Company Overview:

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.

Our Vision and Values:

We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:

• Excellence
• Responsibility
• Empowerment
• Connectivity
• Courage

Job Summary:

Supports technical consultancy activities, AI solution conceptualization, and the design of AI-driven solutions aligned with client and business requirements. The role focuses on translating client requirements and business challenges into technically feasible AI approaches, solution concepts, and practical implementation plans.

Responsibilities:

• Perform AI use case evaluation, and feasibility assessments, considering technical viability, data availability, and implementation requirements.
• Design conceptual AI solutions, high-level architectures, and implementation approaches aligned with client objectives and existing technology environments.
• Support the development of technical proposals, RFP responses, presentations, and solution recommendations, including defining technical scope, deliverables, assumptions, and implementation considerations.
• Develop technical documentation, solution specifications and methodologies to support AI initiatives.
• Conduct technology and market research to evaluate emerging AI technologies, platforms, tools, and frameworks and assess their applicability to client requirements.

Requirements:

• AI and Machine Learning: Strong understanding of AI/ML techniques, model capabilities, applications, and practical implementation considerations.
• Enterprise AI Concepts and Architectures: Knowledge of enterprise AI architectures, integration patterns, AI platforms, and deployment considerations.
• Generative AI: Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise Generative AI applications.
• Solution Design Principles: Ability to develop conceptual solution designs, assess technical feasibility, and recommend appropriate technologies and architectural approaches.
• Technical Documentation: Strong technical writing skills, including preparing solution concepts, technical proposals, methodologies, architecture descriptions, and implementation plans.
• AI Implementation Methodologies: Knowledge of AI project lifecycles, data requirements, model development, deployment approaches, and operational considerations.
• Technology Evaluation: Ability to assess and compare AI technologies, frameworks, and platforms based on suitability, scalability, integration, and implementation requirements.

Optional/ Domain Specific Skills:

• Industry-Specific AI Use Cases: Familiarity with AI applications in sectors such as smart cities, infrastructure, engineering, transportation, energy, and asset management.
• Responsible AI Principles: Understanding of AI governance, ethical AI, data privacy, risk management, and responsible AI practices.
• AI Adoption Frameworks: Familiarity with AI maturity assessments, adoption roadmaps, organizational readiness, and enterprise AI transformation initiatives.

* While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.