Principal Solution Architect

Overview

Fsi Client Advisory & Solution Leadership

• Serve as a lead architectural + technical authority for Financial Services engagements, advising clients on enterprise-grade AI, data, and cloud architectures aligned to regulatory and operational constraints.
• Engage directly with C-suite, CIOs, CTOs, CDOs, and Heads of Risk, Compliance, and Business Lines to shape AI-enabled transformation agendas.
• Translate complex FSI business challenges (e.g. risk, compliance, growth, customer intelligence, financial crime, operational efficiency) into end-to-end solution architectures.

Architecture & Platform Design

• Define secure, scalable, and sovereign-ready architectures spanning data platforms, AI/ML, GenAI, analytics, and cloud infrastructure.
• Lead the design of industry-specific AI solutions across banking, insurance, payments, capital markets, and regulatory use cases.
• Support solution design across hybrid, on-prem, and cloud environments, working closely with hyperscales and sovereign cloud platforms.

Go-To-Market & Industry Strategy

• Act as a core member of the FSI go-to-market leadership team, supporting country and regional strategies.
• Partner with sales and industry teams to shape propositions, solution narratives, and client-specific roadmaps.
• Provide structured feedback to Presight’s product and engineering teams to influence platform evolution based on real-world FSI requirements.

Technical Leadership & Enablement

• Coach and mentor other architects, engineers, and delivery teams working on Financial Services engagements.
• Lead executive workshops, whiteboarding sessions, and solution deep dives with both technical and non-technical stakeholders.
• Represent Presight as a thought leader in client forums, industry events, and executive briefings.

Delivery & Execution Oversight

• Support early-stage solution definition through implementation oversight, ensuring architectural integrity and alignment with client outcomes.
• Collaborate with system integrators, technology partners, and internal delivery teams to ensure successful execution.

Qualifications

• 10+ years of experience across enterprise architecture, cloud, data, data analytics, AI/ML, or large-scale technology platforms.
• Significant hands-on experience working with Financial Services institutions (banking, insurance, capital markets, payments, or regulators).
• Proven ability to define, evangelise and execute end-to-end technology roadmaps supporting large-scale transformation initiatives.
• Strong track record engaging and influencing senior executives and C-level stakeholders.
• Excellent analytical, communication, and stakeholder-facing presentation skills
• Proven experience working in Agile environments and leading distributed engineering teams

Technical Strengths

• Deep understanding of:
• Distributed systems and large-scale data platforms
• Cloud and hybrid architectures
• AI / ML and emerging GenAI architectures
• Global security, governance, and regulatory considerations in FSI
• Comfortable operating across architecture, strategy, and execution rather than purely technical delivery.

Communication & Leadership

• Exceptional communication skills with the ability to bridge business and technology conversations.
• Highly confident in executive presentations, whiteboarding, and facilitation.
• Natural mentor and coach with experience guiding senior engineers and architects.

Preferred Qualifications

• Enterprise, microservices, and event-driven architecture patterns
• End-to-end infrastructure and platform architecture (cloud, hybrid, containerized environments)
• Cloud platforms: Azure (mandatory), G42 Cloud, Huawei Cloud, AWS, GCP
• Frontend & Backend technologies: JavaScript, HTML, CSS, React, Node.js
• AI/ML architectures and Python-based development
• Databases and data platforms: Oracle, MySQL, MongoDB, MariaDB
• API & integration technologies: REST, SOAP, event streaming
• Identity & Access Management: IAM, SSO, OAuth, AD/LDAP
• Containerization & orchestration: Docker, Kubernetes
• Observability, logging, and performance tuning (e.g. ELK stack)
• DevOps & CI/CD pipelines and automation