At a Glance
- Tasks: Lead the implementation of AI-driven solutions for global commodity trading clients.
- Company: Join Quoreka, a leader in innovative vendor solutions for metals, energy, and agriculture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with industry experts and tackle complex challenges in a fast-paced setting.
- Why this job: Make a real impact by transforming trading operations with cutting-edge technology.
- Qualifications: 5+ years in software implementation and strong technical skills in Python, Java, or C#.
The predicted salary is between 70000 - 90000 £ per year.
Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture. Catering to a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E-Sourcing products. Today, we boast extensive CTRM/ETRM expertise across softs, ags, fertilizers/chemicals, liquids, precious metals, concentrates, energy, and much more.
Quoreka is able to provide the industry with a very unique offering that meets the growing demands of commodity traders, energy merchants, miners, industrials, and producers, providing best-in-class functionality, user experience, technology, and services. Our product roadmap is innovation-centric, focusing on AI and delivering strong product value propositions with clear short-term, medium-term, and long-term goals. Quoreka has over 200 employees and offices across the UK, India, Australia, Switzerland, and Canada, serving 100 customers globally across multiple commodity segments.
Backed by deep commodities expertise and modern technology, Quoreka combines operational depth with customer-centric design to help clients build more resilient, agile, and intelligent trading operations. As commodity markets evolve through increased volatility, automation, AI, and digital transformation, we are redefining how commodity trading platforms are implemented, integrated, and scaled across global enterprises.
We are seeking an Implementation Engineering Lead to help transform how Quoreka delivers software solutions to global commodity trading clients. This is a highly strategic, client-facing role that sits at the intersection of technology, implementation delivery, customer partnership, product feedback, deployment modernization, and AI-driven operational improvement. You will work directly with executive stakeholders, traders, operations teams, risk managers, and client IT organizations to design, deploy, customize, and optimize complex trading and risk management solutions. Internally, you will partner closely with Product, Engineering, Services, Support, and executive leadership to modernize deployment methodologies, improve scalability, accelerate delivery timelines, and enhance the overall customer experience.
This opportunity is ideal for someone who enjoys solving complex operational challenges, building trusted client relationships, and driving meaningful technical transformation in fast-moving, real-world trading environments.
Roles & Responsibilities
- Serve as a trusted advisor and primary technical engagement lead for enterprise commodity trading clients.
- Build strong relationships with executive sponsors, business stakeholders, trading teams, operations teams, and IT leadership.
- Learn and evaluate existing deployment, customization, and support methodologies.
- Identify opportunities to automate and streamline implementation workflows.
- Introduce scalable approaches leveraging scripting, AI, automation, and modern deployment tooling.
- Translate complex business workflows into scalable technical solutions.
- Lead discovery workshops, requirements gathering sessions, and solution design discussions.
- Design integrations, workflows, data flows, and client-specific technical architectures.
- Coordinate implementation roadmaps, deployment timelines, and delivery milestones.
- Partner closely with Product and Engineering teams to provide customer-driven product feedback and enhancement recommendations.
- Oversee testing cycles, UAT coordination, production readiness, and go-live execution.
- Ensure successful customer adoption and knowledge transfer.
Experience & Skillsets
Must Haves
- 5+ years of experience in enterprise software implementation, technical consulting, solutions engineering, or client delivery leadership.
- Strong technical foundation with experience in Python, Java, C#, or C++.
- Strong understanding of SQL, relational databases, and data validation workflows.
- Experience translating business requirements into scalable technical solutions.
- Excellent client communication and stakeholder management skills.
- Ability to lead complex customer engagements across technical and business audiences.
- Strong project leadership and organizational skills.
- Comfortable operating in fast-moving, evolving environments.
- Ability to work cross-functionally across Product, Engineering, Services, and Support organizations.
Good to Have
- ERP or enterprise systems integration experience.
- Experience with automation tooling and deployment scripting.
- Exposure to AI-enabled operational workflows.
- Commodity trading, risk management, or energy trading experience.
- CTRM or ETRM platform experience.
Why Choose Quoreka
Quoreka brings together deep commodities expertise, modern technology, and a customer-first mindset to help organizations navigate increasingly complex global markets. As we continue evolving how commodity trading platforms are deployed, integrated, and supported, this role offers the opportunity to work on complex, high-impact challenges alongside experienced industry and technology leaders. If you enjoy combining technical depth, customer partnership, and operational problem-solving in fast-moving trading environments, we’d love to speak with you.
Lead Implementation Engineer for AI-Driven Deployments employer: Quoreka
Quoreka is an exceptional employer that fosters a dynamic work culture centred on innovation and collaboration, making it an ideal place for professionals eager to tackle complex challenges in the commodity trading sector. With a strong emphasis on employee growth, Quoreka offers extensive training opportunities and encourages team members to engage with cutting-edge AI technologies, ensuring they remain at the forefront of industry advancements. Located in a vibrant market, employees benefit from a supportive environment that values their contributions and promotes a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Implementation Engineer for AI-Driven Deployments
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by researching Quoreka and its products. Understand their AI-driven solutions and how they impact commodity trading. This will help you stand out as someone who’s genuinely interested in the company and its mission.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in implementation engineering can solve real-world problems for Quoreka's clients. Tailor your examples to show how you can enhance their deployment methodologies and customer experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Quoreka team and contributing to our innovative projects.
We think you need these skills to ace Lead Implementation Engineer for AI-Driven Deployments
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Implementation Engineer role. Highlight your technical expertise in Python, Java, or C#, and any relevant experience in enterprise software implementation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI-driven deployments and how your background makes you a great fit for Quoreka. Be sure to mention your experience with client engagement and project leadership.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex operational challenges in the past. We want to see your ability to translate business requirements into scalable technical solutions.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
How to prepare for a job interview at Quoreka
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Java, and SQL. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects.
✨Understand the Commodity Trading Landscape
Familiarise yourself with the commodity trading market, especially the challenges and trends in sectors like metals, energy, and agriculture. This will help you speak confidently about how your skills can address real-world issues faced by clients.
✨Prepare for Client-Facing Scenarios
Since this role involves building relationships with executive sponsors and stakeholders, think of examples where you've successfully managed client engagements. Be ready to discuss how you’ve navigated complex conversations and delivered value.
✨Showcase Your Problem-Solving Skills
Be prepared to share specific instances where you've tackled operational challenges or improved implementation workflows. Highlight any experience with automation and AI, as these are key to modernising deployment methodologies.
