Senior Presales Solutions Architect

Job Purpose

Opportunity Qualification and Planning

• Review customer opportunities, RFPs, RFIs, tenders, statements of work, and business requirements.
• Assess technical, delivery, resource, commercial, and strategic considerations and participate in Go/No-Go evaluations.
• Identify information gaps, dependencies, risks, assumptions, clarification questions, partners, and subcontractors.
• Develop presales response plans, technical workstreams, responsibilities, and submission timelines.

Requirements and Solution Definition

• Conduct discovery sessions and workshops with customers and internal stakeholders.
• Translate business requirements into functional and non-functional technical requirements and traceability matrices.
• Define and prioritize use cases across digital solutions, microservices, AI, data, BI, and telecom domains.
• Identify opportunities for automation, process improvement, intelligent services, analytics, and customer experience enhancement.

Digital and Integration Architecture

• Design end-to-end architectures covering applications, workflows, integration, data, security, infrastructure, and operations.
• Prepare high-level, logical, system-context, integration, deployment, and data-flow diagrams.
• Design microservices using domain-driven design, API-first principles, and event-driven patterns.
• Define APIs, service boundaries, integration contracts, containerization, orchestration, monitoring, security, and fault tolerance.
• Recommend CI/CD, DevSecOps, automated testing, API governance, and legacy-modernization approaches.

Artificial Intelligence Solutions

• Identify practical AI and generative AI use cases and design architectures for machine learning, NLP, computer vision, forecasting, recommendations, and intelligent automation.
• Define solutions using large language models, retrieval-augmented generation, embeddings, vector databases, knowledge bases, fine-tuning, and AI agents.
• Define data preparation, training, evaluation, deployment, monitoring, governance, privacy, security, explainability, and human approval approaches.
• Support AI demonstrations, pilots, prototypes, proof-of-concepts, infrastructure estimates, and measurable success criteria.

Data and Business Intelligence

• Design BI, analytics, reporting, data visualization, data integration, processing, and pipeline solutions.
• Design conceptual architectures for data warehouses, data lakes, lakehouses, operational data stores, and analytical platforms.
• Define data sources, quality, metadata, master data, governance, access, lineage, retention, classification, and monitoring requirements.
• Define dashboards, KPIs, executive reports, operational reports, self-service analytics, forecasting, segmentation, and trend analysis.

Telecom Solutions

• Design solutions for telecom operators, service providers, and communication organizations.
• Address customer journeys, digital channels, customer care, billing, charging, order management, catalogues, payments, provisioning, inventory, faults, and service assurance.
• Design integrations between digital channels, customer platforms, billing, order management, and network-service platforms.
• Apply telecom APIs, TM Forum concepts, Open APIs, security, regulatory, data-residency, and operational requirements.

Technical Proposals and Commercial Support

• Lead technical proposals and tender responses covering solution, architecture, scope, deliverables, methodology, schedule, team structure, assumptions, risks, service levels, security, support, training, and compliance.
• Maintain traceability between customer requirements and proposed solutions and review contributions from internal teams, vendors, subcontractors, and partners.
• Develop effort estimates, resource plans, role descriptions, competency requirements, person-day estimates, bills of quantities, and technical costing assumptions.

Requirements

• Strong technical architecture capabilities across digital solutions, enterprise platforms, microservices, AI, data, analytics, BI, and telecom solutions.
• Telecom industry knowledge, including customer-facing systems, billing, charging, order management, BSS, and OSS.
• Experience developing technical proposals, tender responses, compliance matrices, and solution documentation.
• Commercial awareness sufficient to support effort estimates, resource plans, bills of quantities, and technical costing assumptions.
• Strong stakeholder management and customer presentation skills across executive, business, and technical audiences.
• Ability to translate business needs into clear, measurable, traceable technical requirements.
• Ability to design scalable, secure, resilient, maintainable, observable, and cost-effective solutions.
• Ability to address AI governance, privacy, security, explainability, bias, hallucination control, and human approval requirements.