AI Solutions Consultant

AppliedAI; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

AppliedAI is seeking a Solutions Consultant to join our post-sales Delivery Team in Abu Dhabi. You will translate client requirements into detailed technical designs and guide implementation of our Opus orchestration platform, partnering with enterprise stakeholders to ensure successful outcomes.

The role demands strong technical confidence in AI, APIs, and integrations, with hands-on oversight and expert stakeholder management.

Qualifications

• 5+ years in solutions or technical consulting with enterprise clients.
• Post-sales experience translating requirements into technical designs.
• Experience with workflow automation, distributed systems, or AI/ML platforms.

Responsibilities

• Lead discovery sessions and define architecture with client teams.
• Architect business cases with ROI and P&L impact.
• Provide technical leadership during delivery and resolve blockers.
• Demonstrate outcomes-focused demonstrations to clients.

Skills

Solutions consulting

Post-sales

Workflow automation

AI/ML platforms

Tools

APIs

Cloud integration

Job description

AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, UAE. We are committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.

AppliedAI is at the forefront of redefining the future of work through cutting-edge AI solutions. We empower organizations by automating complex, document-heavy processes, ensuring unparalleled efficiency and accuracy. Our commitment to synergizing human intelligence with artificial intelligence helps our clients excel in highly regulated industries, including healthcare, finance, and insurance.

We are seeking a Solutions Consultant to join our growing post-sales Delivery Team, responsible for ensuring client success with our agentic AI workflow orchestration platform, Opus.

In this role, you will work directly with enterprise clients after the sale to translate requirements into detailed technical designs and guide implementation.

You’ll demonstrate strong technical confidence and analytical skills, and will have the ability to balance solution design with hands‑on technical oversight and stakeholder management.

Key Responsibilities:

Client Engagement & Discovery

• Lead deep-dive discovery sessions to identify needs and drivers beyond surface-level requirements.
• Partner with client teams to define workflows and align on architecture decisions while building internal advocates and champions.
• Build trusted technical relationships with client stakeholders, acting as a go-to adviser for orchestration design.
• Navigate complex organizational dynamics to ensure alignment between IT and Operations.

Solution Design & Documentation

• Architect business cases that quantify ROI and P&L impact to create urgency for change.
• Define integration points with client systems including APIs, data sources, and cloud infrastructure.
• Maintain design decision logs, system interface definitions, and solution playbooks for each engagement.

Technical Leadership

• Provide deep technical guidance to both Provide clear and actionable instructions to client teams and internal implementation engineers.
• Identify and resolve technical blockers and system constraints during the delivery phase.

Outcome‑Focused Delivery

• Conduct demonstrations that focus on business outcomes rather than just feature tours.
• Serve as an escalation point for complex technical challenges during delivery.

Key Requirements:

Experience

• 5+ years in solutions consulting, technical consulting, or technical business analysis roles.
• Proven post-sales experience working directly with enterprise clients
• Strong background in workflow automation, distributed systems, or AI/ML‑driven platforms.

Technical Skills

• Technical Confidence: Expert in discussing AI, APIs, and integrations (e.g., webhooks) without requiring regular engineering support.
• Requirements Engineering: Expert in translating vague use cases into robust technical solutions and sequence diagrams.

Soft Skills

• Effective Stakeholder Engagement: Ability to re‑frame scepticism and stay calm when challenged by stakeholders.
• Executive Presence: Comfortable challenging C‑suite thinking and shifting from features to strategic impact.
• Collaborative Mindset: Able to interface effectively with client engineers, architects, and executives.

What We Offer:

• Opportunity to shape the marketing analytics strategy at a leading AI company.
• Exposure to cutting‑edge AI/ML applications in real‑world business contexts.
• Collaborative, innovative, and growth‑driven work environment.
• Competitive compensation, benefits, and career advancement opportunities.