About Altivate:
Altivate is a digital transformation enabler on a mission to help businesses find smarter and more innovative ways of doing business. With headquarters located in Saudi Arabia along with 3 regional offices in Egypt, India, and Jordan, we combine different knowledge and technologies to offer our clients tailored solutions and services to address their unique needs.
Altivate provides end-to-end services and solutions based on industry best practices. Our technology competencies are vast and unique; they include SAP, AWS, Microsoft Azure, Microsoft PowerBI, Google Cloud Platform, Teradata, Tableau, MicroStrategy, etc.
We work with our clients on unravelling new business opportunities presented by new technologies. We help our clients become more resilient, sustainable, and profitable, efficiently improving their performance and bottom line.
Altivate is proud: SAP Gold Partner, SAP Certified Partner Center of Expertise, AWS Select Partner, Azure Partner and GCP Partner.
We're also a proud recent holder of SAP MEA North's Delivery Excellence award for 2022.
Role Overview:
The Aritificial Intelligence Solutions Architect / AI Consultant will be responsible for identifying AI opportunities, designing AI solutions, and managing AI projects from concept to deployment. This role requires a deep understanding of AI technologies, strong business acumen, and excellent project management skills. The ideal candidate will work closely with clients to understand their needs and deliver AI-driven solutions that provide significant business value.
Key Responsibilities:
- Conduct workshops and discussions with clients to understand their business challenges.
- Train and fine-tune AI models using datasets
- Analyze client data and processes to identify opportunities for AI implementation.
- Prioritize AI use cases based on potential impact and feasibility.
- Develop proof-of-concept (PoC) projects to demonstrate AI capabilities.
- Design AI models and algorithms tailored to specific use cases.
- Collaborate with data scientists and engineers to build and deploy AI solutions.
- Create project plans, timelines, and budgets for AI initiatives.
- Ensure projects are delivered on time and within scope.
- Manage stakeholder expectations and provide regular updates.
- Oversee the integration of AI solutions into existing systems.
- Ensure the scalability and reliability of AI implementations.
- Monitor and optimize AI models post-deployment.
- Provide training to clients on how to use and maintain AI solutions.
- Offer ongoing support and troubleshooting.
- Keep up with the latest advancements in AI technology.
- Continuously explore new tools, techniques, and best practices.
- Develop different AI based solutions such as, but not limited to, RAG, AI agents, and vision models.
- Architect the right solutions of different AI based use-cases and products.
Qualifications:
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.
- Minimum [3] years of experience in AI/ML roles.
- Strong background in AI/ML technologies.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Keras).
- Knowledge of data processing and analysis.
- Understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services. As well as
- Ability to understand business processes and identify areas where AI can add value.
- Understand how AI can be applied and used in business applications to help drive business value and outcomes.
- Understanding of SAP is a strong plus.
- Experience in creating business cases for AI projects.
- Understanding of industry-specific challenges and opportunities.
- Strong problem-solving skills.
- Ability to analyze large datasets to identify trends and patterns.
- Experience in designing and conducting experiments to test AI models.
- Experience in managing AI projects from conception to deployment.
- Ability to coordinate with cross-functional teams (developers, data scientists, business stakeholders).
- Ability to explain complex AI concepts to non-technical stakeholders.
- Experience in writing technical documentation and presenting findings.
- Strong knowledge of different including both open and closed source models.
- Strong knowledge of available open source AI tools, datasets, and tools.
- Experience in training and finetuning LLMs and AI models.