Business Developer – Strategy & Finance

ServiceNow Developer– Business Continuity Management (BCM) At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent Sweden is growing its ServiceNow resilience team to deliver a Business Continuity Management (BCM) modernization programme for a leading Nordic bank. We are seeking a motivated Junior ServiceNow Developer to help build and test a new ServiceNow-based BCM solution — configuring out-of-the-box capabilities, supporting data migration and validation, and developing reporting under the guidance of senior architects and specialists. This is an excellent opportunity for an early-career developer to grow on a large-scale platform migration, gain ServiceNow certifications, and work within a joint client delivery team in a hybrid-agile setup. In this role you will play a key role in: Configure ServiceNow BCM/IRM out-of-the-box capabilities and implement approved customizations aligned to agreed requirements. Support data migration from the legacy platform to ServiceNow — assisting with cleansing, transformation, loading, and reconciliation/dual-run validation per object. Help build reporting and dashboards, and support quality checks on migrated BIA, risk and BCM-plan data. Participate in System Integration Testing (SIT) and Business Acceptance Testing (BAT); document results and support defect fixes. Contribute to supporting documentation, training materials and handover artefacts. Work within an agile team, taking direction from the Solution Architect and Application Specialists, and continuously build your ServiceNow skills. Your Profile A degree in computer science, information systems, engineering or a related field — or equivalent practical experience. Some hands-on exposure to ServiceNow (internship, academic project, or early professional experience) and an eagerness to specialize in the platform. Understanding of banking operations, regulatory frameworks, and compliance requirements within financial services. Relevant certifications related to banking, risk management, operational resilience, or regulatory compliance are highly desirable. Foundational knowledge of JavaScript, web technologies, and relational data concepts. Familiarity with, or willingness to quickly learn, ServiceNow scripting, Flow Designer, forms and workflows. ServiceNow Certified System Administrator (CSA) is a plus, or a commitment to achieve it early in the role (we will support certification). Strong attention to detail, a collaborative mindset, and good problem-solving skills. Fluent English is required; Swedish or another Nordic language is an advantage. Willingness to work on-site in Stockholm as required. What You’ll Love About Working Here A structured path into enterprise ServiceNow delivery, with mentoring from experienced architects and specialists. Funded ServiceNow certifications and access to Capgemini's global learning ecosystem and capability communities.Innovation at Scale: Work with cutting-edge technologies and strategies to solve complex industry challenges. Career Growth: Access world-class training, mentorship, and opportunities to accelerate your professional development. Collaborative Culture: Join a diverse, inclusive team that values creativity, curiosity, and bold ideas. Purpose-Driven Projects: Help clients build sustainable, customer-centric solutions that make a real difference. Need To Know Location: In line with our trust-based culture, Capgemini Invent offers a hybrid working model, and for this role you will be based in our attractively located office in Stockholm, with readiness to travel to our clients’ sites when needed. As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required. Sounds like the next step in your career? We review applications on an ongoing basis and encourage you to apply as soon as possible! Please submit your application and CV in English. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry.

TL;DR → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands. → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product. A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling. Who you are You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included. You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it. You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity. What you bring Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills. About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.