Solutions Engineer — Banking and Capital Markets Enterprise AI is moving from pilots to production, and real-time, event-driven data is becoming a critical foundation. Agents are only as good as what they can sense, trust and act on in the moment. Our client is a global enterprise technology company helping organizations enable intelligent, real-time experiences, modernize their application and integration landscape, and connect complex legacy, cloud and digital environments. This specialist role is designed for an experienced banking or capital markets technologist who wants to move into a commercial, customer-facing position. You may currently be an enterprise architect, solution architect, senior engineer or technology lead. Previous presales experience is not required: the priority is technical depth, industry knowledge and the ability to engage senior stakeholders. You would apply your expertise across multiple financial institutions, staying close to architecture and practical technical evaluations while helping customers shape investment decisions and supporting the sales process. Banking and Capital Markets FocusWe are looking for depth in either of the following areas: Banking transformation and open banking: retail and commercial banking, API-led connectivity, digital customer journeys, payments, fraud, lending, servicing and core banking modernization. Capital markets and investment banking: market data, electronic trading, front-, middle- and back-office integration, intraday risk, post-trade processing, collateral and treasury. Your experience should help you understand how these systems exchange information and the operational consequences of architectural decisions. About the RoleBe a Trusted Advisor Partner with Account Executives to qualify opportunities, shape account strategies and drive deals to closure. Use your banking or capital markets experience to uncover customer challenges, assess architectural options and connect technical decisions with business outcomes. Educate customers on the value of event-driven architecture and agentic AI, helping them develop their real-time data and AI strategy. Guide customers on industry best practices, integration patterns and modernization strategies, including the convergence of event-driven architectures and multi-agent AI systems. Champion Building and Customer Relationships Build and nurture relationships with architects, engineering teams and senior business stakeholders, turning users into advocates. Conduct on-site visits, regular check-ins and discovery sessions to stay aligned with evolving customer needs. Translate platform capabilities into outcomes customers care about, such as more timely payment and fraud information, real-time risk visibility and operational resilience. Technical Validation and Proof of ValueLead demonstrations, proofs of concept (PoCs) and proofs of value (PoVs) that resonate with customer objectives. Architect solutions that showcase the business impact of the event-driven and agentic AI platform within banking and capital markets environments. Own and streamline the evaluation process, guiding prospects through workshops, hands-on trials and technical validations. Evangelize Event-Driven Architecture Apply core EDA concepts and patterns, including publish/subscribe messaging, event sourcing, CQRS (Command Query Responsibility Segregation), event streaming, and choreography versus orchestration, to solve customer architectural challenges. Articulate the business value of EDA to executive and technical audiences, connecting real-time event streaming to reduced time-to-insight, operational resilience, digital transformation and AI applications that use current data. Help customers evolve beyond request/response and batch architectures, connecting established banking systems, APIs, cloud services and newer event-driven applications. Be the Broader Subject Matter ExpertStay ahead of trends in event-driven architecture, agentic AI, cloud computing, messaging and microservices. Engage both technical teams and executive leadership, bridging the gap between technology and business outcomes. Collaboration and Customer Advocacy Provide customer-driven insights to influence product roadmap decisions. Work with Sales, Customer Success, Professional Services, Product and Engineering to ensure customer success. Support new AI product adoption by feeding real-world use cases and objections back to product and go-to-market teams. Travel and On-Site Engagement Expect up to 35% travel, primarily across North America, for customer workshops, sales engagements and industry events.
About You:
Technical and Business AcumenYou understand how real-time event streaming and agentic AI can improve efficiency and responsiveness in financial services. You can connect technical solutions to business challenges, from modernizing middleware and core platforms to enabling real-time banking or trading workflows.
Customer-Centric Mindset:
You build strong, lasting relationships and can earn the confidence of technical and business stakeholders. You're a proactive problem solver who takes ownership and drives initiatives forward.
Smart, Driven and Adaptable:
You thrive in fast-paced environments and actively seek feedback to improve.
You're a clear communicator who tailors your message to technical and business audiences.
You want to develop your commercial skills, contribute to customer decisions and learn how technical evaluations translate into successful sales.
Technical Expertise:- Experience with event-driven architecture, distributed systems, messaging or event streaming platforms such as Kafka, IBM MQ, RabbitMQ, NATS or MQTT brokers.
- Hands-on experience with APIs, microservices and application integration patterns, including connections between legacy systems and modern platforms.
- Familiarity with cloud environments such as AWS, Azure or GCP, and Kubernetes.
- Experience explaining architecture, evaluating technology and presenting recommendations to technical and business stakeholders.
- Exposure to agentic AI frameworks, LLM orchestration or multi-agent systems such as LangChain, Google ADK, CrewAI or AutoGen is valuable. Knowledge of A2A and MCP communication patterns is a strong plus.
- What You Will Bring to the Role
- Required 5+ years in enterprise architecture, solution architecture, software engineering or a comparable technical role within banking or capital markets.
- Specialist understanding of banking/open banking or capital markets use cases and technology stacks, including the demands of operating critical systems in a regulated environment.
- Strong ability to assess technical solutions and communicate their business impact.
- Excellent presentation, communication and relationship-building skills, with experience engaging senior stakeholders.
- A clear motivation to move from a technical role into commercial, customer-facing sales engineering. Previous presales or software sales experience is not required.
- Willingness to travel to customers and events, up to 35%.Preferred
- Experience with event-driven architectures, streaming or messaging middleware.
- Exposure to agentic AI, LLM application development or multi-agent orchestration platforms.
- Programming knowledge in Java, Python, Go or JavaScript.
- Familiarity with enterprise IT environments, including security, networking and compliance considerations.
What Success Looks Like:- In 3 Months
- Deliver technical demonstrations and PoVs for key financial-services prospects.
- Build strong relationships with Account Executives, Solutions Engineering peers and cross-functional teams.
- Develop fluency in the platform's event-driven architecture and AI orchestration capabilities, its differentiation and its relevance to banking and capital markets.
- In 6 MonthsLead multiple successful PoVs and establish yourself as a trusted advisor to customers.
- Influence internal best practices and refine technical sales approaches around agentic AI and event-driven architectures.
- In 12 MonthsPlay a key role in closing multimillion-dollar deals, helping expand the financial-services customer base.
- Drive strategic adoption of event-driven architecture and AI orchestration within banking and capital markets customers.
