Strong hands-on experience building and deploying AI applications in production
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
- Experience with agentic frameworks and autonomous agent architectures
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- Proven track record of delivering complex technical projects on time with high quality
- Strong project management skills with experience using Agile/Scrum methodologies
- Excellent communication and stakeholder management abilities
- Demonstrated ability to mentor engineers and build cohesive, productive teams
Desired Qualifications
- Experience leading teams in fast-growing startups or enterprise software companies
- Knowledge of financial planning, analytics, or business intelligence domains
- Experience with RAG systems, vector databases, and semantic search
- Familiarity with model fine-tuning, evaluation, and continuous improvement workflows
- Background in distributed systems, microservices, or cloud-native architectures
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