Forward Deployed Engineer Enterprise Ai Salesforce

Role: Forward Deployed Engineer Enterprise AI & Salesforce

Locations: Dallas, TX(Hybrid)

Type: Contract

Role Overview

• We are seeking a strategic, AI-forward Forward Deployed Engineer to help enterprise clients understand, architect, and implement next-generation AI solutions across the Salesforce ecosystem. This role combines executive-level advisory, enterprise architecture, hands-on prototyping, and production stabilization.
• The ideal candidate will bridge business strategy and deep technical execution, guiding clients through enterprise AI adoption while translating emerging AI capabilities into practical, secure, scalable production solutions.

Key Responsibilities

• Advise client executives on frontier and open-weight models, AI agents, and Salesforce's evolving AI ecosystem.
• Define enterprise AI strategies, technology roadmaps, solution architectures, and implementation approaches.
• Evaluate model selection based on accuracy, cost, latency, privacy, security, hosting, and operational requirements.
• Design agentic systems involving Agentforce, Data 360, Agent Fabric, external model platforms, retrieval, grounding, orchestration, memory, evaluation, and guardrails.
• Establish secure agent identity, delegated authority, least-privilege access, approval workflows, auditability, and revocation mechanisms.
• Architect Salesforce solutions and integrations across Agentforce, Data 360, MuleSoft, Databricks, SAP, ServiceNow, and other enterprise platforms.
• Develop prototypes, debug integrations, inspect code, analyze logs, and collaborate with engineers to validate solution behavior and resolve complex technical issues.
• Lead technical architecture decisions, escalations, production validation, and stabilization of enterprise AI solutions.
• Transition proven solutions to delivery and managed-services teams with architecture documentation, risk assessments, runbooks, and operational guidance.
• Develop reference architectures, publish technical thought leadership, and mentor architects and engineers on enterprise AI and agentic design.

Required Skills and Experience

• 10+ years of experience delivering enterprise technology, platform, or architecture programs, including substantial Salesforce experience.
• Strong expertise in Salesforce architecture, security, data modeling, platform limitations, and enterprise integration patterns.
• Hands-on experience with at least one of Agentforce, Data 360, or MuleSoft, with working knowledge of the broader Salesforce ecosystem.
• Deep understanding of enterprise AI, LLMs, and agentic architectures, including GPT, Claude, Gemini, Llama, Nemotron, and Mistral.
• Experience with agent orchestration, tool use, retrieval-augmented generation (RAG), grounding, memory, evaluation, guardrails, and human oversight.
• Knowledge of model selection and trade-offs involving accuracy, cost, latency, privacy, sovereignty, hosting, and operational reliability.
• Understanding of enterprise AI security, including agent identity, delegated permissions, least-privilege access, policy enforcement, and auditability.
• Technical fluency in Apex, Lightning Web Components (LWC), Salesforce Flow, APIs, integration code, debugging, and log analysis.
• Experience taking enterprise AI or complex Salesforce platform solutions into production and supporting stabilization.
• Ability to engage with C-level executives while collaborating directly with architects and engineering teams.
• Strong communication, technical leadership, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Salesforce CTA, Application Architect, System Architect, Platform Developer, Agentforce, Data 360, or MuleSoft certifications.
• Experience with enterprise AI implementations across multiple industries and strategic client engagements.
• Published articles, conference presentations, reference architectures, or other thought leadership in enterprise AI, agentic systems, or Salesforce.
• Experience with AI-assisted development tools and modern AI engineering practices.
• Ideal Candidate Profile