Join our Team About This Opportunity Join our Mobile Financial Services (MFS) team within Ericsson's Fintech unit and be at the forefront of transforming how people transact globally. We deliver innovation through platforms like the Ericsson Wallet Platform (EWP), empowering financial inclusion and digital transformation. In this role, you will be part of a high-energy, diverse, and forward-thinking team that is shaping the future of mobile payments. As a Solution Architect, you will lead the end-to-end design and deployment of the Ericsson Wallet Platform and related integrations. You will translate business requirements into robust technical solutions, ensuring seamless multi-vendor integration and exceptional performance in high-volume transaction environments. This role demands deep technical expertise, a strong grasp of fintech ecosystems, and outstanding customer engagement skills. What You Will Do - Own the architecture, high-level design (HLD), and low-level design (LLD) for mobile wallet deployments and integrations. - Ensure successful implementation and delivery of EWP and associated nodes, as per agreed scope. - Engage daily with customers to capture evolving requirements and translate them into solution designs. - Integrate the EWP with multiple third-party systems (USSD, SMSC, Service Delivery Platform, Banks, etc.). - Design and document solutions in complex, multi-vendor system landscapes. - Write and execute acceptance tests, securing customer sign-off. - Provide architectural leadership in technology strategy discussions with clients. - Contribute to business case modeling and proposal preparation. - Mentor teams and cultivate expertise in new technology areas. - Propose innovative enhancements to expand Ericsson's MFS services and market reach. What You Bring - Bachelor's in Engineering (Master's or equivalent experience preferred). - 8-12 years' experience in fintech solution architecture, with proven delivery of complex deployments. - Hands-on expertise in HLD, LLD, and design documentation. - Proven experience deploying solutions in public cloud environments. - Strong skills in Kubernetes, Docker, UNIX/Linux, clustering, Oracle, MySQL, XML APIs, IP networking, and client-server architectures. - Mobile Financial Services (MFS) and digital wallet architecture - Mobile money ecosystems - Payment transaction flows (P2P, merchant payments, airtime top-ups, cash-in/cash-out, bill payments) - Experience with Ericsson monetization solutions (charging, billing) is a plus. - Knowledge of CRM, digital front-end, omni-channel platforms, and enterprise architecture. - Ability to engage with C-level stakeholders and influence technology decisions. - Awareness of fintech trends and ability to translate them into new business opportunities. - Strong leadership, communication, and presentation skills. - High accountability, autonomy, and ability to lead in fast-paced, matrixed environments. - Understanding of commercial models, contract management, and sales processes. Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Egypt (EG) || Cairo Req ID: 780833

Role Description Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. - Mapping decisions with requirements and be able to translate the same to developers. - Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. - Defining guidelines and benchmarks for NFR considerations during project implementation. - Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. - Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. - Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. - Understanding and relating technology integration scenarios and applying these learnings in projects. - Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. - Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Requirements - Total experience: 13+ Years - Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. - Strong experience in AI/ML solution design, translating business use-cases into AI approach (LLM vs classical ML), defining success metrics, evaluation plans, and end-to-end architecture (data, model, serving). - Experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure. - Proficiency in programming languages such as Python, Dotnet, JAVA, and experience with data manipulation libraries (e.g., Pandas, NumPy). - Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. - Experience in cloud & deployment, scalable inference (batch/real-time), GPUs basics, cost/latency tradeoffs, security/privacy (PII), access control, and compliant data handling. - Experience in large scale system design, API-first design, frontend & backend programming, and mentoring teams on best practices. - Experience in databases like SQL, MySQL, Oracle. - Understanding of MLOps and at least one deployment using some of the following technologies: MLflow, Kubeflow, Docker, Kubernetes, model deployment pipelines. - Experience in designing, developing, and deploying AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration. - Strong understanding of LLMs and foundation models with expertise in designing and building prompts for prompt development and templates. - Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. - Excellent problem-solving skills, with a creative and analytical mindset. - Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. - Experience with AI ethics and responsible AI practices. Benefits

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. • Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. • Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. • Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions. • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. • Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. • Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role will be based remotely in Germany. As an ideal candidate, you will have: - 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role - Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity - Experience implementing scalable and highly available distributed systems in the cloud and on-prem - Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology - Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. - Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle. - The ability to travel up to 25% - A Bachelor’s degree or equivalent work experience You may also have: - Experience developing, deploying, or supporting applications with any of the major cloud providers - Experience working in a technical pre-sales capacity - Experience with database programming and data models - Experience in data engineering or AI/ML projects - Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message - A MongoDB Certification - A Cloud Provider Certification What you do at MongoDB:In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will: - Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB - Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders - Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) - Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events - Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction - Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members - Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends What you will learn:MongoDB Product Suite Mastery: - Core Database Server: Master the fundamentals and advanced features of MongoDB's core database - Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts - Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies: - Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms - Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Modern Architecture Design: - Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security - Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space Sales Techniques and Soft Skills: - Effective Communication: Master presentations, demonstrations, and whiteboarding - Client Interaction: Develop strategies for discovery and objection handling Industry Insights: - Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426330