Forward-Deployed AI Solutions Engineer

• 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.

Core Competencies

Demonstrates expertise in organizational design, operating model transformation, and technology enablement, with a strong focus on building functional AI-powered workflows and prototypes. Proven ability to influence stakeholders through structured, evidence-based arguments while ensuring effective adoption of new tools and processes.

Highest-signal resume keywords

• Organizational Design
• Operating Model Transformation
• Change Management
• Technology Enablement
• Process Engineering

ATS Optimization Keywords

Hard Skills

• AI-Powered Workflow Development
• Prototyping
• Process Redesign
• Evidence-Based Argumentation
• Value Capture Assessment

Soft Skills

• Diagnostic Mindset
• Stakeholder Alignment
• Autonomous Work Capability
• Accountability to Outcomes
• Change Management

Industry Keywords

• Management Consulting
• Enterprise Technology
• SaaS
• Professional Services
• Large-Scale Technology Rollouts

Tools & Technologies

• LLM APIs
• Low-Code/No-Code Environments
• Measurement Frameworks
• Prototyping Tools
• Automation Tools