Senior Solutions Architect
Robots and Pencils1 day ago
Remote, United StatesSenior
Responsibilities
- Serve as the primary AWS AI architecture partner for strategic clients from discovery through production.
- Design generative AI, agentic AI, RAG, Agentic RAG, and multi-agent architectures using AWS-native services.
- Produce reference architectures, architecture decision records, and implementation roadmaps aligned with business objectives.
- Validate designs through hands-on Python prototyping with Bedrock SDKs, SageMaker, and serverless services.
- Own architectural integrity, security, reliability, performance, cost optimization, governance, and compliance throughout delivery.
- Develop reusable AWS accelerators, Infrastructure as Code, and CI/CD automation.
- Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams.
- Establish AWS MLOps, lifecycle management, monitoring, observability, responsible AI, and Bedrock Guardrails practices.
- Mentor engineers and guide tradeoffs involving models, latency, cost, privacy, compliance, and operational complexity.
- Partner with product, engineering, research, customer success, clients, and executive stakeholders, including in pre-sales engagements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership.
- Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services.
- Strong familiarity with SageMaker training, deployment, pipelines, deep learning fundamentals, and model fine-tuning strategies.
- Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services.
- Strong knowledge of distributed systems, event-driven architectures, and serverless patterns.
- Proficiency with AWS CDK, CloudFormation, and Terraform.
- Hands-on development capability in Python and AWS SDKs.
- Experience implementing observability and monitoring strategies in AWS environments.
- Proven success leading enterprise-scale AWS transformations and communicating with technical and executive audiences.
- AWS Professional Certifications are highly preferred.
- Nice-to-have qualifications include AWS Specialty certifications, advanced agentic reasoning patterns, secure multi-account AWS organizations with Control Tower, data engineering services, and consulting or professional services experience.
Benefits
- The role offers the opportunity to shape enterprise-scale generative and agentic AI platforms, mentor teams, influence the AWS AI practice, and deliver measurable business value.
- The posting describes collaboration across distributed teams and client stakeholders across North America.