Megazone

Megazone

Sr. AI FDE

Rochester, NY · Senior

Sponsorship not specifiedDetected 43 days ago
JavaScriptTypeScriptPythonJavaGoAWSGCPAzureCloud PlatformsCI/CDSite Reliability EngineeringMachine LearningLLMsRAGAgentic AIAI OrchestrationCybersecurityCustomer SuccessLeadershipCommunicationMentoring

About the role

  • You sit at the intersection of engineering and customer success - rapidly prototyping, integrating with client environments, and owning solutions from proof-of-concept through production and into real, measured adoption.
  • This is an ownership role: you are accountable for outcomes that stick, not just deliverables that ship.
  • WHY YOU'LL LOVE IT HERE - Our Product is Our People: We live by this.

Responsibilities

  • Design, build, and deploy LLM-powered applications - including RAG pipelines, agentic workflows, and orchestration frameworks - integrated with client data stores, APIs, and security controls.
  • Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
  • Lead adoption and change management - build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
  • Mentor engineers during build and deployment
  • Support pursuit teams with solution diagrams, scoping, and engagement estimation.
  • Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.

Requirements

  • Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
  • Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
  • Experience mentoring engineers.
  • Experience architecting data platforms and integrating AI/ML services.
  • Bachelor's degree in Computer Science or similar.
  • If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
  • 8-10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform - AWS or Google Cloud preferred (Azure a plus).
  • Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) - prompt engineering, RAG, and agentic systems.
  • Proven client-facing communication skills - able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
  • Strong grasp of DevSecOps, SRE, and FinOps principles.
  • Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI
  • IAM, networking, model access, and quotas) on AWS and/or Google Cloud - self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
  • Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.

Nice to have

  • AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred)
  • AI/ML specialty certifications a plus.
  • Experience leading technology-adoption or developer-enablement programs is a strong plus.
  • Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred)

Benefits

  • Present technical vision and adoption strategy to C-suite and enterprise architects.

Company info

  • We live by this.
  • We invest in people who invest in themselves.
  • Your growth is our growth.
  • We're moving fast and building new things.
  • We believe mistakes are learning opportunities, not failures.
  • We seek diverse talent who are ready to make an immediate impact.
  • We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives.
  • Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.
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This listing is sourced directly from Megazone's careers page and normalized into a canonical job model.