At a Glance
- Tasks: Lead AI development and architect advanced generative AI solutions for a top banking brand.
- Company: Join a renowned banking brand shaping the future of AI in finance.
- Benefits: Remote work, professional development budget, and a clear career path.
- Other info: Enjoy a diverse and inclusive working environment with exciting team-building activities.
- Why this job: Make a real impact in AI while collaborating with a dynamic, international team.
- Qualifications: 8+ years in software engineering, expert Python skills, and experience with generative AI.
The predicted salary is between 80000 - 100000 £ per year.
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:
- 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 an 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
Senior Consultant - Agentic AI Engineer in London employer: Tenarai
Join a leading banking brand that not only shapes the future of AI in finance but also prioritises employee growth and well-being. With a dynamic remote work model spanning the UK and Spain, you'll benefit from a clear career path, access to extensive training resources, and a culture that champions diversity and inclusion. Enjoy team-building activities and charity initiatives while working on cutting-edge projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant - Agentic AI Engineer in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Tenarai. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Consultant - Agentic AI Engineer in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Tenarai.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Tenarai's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Tenarai
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Tenarai.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Tenarai will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Tenarai employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
