United Business Group
Website:
ubgkw.com
Job details:
Company Description United Business Group, established in 2000, is a leading provider of IT Infrastructure Management and Technical Support Services in Kuwait. The organization focuses on delivering cost-effective, reliable IT solutions that address the evolving needs of its customers. By combining deep technical expertise with modern technology assets, United Business Group supports clients in optimizing and securing their IT environments. Team members work in a dynamic setting with opportunities to engage in complex infrastructure and automation projects. The company values innovation, customer focus, and continuous improvement in its services.
Location: Kochi,Kerala
Market Coverage: Middle East
Experience Required: Minimum 5 years
Function: Presales and Solution Architecture
Employment Type: Full-time
Position OverviewWe are seeking an accomplished Solution Architect – Intelligent Automation, Infrastructure & Agentic AI to design enterprise-grade automation and AI solutions for customers across the Middle East.
The successful candidate will combine strong solution-architecture capabilities with hands-on expertise in infrastructure and hardware sizing, RPA platforms, cloud and on-premises deployment models, and Agentic AI solutions.
Based in Saudi Arabia, the Solution Architect will work closely with sales, business-development, delivery, infrastructure, and partner teams. The role will be responsible for understanding customer requirements, designing scalable solutions, preparing technical and commercial inputs, conducting demonstrations, and enabling the sales team to achieve its revenue targets.
Key ResponsibilitiesSolution Architecture and Presales- Engage with customers to understand their business objectives, technical environment, workloads, security requirements, and transformation priorities.
- Translate business requirements into secure, scalable, resilient, and commercially viable solution architectures.
- Support the complete presales lifecycle—from opportunity qualification and discovery through solution design, proposal submission, technical evaluation, proof of concept, and deal closure.
- Guide sales professionals during customer engagements and ensure that proposed solutions address the customer’s business and technical requirements.
- Lead technical presentations, discovery workshops, solution demonstrations, architecture reviews, and proof-of-concept activities.
- Prepare solution blueprints, architecture diagrams, bills of materials, scope documents, effort estimates, technical proposals, and responses to RFPs, RFIs, and tenders.
- Clearly communicate solution value, business outcomes, implementation approach, assumptions, dependencies, risks, and total cost of ownership.
- Coordinate with OEMs, technology partners, cloud providers, delivery teams, and customer stakeholders.
- Maintain reusable solution templates, sizing models, reference architectures, and presales documentation.
Hardware and Infrastructure Sizing- Perform detailed infrastructure and hardware sizing based on process volumes, transaction loads, user concurrency, bot workloads, data growth, availability requirements, and expected future expansion.
- Recommend appropriate CPU, memory, storage, network, database, server, and GPU configurations.
- Design solutions for on-premises, private cloud, public cloud, and hybrid environments.
- Develop architectures covering development, testing, staging, production, and disaster-recovery environments.
- Design for high availability, load balancing, scalability, backup, disaster recovery, performance, security, and business continuity.
- Estimate capacity requirements for automation control rooms, bot runners, application servers, databases, AI workloads, vector databases, and integration components.
- Evaluate hardware and cloud-service options while balancing performance, scalability, security, and cost.
- Work with infrastructure and security teams to validate ports, protocols, firewalls, identity services, network connectivity, access controls, and environment readiness.
Intelligent Automation and RPAThe candidate must have practical solution-design exposure to the following platforms:
- UiPath
- Blue Prism
- Microsoft Power Automate
- Automation Anywhere
Responsibilities will include:
- Designing enterprise automation platforms and deployment architectures.
- Sizing attended and unattended automation environments.
- Understanding bot licensing, orchestration, credential management, scheduling, monitoring, queues, logging, and workload distribution.
- Designing integrations with ERP, CRM, databases, APIs, web applications, virtual environments, document-management systems, and enterprise applications.
- Advising customers on automation governance, security, operating models, and Centres of Excellence.
- Supporting process assessment and identifying suitable automation opportunities.
- Incorporating process mining, document understanding, intelligent document processing, OCR, workflow automation, and analytics where appropriate.
- Comparing technology options objectively and recommending the most suitable platform for each customer environment.
