Tech Solutions Lead

About the role

A technically sharp and commercially curious Solution Architect with a strong foundation in enterprise technology design, AI integration, and hands-on software delivery. Comfortable bridging the gap between business needs and technical execution - designing practical, scalable solutions while staying close to the code. Brings experience across consulting, rapid prototyping, and multi-system architecture, with a genuine enthusiasm for the opportunities that generative AI and modern engineering practices unlock for clients and teams. PROFESSIONAL EXPERIENCE Solution Architecture & Technical Design Design and document end-to-end solution architectures aligned to business requirements, security, and scalability. Contribute to reference architectures and architectural patterns across project engagements. Evaluate and recommend technology stacks - including AI platforms and development tooling - with clear rationale. Support architecture reviews and ensure solutions align with enterprise standards and governance requirements. Engineering Delivery Work closely with engineering teams to translate architecture into working, production-quality systems. Apply modern engineering practices: clean code, CI/CD pipelines, testing strategies, and observability. Participate in code and design reviews, sharing architectural context and raising quality across the team. Comfortable getting hands-on - contributing code and debugging when it matters most. Rapid Prototyping & AI Innovation Lead proof-of-concept builds to de-risk architecture decisions and validate solution approaches quickly. Use AI-assisted development tools (coding copilots, LLM APIs, agent frameworks) to accelerate delivery and exploration. Translate prototype learnings into well-structured, production-ready architectures and delivery plans. Stay current with the fast-moving generative AI landscape and bring relevant ideas to client engagements. Consulting & Stakeholder Engagement Engage directly with business and technical stakeholders to understand requirements and shape practical solutions. Support workshops, solution design sessions, and technical discovery activities. Communicate architectural thinking clearly - adapting the level of detail for different audiences. Contribute to proposals, assessments, and solutioning work as part of client engagements. TECHNICAL CAPABILITIES Architecture & Design Enterprise Solution Architecture, Microservices, Event-Driven and API-first design Cloud-native systems, distributed architectures, integration patterns Security-by-design, scalability and resilience principles Artificial Intelligence & Emerging Technology Generative AI platforms and Large Language Models (LLMs) AI agents, intelligent automation, and prompt engineering AI-assisted development workflows and tooling Engineering & Delivery Modern software engineering, DevOps, CI/CD pipelines Observability, reliability engineering, and testing strategies Rapid prototyping and proof-of-concept development Python, modern application frameworks, API-based architectures WHAT SETS THIS ROLE APART You'll work at the intersection of architecture, AI, and consulting - not siloed in one discipline. Real exposure to generative AI in enterprise settings - not just theory, but hands-on delivery. Mentorship and growth from senior technology and business leadership while owning meaningful pieces of complex client solutions. A culture that values engineering quality, intellectual curiosity, and getting things built. TOOLS & PLATFORMS AI & Language Models OpenAI API (GPT-4 and beyond) - prompt engineering, function calling, embeddings Anthropic / Claude - enterprise AI integration, Claude API, responsible AI workflows Data & Analytics Databricks - unified data and AI platform, Delta Lake, MLflow, notebooks Snowflake - cloud data warehousing, data sharing, and analytics at scale Cloud & Infrastructure Azure / AWS / GCP - cloud-native architectures, managed services, IAM, networking Docker / containerised deployments, cloud-managed compute and serverless patterns Development & Source Control GitHub / Git - version control, branching strategies, pull request workflows, CI/CD integration FastAPI / Python frameworks - API development, backend services, AI application scaffolding EDUCATION Bachelor's Degree in Computer Science, Software Engineering, or a rela