Senior Solution Architect / Technical Lead

We need a Senior Solution Architect / Technical Lead to potentially be part of a six-week assessment for three projects involving AI-enabled enterprise solutions, ServiceNow, and APIs. This role will have a 50% allocation.

Description

• Lead the end-to-end technical assessment across three projects involving AI-enabled enterprise solutions, ServiceNow, and APIs.
• Assess the architecture and technical viability of the three shortlisted scenarios.
• Define appropriate boundaries between the AI-powered employee experience/orchestration layer and underlying workflow and systems-of-record platforms.
• Assess one project’s AI architecture, including orchestration, RAG/knowledge, agents, context management, integration, and human hand-off.
• Evaluate APIs, integrations, IAM/RBAC, security, data flows, auditability, resilience, and observability.
• Work with the ServiceNow Specialist to assess workflow architecture, customization debt, API fitness, and required platform uplift.
• Identify technical dependencies, constraints, risks, and industrialization requirements.
• Define the target architecture for the recommended direction.
• Assess scalability, operability, and governance requirements needed to move from proof to enterprise scale.
• Contribute technical inputs to the TCO/business case, transition approach, and implementation roadmap.
• Present architecture findings and recommendations to the client’s technical and executive stakeholders.
• Work with the AI Architect/SME for targeted expert review and technical assurance of AI-related conclusions.
• Co-author the final assessment report with the Engagement Lead and specialist team, translating technical findings, scenario comparisons, architecture recommendations, risks, and roadmap inputs into a clear executive decision document.

Must-have competencies

• 10+ years in solution/enterprise architecture or comparable senior technical leadership.
• Strong experience designing enterprise-scale integrated architectures.
• Good understanding of AI-enabled enterprise solutions, including LLMs, RAG, agent/orchestration patterns, and AI integration; specialist AI engineering experience is not required.
• Strong API, integration, and systems-of-record architecture experience.
• Experience with identity, security, governance, and non-functional requirements.
• Ability to assess competing architecture options objectively and turn findings into a clear recommendation.
• Strong stakeholder communication, including working with enterprise architects and senior business stakeholders.
• Experience producing target architectures, transition architectures, and implementation roadmaps.

Strong advantages

• ServiceNow / ESM architecture exposure.
• Microsoft/Azure AI or comparable enterprise AI platform experience.
• Employee experience / digital workplace architecture.
• Experience assessing AI solutions for production readiness rather than only PoCs.
• Consulting or assessment engagements involving architecture options and business cases.