Craft & Delivery
Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements, owning architecture decisions and driving solutions from research through production at scale Architect and ship production-grade multi-agent agentic AI systems, including agent orchestration, tool use, memory, and inter-agent communication patterns Design and build with Amazon Bedrock AgentCore and complementary AWS GenAI services to deploy, scale, and operate agentic workloads securely in production Architect scalable cloud-native solutions with a strong bias toward AWS, including multi-cloud and hybrid strategies where needed (AWS primary, with Azure, GCP, Kubernetes as secondary) Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka) Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Bedrock, AgentCore, Vertex AI, MLflow, Hugging Face) Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions) Drive performance, scalability, cost, and reliability optimization across deployed systems Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2) Lead cloud migrations and platform modernization initiatives Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively
Collaboration & Communication
Partner with senior leadership and clients as the principal technical voice on strategy and direction Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities Develop and maintain architecture documentation, standards, and guidelines
Leadership & Influence
Define and champion architectural standards and best practices across the engagements you support, bringing depth on tradeoffs, long-term implications, and responsible AI practices Mentor and grow engineers at all levels, multiplying impact through coaching, code reviews, and pairing on hard problems Own the most difficult architectural, integration, and agentic-system challenges, serving as the senior technical decision-maker and driving them through to production with care for reliability, cost, and safety Evaluate emerging technologies — especially in the agentic AI and AWS ecosystems — and recommend tools, frameworks, and patterns that improve architecture over time
