Forward Deployed Engineer (AI & Agentforce)

Location: Remote - United States; based in North America and aligned with regional client operational schedules.

Company

hirify.global, part of Accenture, develops AI, AWS, Salesforce, and Agentforce solutions that improve business workflows and customer experiences.

What you will do

• Rapidly build Agentforce-powered solutions, including subagents, deterministic guardrails, dynamic actions, and foundational data models.
• Lead technical client engagements, demonstrate progress, gather feedback, define scope boundaries, and drive iteration.
• Connect technical designs to business metrics such as deflection, handle duration, operating expenses, and user sentiment.
• Identify integration constraints, architecture limits, delivery bottlenecks, and stakeholder misalignment.
• Troubleshoot dialogue flows, execution bugs, and system logic in real time under tight deadlines.
• Create reusable solution accelerators, demonstration assets, and internal knowledge resources.

Requirements

• 4+ years of experience executing technical solutions, consulting, or solution engineering in client-facing environments.
• 2+ years of hands-on experience with Agentforce, Service Cloud, or comparable agentic AI architectures.
• Active Salesforce accreditations, including Agentforce Specialist, Platform Developer I, or System Administrator credentials.
• Experience with rapid prototyping and real-time troubleshooting using Flows, Apex, or agent execution traces.
• Strong understanding of enterprise architecture, integration patterns, data models, and platform boundaries.
• Ability to explain technical trade-offs to executive stakeholders and connect solutions to operational metrics.

Nice to have

• Experience with competitive bake-offs, proof-of-value prototypes, or AI pre-sales engagements.
• Expertise in Service Cloud Voice, Amazon Connect, Genesys, or NICE.
• Familiarity with Amazon Bedrock, Google Vertex AI, or LLM orchestration frameworks.
• Experience with Salesforce Data 360, Snowflake, Databricks, or BigQuery.

Culture & Benefits

• Remote and in-person work options are supported across the organization.
• Flexible scheduling focused on outcomes rather than fixed working hours.
• Collaborative environment with opportunities to contribute suggestions directly to leadership.
• Some roles may include travel of up to 25%.

Hiring process

• 30-minute recruiter phone screen.
• 45-minute peer video interview followed by a 60-minute panel interview with a live solution exercise.
• 45-minute leadership video interview.