Forward Deployed Engineer (AI & Business Transformation)

New
T
TruelogicTechnology & Consulting
LatAmFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5 to 10 years
Required Skills
Artificial IntelligenceChange ManagementSaaS

Requirements

  • 5 to 10 years of experience in management consulting or equivalent roles within enterprise technology, SaaS, or professional services.
  • Demonstrated expertise in at least two of the following areas: organizational design, operating model transformation, change management, technology enablement, process engineering, or go-to-market execution.
  • Proven track record of building structured, evidence-based arguments to effectively influence and align senior stakeholders.
  • Hands-on experience building functional AI-powered workflows, automations, and prototypes, with the ability to ship working solutions autonomously.
  • Ability to rapidly scope and build a working proof of concept within the constraints of a client engagement.
  • Strong diagnostic mindset with a dedication to understanding root causes and broken processes before jumping to solutions.
  • Deep accountability to actual outcomes and measurable impact rather than just static deliverables.
  • Bias toward early proof, preferring to build working prototypes over producing standard roadmaps.
  • Ability to operate effectively in a forward-deployed capacity, integrating deeply alongside client engineers, product leads, and operators.

Responsibilities

  • Map current-state workflows end-to-end to diagnose root causes of operational friction, including handoff failures, governance gaps, and tooling mismatches.
  • Redesign target-state operations for leaner workflows, clearer decision rights, and effective human-agent collaboration to accelerate throughput using AI.
  • Design comprehensive operating models, including organizational structure, roles, governance, cross-functional interaction models, and value realization.
  • Establish performance baselines and build measurement frameworks that track improvement continuously throughout the engagement.
  • Build working, AI-powered prototypes directly utilizing LLM APIs, platform-native features, and low-code/no-code environments to create functional solutions.
  • Utilize working demos and prototypes as the primary tool for stakeholder alignment directly within the client's actual processes.
  • Support the rollout of new tools and workflows, ensuring adoption is rooted in process design and change management.
  • Support complex engagement scoping and conduct diagnostic assessments for value capture, implementation readiness, and adoption strategy.
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