Forward Deployed Engineer, AI & Agentforce

NeuraFlash, Part of Accenture

6d

About The Position

Join NeuraFlash, Part of Accenture’s specialized AI acceleration team to lead client-facing engagements that demonstrate and deliver business value through Agentforce-powered solutions. The work focuses on rapid execution—including competitive bake-offs, fast prototypes, and art-of-the-possible demonstrations—rather than long-term project delivery or baseline platform development.

Working alongside a Pursuit Architect, you will own technical design, ongoing tuning, and direct customer interactions. You will build and refine solutions within client environments, translate requirements into functional agent architectures, and connect technical decisions to strategic business outcomes. The role is based in North America to align with regional client operating schedules and support real-time troubleshooting and collaboration. Some roles involve travel of up to 25%.

Requirements

• At least 4 years executing technical solutions, consulting, or solution engineering in client-facing environments, including direct engagement with key stakeholders during critical decision moments.
• At least 2 years of hands-on experience building with Agentforce, Service Cloud, or comparable agentic AI architectures, including building and architecting active solutions.
• Active Salesforce accreditations, including Agentforce Specialist, Platform Developer I, or System Administrator credentials.
• Ability to rapidly prototype and troubleshoot, including analyzing Flows, Apex, or agent execution traces to identify and resolve root causes under pressure.
• Strong understanding of enterprise architecture principles, including integration patterns, data models, and platform boundaries.
• Ability to explain complex technical trade-offs in terms of executive-level business impact and address stakeholder concerns while tying solutions to operational metrics.
• Commitment to using modern AI tools to improve efficiency; platforms such as Claude are part of the stated day-to-day methodology.
• Comfort working in fast-changing environments and helping chart a path forward under condensed timelines.

Nice To Haves

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

Responsibilities

• Rapidly build agentic solutions in client environments, translating requirements into architectures that may include subagents, deterministic guardrails, dynamic actions, and foundational data models.
• Lead recurring technical client engagements, demonstrate progress, incorporate real-time feedback, define scope boundaries, and drive iteration throughout the opportunity lifecycle.
• Present solutions to leadership and non-technical stakeholders by connecting technical delivery to business metrics such as deflection, handle duration, operating expenses, and user sentiment.
• Identify delivery bottlenecks, integration constraints, architecture limits, or sponsor misalignment early and raise visibility to maintain progress against milestones.
• Troubleshoot and optimize dialogue flows, execution bugs, and system logic in real time under tight timeframes.
• Deliver live, interactive demonstrations of complex Agentforce solutions.
• Turn insights from client implementations into reusable solution accelerators, demonstration assets, and internal knowledge resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed