Senior Forward Deployed Engineer (AI)

Location: Seattle, United States

Annual base pay: $120,000–$180,000

Company

hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and operate digital applications.

What you will do

• Build and deploy AI tools for software development, including AI-assisted coding, automated code review, test generation, QA automation, and documentation drafting.
• Prototype internal products rapidly, onboard real users, measure outcomes, and harden successful solutions for production.
• Design enterprise AI automation for GTM, RevOps, customer support, quote-to-cash, and other business workflows.
• Build production agentic systems with multi-agent orchestration, tool calling, memory, human-in-the-loop checkpoints, and stateful workflows.
• Architect enterprise RAG systems and establish prompt versioning, evaluation harnesses, CI/CD, observability, and rollback practices.
• Lead integrations across Salesforce, Oracle, ServiceNow, Zendesk, MuleSoft, Workato, and internal APIs while setting engineering standards and mentoring engineers.

Requirements

• 8+ years of software engineering experience, including 3+ years working hands-on with AI/ML systems, LLM applications, or enterprise intelligent automation.
• Expert Python skills, including production-quality code, REST APIs, asynchronous patterns, and reusable framework design.
• Production experience shipping and operating agentic AI and RAG systems, including retrieval strategy, evaluation design, and failure-mode analysis.
• Hands-on Salesforce experience and familiarity with Oracle application stacks and enterprise integration platforms such as MuleSoft, Workato, or Boomi.
• Experience with AWS, GCP, or Azure; Docker/Kubernetes; CI/CD; secrets management; and least-privilege access.
• Working knowledge of GTM, RevOps, and customer experience processes, with the ability to turn ambiguous business needs into technical designs.

Nice to have

• Enterprise-scale Oracle or Salesforce development and architect-level certification.
• LLM security experience, including prompt-injection defense, data-leakage prevention, output filtering, and PII handling.
• ServiceNow or Zendesk AI, AWS serverless and integration services, or secrets-management tools such as HashiCorp Vault and AWS Secrets Manager.
• Experience in platform engineering, shared services, or federated AI operating models.

Culture & Benefits

• Full-time employment within hirify.global’s Customer Experience Organization.
• Work focuses on greenfield development, rapid experimentation, measurable outcomes, and responsible AI.
• Collaboration with Enterprise Architecture, governance boards, senior leaders, and non-technical partners.
• Additional compensation may include incentives, bonuses, restricted stock units, and employee benefits.