Technical Solutions Specialist – Emerging Technologies

Key Responsibilities

• Engage customers to understand business needs and translate them into practical technology solutions.
• Research, evaluate, design, and develop solutions leveraging emerging technologies, including AI, Generative AI, Machine Learning, LLMs, AI Agents, Intelligent Automation, Business Intelligence, Data Analytics, and other innovative technologies.
• Identify opportunities to integrate intelligent solutions into existing business processes, enterprise applications, infrastructure, and data environments.
• Design end-to-end solutions leveraging customer data, knowledge repositories, business applications, APIs, and cloud platforms.
• Evaluate technology platforms, AI models, frameworks, licensing, and deployment options, including cloud, on-premises, and hybrid environments.
• Develop technical architectures, prototypes, Proofs of Concept (PoCs), and solution demonstrations.
• Prepare technical proposals, solution specifications, and implementation roadmaps.
• Support technical pre-sales, customer engagements, and solution implementation.

Requirements

• Bachelor’s degree in Computer Science, IT, Software Engineering, Data Science, or a related field.
• Practical knowledge of AI technologies, Generative AI, LLMs, Machine Learning, and AI-powered application development.
• Experience integrating solutions with enterprise applications, databases, APIs, cloud platforms, and existing IT infrastructure.
• Knowledge of programming languages such as Python or JavaScript, AI development frameworks, data platforms, and automation technologies.
• Understanding solution deployment across cloud, on-premises, and hybrid environments.
• Strong analytical, problem-solving, communication, and presentation skills.
• Ability to translate business challenges into innovative, scalable technology solutions.

The Ideal Candidate

An innovative problem-solver who can conceptualize solutions from scratch, evaluate emerging technologies, build working prototypes, integrate solutions into existing enterprise environments, and turn technology opportunities into practical business solutions.

• Engage customers to understand business needs and translate them into practical technology solutions.
• Research, evaluate, design, and develop solutions leveraging emerging technologies, including AI, Generative AI, Machine Learning, LLMs, AI Agents, Intelligent Automation, Business Intelligence, Data Analytics, and other innovative technologies.
• Identify opportunities to integrate intelligent solutions into existing business processes, enterprise applications, infrastructure, and data environments.
• Design end-to-end solutions leveraging customer data, knowledge repositories, business applications, APIs, and cloud platforms.
• Evaluate technology platforms, AI models, frameworks, licensing, and deployment options, including cloud, on-premises, and hybrid environments.
• Develop technical architectures, prototypes, Proofs of Concept (PoCs), and solution demonstrations.
• Prepare technical proposals, solution specifications, and implementation roadmaps.
• Support technical pre-sales, customer engagements, and solution implementation.

• AI technologies
• Generative AI
• LLMs
• Machine Learning
• AI-powered application development
• Integrating solutions with enterprise applications, databases, APIs, cloud platforms, and existing IT infrastructure
• Programming languages such as Python or JavaScript
• AI development frameworks
• Data platforms
• Automation technologies
• Understanding solution deployment across cloud, on-premises, and hybrid environments
• Analytical skills
• Problem-solving skills
• Communication skills
• Presentation skills
• Ability to translate business challenges into innovative, scalable technology solutions

• Bachelor’s degree in Computer Science, IT, Software Engineering, Data Science, or a related field.
• Practical knowledge of AI technologies, Generative AI, LLMs, Machine Learning, and AI-powered application development.
• Experience integrating solutions with enterprise applications, databases, APIs, cloud platforms, and existing IT infrastructure.
• Knowledge of programming languages such as Python or JavaScript, AI development frameworks, data platforms, and automation technologies.
• Understanding solution deployment across cloud, on-premises, and hybrid environments.
• Strong analytical, problem-solving, communication, and presentation skills.
• Ability to translate business challenges into innovative, scalable technology solutions.