About the role

Echelon is seeking an AI Deployment Strategist to work with enterprise clients and help translate business challenges into practical AI use cases and implementation plans. Working alongside senior AI transformation leaders, solution architects, technology partners and Forward Deployed Engineers (FDEs), you will lead client discovery, use case definition, technology mapping, and help move AI initiatives from idea to proof of value and deployment. This is a client-facing, business-led role for a hands-on professional who combines strong analytical and consulting skills with a working understanding of enterprise AI technologies. You will contribute to transformation engagements and own defined workstreams, with guidance on complex strategic or architectural decisions.

Key Responsibilities

Lead and facilitate client interviews and discovery workshops to understand business processes, pain points, priorities and desired outcomes.

Translate business problems into structured AI use case briefs covering scope, users, data requirements, KPIs, risks and expected business value.

Build and maintain AI use case inventories; assess and prioritize opportunities by impact, feasibility, data readiness and delivery effort.

Lead AI maturity assessments with client stakeholders, and turn the findings into transformation roadmaps and phased implementation plans.

Map use cases to suitable approaches, including predictive AI/ML, GenAI, agentic workflows, intelligent automation and established enterprise platforms.

Collaborate with architects, FDEs and technology partners on solution options, integrations, build-versus-buy analysis and high-level delivery assumptions.

Help prepare PoC/PoV charters, MVP scopes, acceptance criteria, business cases and client-facing presentations.

Track decisions, dependencies, business KPIs and client feedback throughout use case validation and early delivery.

Lead adoption planning and stakeholder communication to help clients put successful AI initiatives into everyday use.

Required Qualifications

8+ years of relevant experience in digital transformation, technology consulting, business analysis, AI solutions, solution consulting or related client-facing roles.

Demonstrated experience in business requirements gathering, process analysis, workshop facilitation and turning needs into clear, workable use cases.

Practical understanding of AI/ML, Generative AI, LLMs, agentic AI and automation, including when each approach is appropriate.

Ability to document use cases, create prioritization matrices, define KPIs and support business-value assessments.

Working knowledge of cloud, data platforms, APIs and enterprise application integration concepts; deep hands-on model development is not required.

Strong communication, clear, logical problem-solving, stakeholder coordination and PowerPoint/Excel skills.

Bachelor’s degree in Computer Science, Engineering, Information Systems, Business or a related field; equivalent relevant experience considered.

Professional proficiency in English, Arabic is expected.

Preferred Qualifications

Exposure to energy, utilities, manufacturing, industrial or large-enterprise transformation projects.

Experience supporting AI pilots, proofs of concept, or deployment projects with mixed business and technical teams.

Familiarity with Azure AI, AWS AI or Google Cloud AI and responsible AI principles.

Experience working in Saudi Arabia or the wider GCC; Arabic language skills are an advantage.

Our Values

Customer first: You measure your work by customer outcomes, and prioritise accordingly.

Ownership mentality: You own outcomes end to end. When something breaks or stalls, you treat it as yours to fix.

Clear communicator: You explain complex systems simply, to operators and executives alike, and make the value of your work visible.

Comfortable with ambiguity: You make progress with incomplete information, partial data and unfamiliar environments, and you enjoy solving problems where there is no structure yet.

Long-term builder: You invest in Echelon’s long-term success, bringing field insight back into our strategy and operations.