Architecture Intern at Gensler participating in design projects and collaboration in a creative studio. Gaining hands - on experience and mentorship opportunities during the internship.
About the role
- Principal Architect responsible for R&D in money and payments systems at the Federal Reserve. Architecting cutting-edge technology for digital currency and payment innovations.
Responsibilities
- Architect high-throughput distributed payment systems with strong consistency guarantees
- Design and implement EVM virtual machine infrastructure with parallel execution capabilities
- Write production-grade Solidity implementing settlement, orchestration, and atomic cross-service composition
- Optimize transaction processing for extreme load through parallelization and intelligent partitioning
- Build cryptographic protocols including zero-knowledge proofs for privacy-preserving validation
- Establish code quality standards and lead reviews across smart contracts, infrastructure, cryptography, and DevOps
- Architect cloud-native platforms with multi-region resilience and horizontal scalability
- Design unified data platforms enabling cross-system analytics and eliminating data silos
- Build Kubernetes-based orchestration with custom operators for distributed applications
- Implement GitOps workflows and Infrastructure as Code
- Create CI/CD pipelines with comprehensive testing, security scanning, and zero-downtime deployments
- Establish observability strategies with distributed tracing, metrics, and real-time alerting
- Translate payment system challenges into AI-native and agentic capabilities that modernize payment workflows and operations
- Design and implement agentic AI systems for autonomous payment orchestration, fraud detection, and real-time decision-making
- Architect AI-enabled payment rails that leverage machine learning for intelligent routing, liquidity optimization, and risk management
- Build agentic commerce capabilities enabling autonomous financial transactions and smart contract execution
- Develop AI systems that enhance payment system resilience through predictive analytics and anomaly detection
- Design multi-agent systems for coordinating complex payment workflows across institutional boundaries
- Drive adoption of AI-assisted programming tools to accelerate development velocity system-wide
- Build AI agents and custom tooling automating code review, testing, documentation, and security scanning
- Establish governance and best practices for responsible AI usage in production systems
- Lead the shift toward AI-enabled software development operations, reducing manual burden and improving code quality
- Create frameworks for AI-assisted development that scale across distributed engineering teams
- Connect AI capabilities to strategic payment system value, ensuring AI delivers measurable business outcomes
- Translate complex technical concepts into business value for executive stakeholders and policymakers
- Synthesize stakeholder pain points into validated AI-native technical solutions
- Mentor engineers across application development, platform engineering, DevOps, and AI implementation
- Lead proof-of-concept development demonstrating feasibility of emerging payment and AI technologies
- Drive cross-functional coordination across business lines, IT, security, and compliance to enable integrated AI delivery.
Requirements
- Deep knowledge of consistency models, concurrency control, transaction parallelization, and deadlock resolution
- Expert Solidity programming, EVM architecture implementation, gas optimization, security auditing, and composable contract design
- Experience implementing zero-knowledge proofs, Merkle trees, digital signatures, and blockchain-agnostic verification protocols
- Experience applying machine learning to financial systems including fraud detection, intelligent routing, risk assessment, or payment optimization
- Understanding of multi-agent architectures, autonomous decision-making systems, and AI orchestration frameworks
- Expert-level Kubernetes including operators and admission controllers; Helm charts; service mesh technologies
- Infrastructure as Code, GitOps workflows, CI/CD pipelines, distributed tracing, metrics
- Demonstrated expertise leveraging AI coding tools and building custom AI agents
- Background in high-performance financial systems with understanding of operational workflows
- Experience identifying and translating business problems into AI-native capabilities
- Understanding of consensus protocols and their trade-offs
- Knowledge of payment system modernization challenges and AI applications in financial services
- Advanced degree in Computer Science, Distributed Systems, Cryptography, Machine Learning, or related field preferred.
- Exceptional ability to communicate technical concepts to non-technical executives and policymakers
- Track record leading cross-functional teams from prototype to production in complex regulated environments
- Experience translating business requirements and operational pain points into technical architectures
- Ability to connect AI innovation to measurable business outcomes and strategic value
- Experience driving organizational transformation and technology adoption at enterprise scale
- Ability to balance innovation with pragmatism, ensuring responsible AI deployment in production systems.
Benefits
- Health insurance
- Retirement benefits
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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