About us
Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
Our proprietary AI orchestrator.
Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
Ready to build the next chapter of AI-driven insights with us?
Why Infomineo? Here's what sets us apart:
Shape the Data & AI Agenda: You will help define what we build, why it matters, and how it gets delivered at the point where client needs, business functions, and AI capability meet.
Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs. You will shape the analytics and AI solutions that directly support their decisions.
Influence the Technical Direction: You will assess emerging LLM, agentic, and deployment tooling and recommend what earns a place in how Infomineo works, defining delivery standards together with the department and Tech/R&D leadership.
Step Into Leadership: You will manage, develop, and grow a team of AI engineers, data scientists, and analysts owning their performance, progression, and day-to-day support, and coaching them not only on what to do but on how to think through problems independently.
About this role:
We are seeking an experienced Data & AI Solutions Lead to identify, design, and deliver data analytics and AI solutions with a strong focus on LLM-based and agentic systems across Infomineo's business functions and client engagements.
This is a hybrid leadership role. You will work with stakeholders to uncover where analytics and AI create real value, shape the proposal and business case, and then lead the solution through design, deployment, evaluation, and continuous improvement. You will manage project priorities and resources, stay ahead of developments in generative AI, agentic frameworks, and MLOps/LLMOps, and mentor a growing team of technical specialists.
Success in this role requires equal credibility in three settings: in a room with stakeholders scoping a business problem, in a room with engineers debating architecture and deployment trade-offs, and in a one-on-one developing a member of your team.
Key Responsibilities:
Opportunity Identification & Solution Proposals
Identify new opportunities to apply data analytics and AI services across business functions and client engagements and proactively surface them to leadership.
Collaborate with stakeholders to evaluate the business value, feasibility, and priority of each opportunity, translating ambiguous needs into clearly defined problem statements.
Develop comprehensive proposals and RFP/RFI responses covering scope, approach, architecture, staffing, man-day estimates, timeline, and expected impact, and present them persuasively to technical and non-technical audiences.
Build the business case for investment, including the trade-offs and risks of each proposed approach.
Lead scoping and discovery workshops with clients, and manage scope changes and contract amendments when requirements evolve beyond the agreed perimeter.
Solution Design & Delivery
Design custom data and AI solutions tailored to the defined business need including multi-agent pipelines, RAG systems, and LLM-powered workflows selecting appropriate tools, frameworks, architectures, and models.
Own the deployment of solutions into client and cloud environments working with the team on CI/CD pipelines, containerization, environment…