Forward Deployed Engineer – AI, Business Transformation

Jobtailor; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Jobtailor is seeking an experienced management consultant to map current-state workflows end-to-end, diagnose friction, and redesign target-state operations for lean, auditable processes.

You will build AI-powered prototypes, run value assessments, and collaborate with client teams to ensure adoption, governance, and measurable ROI across large-scale transformations.

Qualifications

• 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.
• Ability to rapidly scope and build a working proof of concept within a client engagement to move skeptical stakeholders.
• Comfort and capability working autonomously without a dedicated engineering team, knowing exactly when to build solutions independently and when to pull in additional resources.
• 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.
• Experience in large‑scale organizational assessments, process redesigns, or large‑scale technology rollouts is highly preferred.

Responsabilités

• 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.
• Identify value gaps in stalled implementations, diagnosing where technology deployment has outpaced business adoption to restore the path to ROI.
• 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.
• Evaluate where AI practically enhances a workflow versus where it serves as a distraction, advising clients with realistic, grounded expectations.
• Support the rollout of new tools and workflows, ensuring adoption is rooted in process design and change management.
• Design enablement materials that ensure new technology implementations effectively connect to and support the intended operating model.
• Support complex engagement scoping and conduct diagnostic assessments for value capture, implementation readiness, and adoption strategy.
• Contribute reusable frameworks and tools that continuously improve practice qualification and scoping.

Connaissances

Organizational design

Operating model transformation

Change management

Technology enablement

Process engineering

Go-to-market execution

Description du poste

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.
• Identify value gaps in stalled implementations, diagnosing where technology deployment has outpaced business adoption to restore the path to ROI.
• 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.
• Evaluate where AI practically enhances a workflow versus where it serves as a distraction, advising clients with realistic, grounded expectations.
• Support the rollout of new tools and workflows, ensuring adoption is rooted in process design and change management.
• Design enablement materials that ensure new technology implementations effectively connect to and support the intended operating model.
• Support complex engagement scoping and conduct diagnostic assessments for value capture, implementation readiness, and adoption strategy.
• Contribute reusable frameworks and tools that continuously improve practice qualification and scoping.

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 rather than just designing them.
• Ability to rapidly scope and build a working proof of concept within the constraints of a client engagement to move skeptical stakeholders.
• Comfort and capability working autonomously without a dedicated engineering team, knowing exactly when to build solutions independently and when to pull in additional resources.
• 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.
• Experience in large‑scale organizational assessments, process redesigns, or large‑scale technology rollouts is highly preferred.