Lead Solution Architect with Financial Services Experience- AI & Engineering/EaaS

Lead Architect

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 9/30/2026.

Work you'll do:

• Architect and Design: assist in the design and development of enterprise-grade application architecture applications and platforms, with a focus on scaling for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
• Support modernization efforts across clients' services capabilities working with a highly matrixed collaborative environment, working as a valued member of a cohesive architecture and development team.

• Assist in the design and deployment of applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
• Assist in the management and delivery components of client engagements that identify, design, and implement technology and creative business solutions for large companies.
• Responsibilities include, among others, managing small teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
• Assisting clients with application architecture design, assessment and optimization including definition, documentation and implementation of new application architectures
• Review and evaluation of key attributes of existing application architectures
• Assist in the recommendation of improvements to existing Application Architectures

Required Qualifications

• Bachelor's degree in computer science or engineering, or a related technical field with a strong foundation in development (Java or .NET) with early experience as a full stack developer.
• 8+ years' experience as a Solution Architect, with a strong focus on application development and scaling solutions for production environments working with financial services clients.
• 8+ years of experience with on-prem to AWS Cloud migration/integration which should include migration patterns (auth, middleware, data stores, event patterns, caching, telemetry); serverless patterns; data migration
• 6+ years providing hands-on technical assistance to the delivery team, reviewing designs and code for architectural fit, monitoring engineers and serving as the primary technical liaison between business stakeholders and engineering.
• 8+ years working on large-scale engagements as a Solution Architect in industry or in consulting.
• Experience working as part of a large collaborative team.
• Hands-on experience in Java, Python, or .NET.
• Experience managing small on and offshore teams.
• 1+ years' experience designing and delivering production-grade AI solutions such as LLM applications, RAG systems, agentic workflows, intelligent automation or ML-enabled products.
• Hands-on software engineering capability in Python and/or a modern full-stack capability.
• Experience owning the end-to-end solution architecture which includes defining integration patterns, data flows, and technical design decisions across systems.
• Experience driving the technical delivery on-site (not remotely), translating business requirements into detailed technical designs, sequencing work across integration and data layers, ensuring the solution is built to spec from design to deployment.
• Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
• Familiarity with various hyperscaler tools and services.
• Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
• Experience working closely with the functional and testing teams to understand their requirements gauging the impact to the application architecture.
• Experience leading the configuration and change management teams responsible for application deployments including the coordination of database changes and other necessary application configurations.
• 3+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions or Jenkins.
• 6bility to travel up to 50% nationally based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Preferred Qualifications:

• Experience with architecture design patterns such as MVP or MVC, Gang of Four, etc.
• Experience with JQuery, JavaScript and common JavaScript Patterns
• Experience or passion for implementing cloud solutions on Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform
• Experience with Anthropic Claude, OpenAI-compatible APIs, enterprise

• Master's degree in computer science or engineering.
• Hands-on experience in Java, Python or .NET