Architect, design, and deliver AWS cloud-native solutions across AI/ML capabilities and enterprise business applications
Lead the implementation of Generative AI solutions, including retrieval-augmented generation (RAG), agentic workflows, and LLM-integrated systems
Drive adoption of AI-augmented development practices, including design acceleration, code generation and review, test automation, and debugging
Serve as the primary technical authority for assigned capabilities, making architectural decisions across APIs, data platforms, frontend, infrastructure, and AI tooling
Lead technical delivery across onshore and offshore contractor teams, ensuring predictable planning, execution quality, and delivery outcomes
Mentor and coach engineers through hands-on guidance, pair programming, code reviews, and knowledge sharing
Partner with data science, business, quality, and regulatory stakeholders to align architecture and delivery with program milestones and compliance needs
Prototype and validate new capabilities, particularly Generative AI features, to reduce risk before broader team investment
Define and execute a technical roadmap aligned with business priorities and R&D Information Systems strategy
Oversee production reliability, operational support, and continuous improvement across DevOps and engineering practices

BA/BS with at least 8 years of experience, MA/MS/MBA with at least 6 years of experience, OR PhD with at least 2 years of experience
Strong experience in architecture and system design for scalable, cloud-native applications
Demonstrated ability to provide cross-functional technical leadership and own delivery outcomes
Practical experience using AI-powered development tools to accelerate design, implementation, and troubleshooting
Working knowledge of Generative AI concepts, including LLMs, prompt and context engineering, and agent-based systems
Experience with AI orchestration frameworks, such as LangChain, or the ability to ramp up quickly
Strong Python development skills, including REST APIs (FastAPI), asynchronous programming, and testing
Experience with modern frontend frameworks, such as React, including component architecture and state management
Experience with relational and NoSQL databases, including schema design, query development, and performance tuning
Strong AWS experience, including ECS or EKS, Lambda, S3, DynamoDB, RDS, and SQS
Experience with infrastructure as code (Terraform), CI/CD (GitHub Actions), containers (Docker and Kubernetes), and cloud security fundamentals
Proven experience leading contractor or vendor engineering teams while remaining hands-on
Ability to communicate technical decisions clearly to both technical and non-technical stakeholders.

Discretionary annual bonus
Discretionary stock-based long-term incentives (eligibility may vary based on role)
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Senior Architect, Intelligent Solutions Engineering

Key skills