Sr. AI FDE

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. AI FDE Rochester, NY, Rochester, New York, United States Job Description At MegazoneCloud, we help the world's most innovative companies adopt AI that actually delivers - not pilots that stall, but production systems that get used. As an AI Forward Deployed Engineer (FDE) , you embed directly with global clients to drive the adoption of leading AI platforms and agentic developer tooling: generative and agentic AI solutions on AWS and Google Cloud, and agentic coding tools from Anthropic (Claude Code), OpenAI (Codex), and AWS (Kiro). 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. You'll apply best-practice automation - infrastructure as code (IaC), CI/CD, and DevSecOps - to deliver AI workloads that meet demanding performance, security, and cost-efficiency targets. Key Responsibilities • Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations - owning the outcome end to end. • Design, build, and deploy LLM-powered applications - including RAG pipelines, agentic workflows, and orchestration frameworks - integrated with client data stores, APIs, and security controls. • Stand up the AWS and Google Cloud environments needed for AI services - enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering

Read the full description at jobs.ashbyhq.com. FewerJobs shows a source-linked preview and links to the original posting.