Forward Deployed Engineer, AI & Agentforce

Overview

Join NeuraFlash's AI acceleration team as a Forward Deployed Engineer to drive client-facing Agentforce-powered engagements, focused on rapid execution through competitive bake-offs, fast prototypes and art-of-the-possible demos.

What you'll do

• Partner with organizations evaluating Agentforce alongside other AI architectures, constructing dynamic agents within tight project cycles and incorporating feedback in real time.
• Rapidly engineer functional proof-of-value implementations to confirm technical feasibility prior to broader deployment commitments.
• Architect innovative, unprompted agentic solutions to demonstrate platform capabilities to prospective stakeholders.
• Lead and own the technical design, continuous tuning and direct customer interactions, working alongside a Pursuit Architect responsible for qualification, executive alignment and commercial scope.
• Rapidly construct agentic solutions within client environments, including subagents, deterministic guardrails, dynamic actions and foundational data models.
• Lead recurring technical client engagements as the primary touchpoint, demonstrating progress, incorporating real-time feedback, delineating scope boundaries and driving iteration.
• Connect technical delivery to strategic business metrics such as deflection, handle duration, operational expenses and user sentiment when presenting to leadership and non-technical stakeholders.
• Proactively identify delivery bottlenecks, integration constraints, architecture limits or stakeholder misalignment, raising visibility early against aggressive milestone schedules.
• Perform real-time troubleshooting and optimization to resolve dialogue flow failures, execution bugs and system logic issues.
• Deliver authoritative live interactive demonstrations of complex Agentforce solutions.
• Convert technical insights from client implementations into reusable solution accelerators, demonstration assets and internal knowledge bases.

What you'll need

• 4+ years executing technical solutions, consulting or solution engineering in client-facing environments.
• Direct engagement with key stakeholders during critical decision moments.
• 2+ years of hands-on experience building with Agentforce, Service Cloud or comparable agentic AI architectures.
• Active Salesforce accreditations, including Agentforce Specialist, Platform Developer I or System Administrator credentials.
• Ability to perform rapid prototyping and real-time troubleshooting, including analyzing Flows, Apex or agent execution traces to pinpoint root causes.
• Strong grasp of enterprise architectural principles, including integration patterns, data models and platform boundaries.
• Skill in translating complex technical trade-offs into executive-level business impact.
• Commitment to leveraging modern AI tooling, such as Claude, to multiply efficiency.
• Comfort operating within rapid, evolving environments under condensed timelines.

Nice to have

• Demonstrated background leading fast-paced competitive bake-offs, proof-of-value prototypes or pre-sales engagements within the AI landscape.
• Deep expertise in telephony and voice integration platforms such as Service Cloud Voice, Amazon Connect, Genesys or NICE.
• Familiarity with broader agentic ecosystems such as Amazon Bedrock, Google Vertex AI or contemporary LLM orchestration frameworks.
• Background with modern enterprise data architectures including Salesforce Data 360, Snowflake, Databricks or BigQuery.

Details

• Location: Remote, United States. Based in North America, aligned with regional client operational schedules to support real-time collaboration during client working hours.
• Travel: anticipated commitment of up to 25% for certain roles.