Forward Deployed Engineer, AI & Agentforce
New
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NeuraFlash, Part of AccentureAI software
Remote - United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years executing technical solutions, consulting, or solution engineering in client-facing environments; 2+ years hands-on experience building with Agentforce, Service Cloud, or comparable agentic AI architectures.
- Required Skills
- Data modeling
Requirements
- Bring 4+ years of experience executing technical solutions, consulting, or solution engineering in client-facing environments.
- Have direct experience engaging key stakeholders during critical decision moments.
- Bring 2+ years of hands-on experience building with Agentforce, Service Cloud, or comparable agentic AI architectures.
- Hold active Salesforce accreditations, including Agentforce Specialist, Platform Developer I, or System Administrator credentials.
- Be able to rapidly prototype functional solutions and troubleshoot Flows, Apex, or agent execution traces.
- Understand enterprise architecture principles, including integration patterns, data models, and platform boundaries.
- Translate technical trade-offs into executive-level business impact and address stakeholder concerns.
- Use modern AI tooling; Claude is cited as part of the team's methodology.
- Be comfortable working in rapidly evolving environments and under condensed timelines.
- Preferred: experience leading AI bake-offs, proof-of-value prototypes, or pre-sales engagements.
- Preferred: expertise in Service Cloud Voice, Amazon Connect, Genesys, or NICE.
- Preferred: familiarity with Amazon Bedrock, Google Vertex AI, or LLM orchestration frameworks.
Responsibilities
- Construct agentic solutions in client environments, translating requirements into architectures with subagents, guardrails, dynamic actions, and data models.
- Lead recurring technical client engagements, demonstrate progress, incorporate feedback, and define scope boundaries.
- Connect technical delivery to business metrics such as deflection, handle duration, operational expenses, and user sentiment.
- Identify delivery bottlenecks, integration constraints, architecture limits, and sponsor misalignment early.
- Troubleshoot and optimize dialogue flows, execution bugs, and system logic under tight timeframes.
- Deliver live interactive demonstrations of Agentforce solutions.
- Convert implementation insights into reusable solution accelerators, demonstration assets, and internal knowledge bases.
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