Sr. Forward Deployed Engineer (AI)

Location: US Remote; candidates must be eligible to work in the US for full-time employment.

Salary: $128,000–$160,000 per year.

Company

hirify.global provides a SaaS digital sales and service platform for U.S. banks and credit unions, including digital banking, onboarding, data, and marketing solutions.

What you will do

• Lead discovery with business and functional stakeholders and translate workflows, goals, constraints, and pain points into requirements, technical designs, implementation plans, acceptance criteria, and measurable outcomes.
• Design, build, test, deploy, and support AI agents, automations, dashboards, data pipelines, integrations, and workflow solutions.
• Apply API-first and integration-focused approaches to connect business applications, systems of record, databases, and internal AI capabilities.
• Own solution lifecycles from prototyping and feasibility testing through production adoption, monitoring, support, and continuous improvement.
• Build reusable connectors, libraries, workflow components, evaluations, guardrails, documentation, and implementation patterns; dedicate approximately 20% of time to the shared AI platform.
• Partner with Product, Engineering, AI and Data, and functional teams; provide technical guidance, training, mentoring, production support, and clear communication to technical, nontechnical, and executive stakeholders.

Requirements

• At least 5 years of related experience in software development, technical implementation, data systems, automation, or a related field, or 3 years with an advanced degree.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• Strong programming skills in Python, TypeScript, JavaScript, Java, C#, or a comparable language, with experience shipping and supporting production software, data systems, or workflow automation.
• Experience translating ambiguous needs from business, functional, customer, or partner stakeholders into technical approaches and measurable outcomes.
• Daily use and a portfolio of AI agents or automations are required; experience must include coding assistants, agent or workflow builders, prompt and tool design, evaluations, human review, safeguards for sensitive data, and validation of AI-assisted outputs.
• At least one production AI or agent-based system must have been shipped, adopted by another team, actively used, supported, and delivering measurable value.
• Knowledge of the software development lifecycle, cloud-native deployment, monitoring, production support, version control, code review, automated testing, and CI/CD.
• Experience with SQL and NoSQL databases, data structures, caching, data quality, data access, and application performance optimization.
• Experience with REST APIs, webhooks, authentication and authorization protocols, business applications, and systems of record.
• Experience developing unit, UI automation, integration, or AI workflow evaluation tests; monitoring production systems, resolving issues, and tracking performance or adoption.
• Ability to work iteratively, deliver value independently, manage dependencies, adapt to changing priorities, and communicate complex technical concepts across functions.
• Ability to participate in production support or an on-call rotation when required.
• Understanding of secure development, access controls, data privacy, operational reliability, accessibility, change management, and responsible AI practices for company, customer, and financial data.

Nice to have

• Experience with SaaS in technology or financial industries, including banking, credit unions, fintech, or another regulated environment.
• Experience in forward-deployed, consulting, implementation, customer engineering, business systems, revenue operations, marketing operations, or another stakeholder-facing technical role.
• Experience deploying applications or integrations on Amazon Web Services using Kubernetes, event-driven services, infrastructure as code, or comparable cloud technologies.
• Experience with modern data warehouses, CRM, customer success, marketing, sales, or conversation-intelligence data and workflows.
• Experience with observability, OpenTelemetry, performance optimization, or operational reliability.
• Working knowledge of MCP or comparable tools for connecting AI systems to business applications, or experience contributing to an internal AI platform, shared engineering foundation, or community of practice.

Culture & Benefits

• Remote-first work environment for US-based roles.
• Unlimited paid time off.
• 401(k) with employer match.
• Diverse and inclusive workplace with a focus on employee growth and development.
• No employment sponsorship is available; full-time candidates must already be eligible to work in the US.