Applications and Systems Solutions Architect

The role requires translating end-user requirements into technically sound, commercially viable, and implementable solutions that align with end-user’s requirements, roadmap and contractual commitments.

1. End-user Discovery and Requirements Analysis

• Engage with prospective and existing end-users to understand business objectives, operational processes, technology landscape, pain points, constraints, and success criteria.
• Uncover underlying requirements through effective scoping activities.
• Translate end-user requirements into solution scope, technical assumptions, dependencies, risks, and implementation considerations.
• Assess end-user systems, applications, data flows, integrations, infrastructure dependencies, security requirements, and support expectations.
• Clarify functional and non-functional requirements, including performance, scalability, availability, compliance, usability, maintainability, and service levels.
• Identify gaps between end-user needs and available LTD capabilities, and recommend practical options, workarounds, phased approaches, or product enhancements where appropriate.

1. Solution Design and Technical Architecture

• Design end-to-end end-user solutions that integrate LTD applications, end-user systems, third-party platforms, data sources, infrastructure services, and operational support processes.
• Prepare solution architecture views, system context diagrams, application interaction models, integration designs, deployment options, and environment recommendations.
• Ensure proposed solutions are secure, scalable, resilient, supportable, commercially realistic, and aligned with LTD’s delivery standards.
• Define solution components, responsibilities, assumptions, exclusions, dependencies, technical boundaries, and transition points between LTD and end-user teams.
• Recommend solution patterns that balance end-user expectations, implementation effort, product capability, delivery risk, and total cost of ownership.

1. Pre-Sales and Proposal Support

• Support sales teams in qualifying opportunities, shaping solution strategy, and positioning capabilities against end-user requirements.
• Contribute to proposals, requests for information, requests for proposal, statements of work, solution estimates, technical responses, and implementation approaches.
• Prepare and present solution overviews, architecture walkthroughs, demonstrations, proof-of-concept plans, and technical value propositions to end-users.
• Provide technical input to commercial discussions, including effort estimates, solution options, delivery assumptions, licensing implications, and support considerations.
• Help identify technical differentiators, delivery risks, and win themes that strengthen LTD’s proposal and end-user confidence.

1. Applications and Systems Architecture

• Design application solutions that support end-user business processes, user journeys, workflow requirements, reporting needs, data requirements, and operational controls.
• Define how LTD applications will interact with end-user systems, identity services, databases, integration layers, reporting tools, and operational platforms.
• Review application configuration, customization, extension, and integration approaches to ensure they remain sustainable and supportable.
• Assess system dependencies such as hosting environments, middleware, networks, security controls, monitoring, backup, recovery, and service continuity.
• Guide end-users and delivery teams on modernization, migration, coexistence, cutover, and transition strategies where legacy systems are involved.

1. Integration, Data, and Interoperability

• Define integration approaches between LTD solutions, end-user systems, partner platforms, and third-party services using approved methods such as APIs, middleware, batch interfaces, event messaging, or data exchange mechanisms.
• Specify interface requirements, data mapping considerations, security controls, error handling, logging, monitoring, reconciliation, and operational support needs.
• Work with end-user technical teams to validate connectivity, identity, access, data ownership, data quality, privacy, and compliance requirements.
• Identify integration risks early and recommend mitigation actions, alternative designs, phased delivery options, or proof-of-concept validation.

1. Delivery Alignment and Implementation Support

• Provide technical leadership and architecture guidance during project initiation, design, build, configuration, integration, testing, deployment, and transition to production.
• Ensure implementation teams understand the approved solution design, assumptions, dependencies, technical constraints, and end-user commitments.
• Review key delivery artifacts, including technical designs, configuration specifications, interface documents, migration plans, test strategies, deployment plans, and operational readiness materials.
• Support issue resolution for complex design questions, scope clarifications, integration challenges, environment constraints, and end-user escalations.
• Manage architectural change control by assessing the impact of design changes on cost, timeline, risk, supportability, and contractual commitments.

1. End-user Advisory and Stakeholder Management

• Act as a trusted technical advisor to end-users by explaining solution options, trade-offs, risks, constraints, and recommended approaches in clear business and technical terms.
• Facilitate workshops with end-user business users, technical teams, security teams, operations teams, and decision-makers.
• Coordinate with internal sales, delivery, product, engineering, support, legal, and commercial teams to ensure solution commitments are realistic and achievable.
• Build end-user confidence by demonstrating knowledge of applications, systems, integrations, implementation practices, service operations, and LTD capabilities.
• Support account growth by identifying follow-on opportunities, enhancement needs, platform expansion, and solution optimization areas.

1. Governance, Risk, and Quality Assurance

• Ensure solution designs follow LTD architecture standards, security practices, implementation methods, support models, and quality expectations.
• Document architecture decisions, assumptions, risks, dependencies, exclusions, and end-user responsibilities clearly and consistently.
• Participate in internal solution reviews, proposal reviews, design governance forums, project checkpoints, and delivery readiness assessments.
• Identify technical debt, delivery risk, product limitations, integration complexity, and operational gaps before they affect end-user outcomes.
• Promote reusable templates, reference architectures, lessons learned, and best practices across end-user engagements.

• End-user solution architecture documents and technical design packs
• Proposal technical responses, solution narratives, assumptions, and exclusions
• System context diagrams, application interaction diagrams, integration diagrams, and deployment views
• Proof-of-concept plans, demonstration scenarios, and solution validation outputs
• Implementation approach, technical work breakdown inputs, estimates, and delivery dependencies
• Interface specifications, data mapping guidance, migration considerations, and environment requirements
• Risk registers, architecture decision records, issue impact assessments, and mitigation recommendations
• Operational readiness inputs, support transition notes, and handover materials

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related field; equivalent professional experience may be considered.
• Strong experience in solution architecture, application architecture, systems integration, software implementation, and technical consulting.
• Experience in pre-sales, consulting, implementation, managed services, systems integration, and/or professional services environments.
• Solid understanding of enterprise applications, business systems, APIs, integration patterns, databases, identity and access management, cloud or hosted environments, security, and operational support models.
• Ability to prepare solution designs, proposal inputs, technical estimates, implementation assumptions, and delivery documentation.
• Relevant industry certifications are advantageous.
• Understanding of responsible AI principles, including governance, privacy, security, compliance, and ethical AI practices.