Sr. AI FDE
Megazone Cloud US23 days ago
Base Salary
$145k - $165k/yr
Responsibilities
- Embed with customer teams to translate business problems into production AI architectures spanning models, data, applications, and operations.
- Design, build, deploy, and iterate LLM-powered applications, RAG pipelines, agentic workflows, and orchestration frameworks.
- Configure AWS and Google Cloud AI environments, including Amazon Bedrock, SageMaker, Google Vertex AI, IAM roles, networking, model access, and service quotas.
- Drive secure enterprise adoption of Anthropic Claude Code, OpenAI Codex, and AWS Kiro, including identity isolation, SDLC integration, CI/CD integration, and developer enablement.
- Lead technology adoption and change management through golden-path templates, enablement assets, and team workflows.
- Define and instrument adoption, business-impact, and ROI metrics, and iterate post-launch to achieve targets.
- Create proofs of concept, production systems, reusable accelerators, reference implementations, and AI delivery harnesses.
- Apply shift-left security, responsible AI, FinOps, token-cost, and model-routing practices.
- Mentor engineers and troubleshoot issues across model, infrastructure, application, and data layers.
- Serve as a go-live and hyper-care escalation point, support pursuit teams with solution diagrams and estimates, and present technical strategies to executives and enterprise architects.
- Publish blog posts, white papers, and internal knowledge articles.
Requirements
- 8–10+ years of experience engineering production software.
- Hands-on experience building applications on AWS or Google Cloud; Azure experience is a plus.
- Demonstrated experience with LLMs such as Anthropic Claude, OpenAI, or Gemini, including prompt engineering, RAG, and agentic systems.
- Hands-on experience with agentic coding tools such as Claude Code, Codex, or Kiro and rolling them out across engineering organizations.
- Proficiency in Python and at least one additional language such as TypeScript/JavaScript, Java, or Go.
- Proven client-facing communication skills and the ability to defend architecture and model decisions with executives and engineers.
- Experience mentoring engineers and leading technology-adoption or developer-enablement programs is preferred.
- Strong understanding of DevSecOps, SRE, and FinOps principles.
- Experience architecting data platforms and integrating AI/ML services.
- Ability to independently configure cloud AI services and supporting resources on AWS and/or Google Cloud.
- Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
- Bachelor’s degree in Computer Science or a similar field.
- One of AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert certifications is required; multiple certifications and AI/ML specialty certifications are preferred.
Benefits
- The company invests in employee growth and development.
- Servant leadership, a flat organization, and opportunities for direct technical and client impact are emphasized.
- The company provides a learning-oriented culture where mistakes are treated as learning opportunities.
- Megazone Cloud is an equal opportunity employer and participates in E-Verify.
Tech Stack
Categories
Forward Deployed
About Megazone Cloud US
Megazone Cloud US provides cloud and AI consulting, implementation, and managed services to enterprises adopting AWS and Google Cloud, along with data platforms like Databricks and Snowflake. The team delivers application modernization, cloud migrations, analytics, and contact center solutions, and helps productionize services such as Amazon Bedrock, SageMaker, and Google Vertex AI. Based in Fairport, New York, it operates as the U.S. arm of MegazoneCloud’s global organization serving clients across North America and Asia.