Senior Consultant - Agentic AI Engineer
Posted 3 days ago by Tenarai
Negotiable
Undetermined
Remote
Greater London, England, United Kingdom
Summary: The Senior Consultant - Agentic AI Engineer will play a pivotal role in transforming the data infrastructure of a leading banking brand by migrating from a legacy ETL platform to a modern AWS Glue and PySpark environment. This position requires expertise in generative AI and advanced software engineering, focusing on the development and deployment of autonomous AI workflows. The role is remote and involves collaboration with teams across the UK and Spain, emphasizing technical leadership and project delivery. Candidates should have extensive experience in AI/ML development and a strong background in Python programming.
Key Responsibilities:
- Architect and implement advanced Generative AI solutions, focusing on Claude API integration and LLM orchestration.
- Design and deploy agentic AI patterns for autonomous reasoning and execution.
- Drive the full lifecycle development of complex AI/ML systems.
- Write, test, and optimize production-ready Python code.
- Architect and maintain distributed systems and microservices for large-scale data processing.
- Implement error handling, monitoring, and resilience protocols for AI systems.
- Resolve complex technical challenges through deep debugging expertise.
- Lead and mentor AI/ML engineering teams, ensuring quality standards.
- Oversee technical project execution and ensure timely delivery.
- Produce clear technical documentation and communicate architectural decisions.
- Collaborate with cross-functional teams to align engineering efforts with business goals.
Key Skills:
- 8+ years in software engineering and AI/ML development.
- 5+ years with generative AI, LLMs, or Claude API.
- 4+ years leading AI/ML engineering teams or projects.
- Expert-level Python development skills.
- 3+ years with PySpark and distributed computing.
- Expert-level Claude API integration and LLM development.
- Deep expertise in agentic AI patterns and orchestration.
- Strong understanding of error handling, resilience, and monitoring.
- Experience with large-scale data processing.
- Proven ability to mentor junior engineers and strong communication skills.
Salary (Rate): undetermined
City: Greater London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Project info: Ready to shape the future of AI in finance? We’re looking for a talented Senior Consultant - Agentic AI Engineer to join one of the world's most renowned banking brands. Serving over 100 million customers across diverse businesses, you'll be a key player on a dynamic, remote team spanning the UK and Spain. This project governs the large-scale legacy migration and modernization of data infrastructure. The primary objective is to convert their legacy Ab Initio ETL (Extract, Transform, Load) platform to a modern, cloud-native AWS Glue and PySpark environment. To accelerate this migration and optimize code generation, the team will leverage advanced generative AI patterns, specifically incorporating Claude Code and agentic/multi-agent workflows to automate and validate pipeline conversions.
Responsibilities:
- AI & Generative AI Development Lead LLM Integration: Architect and implement advanced Generative AI solutions, serving as the primary expert for seamless Claude API integration and LLM orchestration.
- Build Agentic Workflows: Design and deploy sophisticated agentic AI patterns, enabling autonomous, multi-step AI reasoning and execution within enterprise applications.
- End-to-End AI Delivery: Drive the full lifecycle development of complex AI/ML systems, building on a track record of successfully bringing production-grade AI solutions to market.
- Software Engineering & Architecture Production-Grade Python Coding: Write, test, and optimize highly performant, production-ready code using expert-level Python, applying advanced design patterns and rigorous testing methodologies.
- Distributed Systems & Big Data: Architect and maintain distributed systems and microservices, executing large-scale data processing pipelines (managing 1,000+ jobs) utilizing PySpark and distributed computing frameworks.
- System Resilience: Implement robust error handling, comprehensive monitoring, and resilience protocols to ensure the continuous, reliable operation of high-availability AI systems.
- Complex Debugging: Act as the ultimate escalation point for complex technical challenges, applying deep debugging expertise to resolve system issues efficiently.
- Leadership & Team Collaboration Technical Leadership: Lead, direct, and mentor AI/ML engineering teams, setting quality standards and fostering a culture of technical excellence.
- Project Delivery: Oversee technical project execution, ensuring milestones are met on time and within strict quality standards, even under pressure.
- Documentation & Communication: Produce clear, comprehensive technical documentation and communicate complex architectural decisions to both technical teams and wider stakeholders.
- Cross-Functional Collaboration: Operate as a highly collaborative team player, aligning engineering efforts with broader business and product goals.
Job requirements:
- 8+ years in software engineering and AI/ML development
- 5+ years with generative AI, LLMs, or Claude API (hands-on development)
- 4+ years leading AI/ML engineering teams or projects
- Expert-level Python development (production-grade code)
- 3+ years with PySpark and distributed computing
- Technical Expertise: Expert-level Claude API integration and LLM development
- Deep expertise in agentic AI patterns and orchestration
- Strong Python development skills (design patterns, testing, optimization)
- Experience with distributed systems and microservices
- Understanding of error handling, resilience, and monitoring
Project Experience:
- Led development of at least 2 production AI/ML systems
- Experience with large-scale data processing (1,000+ jobs or equivalent)
- Track record of delivering on-time and within quality standards
Leadership & Soft Skills:
- Proven ability to mentor junior engineers
- Strong communication and documentation skills
- Problem-solving and debugging expertise
- Ability to work under pressure and meet deadlines
- Collaborative team player
Benefits:
- General benefits: Remote work model
- Referral program with financial bonus
- Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment
- Access to internal Learning Platform with multiple trainings oriented for professional growth
- Lifestyle benefits: Team Building activities
- Charity initiatives
- Working environment promoting diversity and inclusion