Agentic AI Solution ArchitectureThe candidate must possess deep knowledge of Agentic AI and generative AI solutions, including:
- Autonomous and human-supervised AI agents
- Multi-agent architectures and agent orchestration
- Large language models and small language models
- Retrieval-Augmented Generation
- Embeddings and vector databases
- Prompt engineering and context management
- Tool use, API calling, planning, reasoning, and workflow execution
- Enterprise data and application integration
- AI gateways, model hosting, observability, evaluation, and monitoring
- Responsible AI, security, governance, privacy, and human oversight
The Solution Architect will be expected to:
- Identify practical Agentic AI use cases across customer service, finance, procurement, human resources, sales, supply chain, IT operations, and other enterprise functions.
- Design Agentic AI solutions that securely connect with RPA platforms, enterprise applications, databases, APIs, and workflow systems.
- Select suitable models, orchestration frameworks, integration patterns, infrastructure, and deployment options.
- Size CPU, memory, storage, and GPU requirements for AI workloads where applicable.
- Evaluate on-premises, cloud-hosted, and hybrid AI deployment approaches.
- Design security controls covering identity, permissions, data protection, auditability, model access, guardrails, and human approval.
- Explain complex AI concepts in clear business language to executives and non-technical stakeholders.
- Convert AI opportunities into realistic roadmaps, solution designs, implementation plans, and measurable business outcomes.
Candidate Requirements- Minimum 5 years of relevant experience in solution architecture, presales consulting, infrastructure design, intelligent automation, enterprise applications, AI, or digital transformation.
- Proven experience performing infrastructure capacity planning and hardware sizing.
- Strong technical exposure to UiPath, Blue Prism, Microsoft Power Automate, and Automation Anywhere.
- Deep knowledge of Agentic AI, generative AI, enterprise AI architecture, and AI-enabled automation.
- Experience designing on-premises, cloud, and hybrid enterprise solutions.
- Ability to develop high-level and low-level solution designs.
- Experience preparing technical proposals, bills of materials, RFP responses, architecture diagrams, and effort estimates.
- Strong understanding of APIs, databases, operating systems, networks, cloud platforms, cybersecurity, integration patterns, and enterprise applications.
- Experience supporting sales teams in complex enterprise opportunities.
- Ability to manage multiple customer engagements and presales priorities simultaneously.
- Strong analytical, troubleshooting, presentation, documentation, and stakeholder-management capabilities.
- Ability to engage confidently with C-level executives, business leaders, enterprise architects, security teams, and technical specialists.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Relevant RPA, cloud, infrastructure, or AI certifications would be advantageous.
- Excellent written and spoken English; Arabic language capability would be an advantage.
- Must be based in Kochi or willing to relocate.
Preferred ExperiencePreference will be given to candidates with:
- Experience working with enterprise or government customers in Saudi Arabia and the wider Middle East.
- Knowledge of regional data-residency, cybersecurity, and compliance requirements.
- Exposure to GPU-based AI infrastructure and enterprise model-hosting platforms.
- Experience integrating automation and AI solutions with SAP, Oracle, Microsoft Dynamics, Salesforce, ServiceNow, or similar enterprise platforms.
- Experience leading a small presales or technical-consulting team.
- A strong record of supporting successful enterprise deal closures.
Key Performance IndicatorsPerformance will be measured through:
- Technical win rate and sales opportunities successfully supported
- Quality, accuracy, and timeliness of solution designs
- Accuracy of hardware sizing, effort estimates, and bills of materials
- Successful completion of demonstrations and proofs of concept
- Contribution to sales pipeline and revenue achievement
- Effectiveness in enabling and supporting the sales team
- Reduction of technical, delivery, and commercial risks before deal closure
Important Candidate ClarificationThis is not a purely operational infrastructure role or a standalone software-development position. We are looking for a customer-facing presales Solution Architect who can:
- Perform accurate infrastructure and hardware sizing
- Design enterprise automation and Agentic AI solutions
- Communicate effectively with business and technical stakeholders
- Guide sales teams throughout complex opportunities
- Develop credible, competitive, and commercially viable proposals
- Help convert qualified opportunities into successful business
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