Chief Technology Officer

• Set the company's AI-first technology vision and roadmap
• Make build-versus-buy-versus-fine-tune, model selection, vendor evaluation, and AI suitability decisions
• Bring agentic systems, LLM applications, RAG, evaluation frameworks, and production guardrails into production
• Embed AI across planning, coding, testing, review, and documentation
• Serve as senior technical authority in discovery, solution architecture, technical due diligence, and executive presentations
• Partner with founders and commercial teams on pre-sales scoping, effort estimation, proposals, and technical risk pricing
• Own technical delivery quality, architecture standards, code quality, timelines, and client satisfaction
• Convert consultancy work into reusable accelerators, templates, and intellectual property
• Lead technology direction for Balencia, internal AI platforms, and custom client products
• Convert product vision into technical roadmaps and release plans
• Architect scalable multi-tenant systems, APIs, observability, performance, and cost efficiency
• Balance engineering resources between product development and consultancy commitments
• Own cloud/platform architecture, CI/CD, MLOps/LLMOps, and data engineering standards
• Enforce enterprise-grade security, data privacy, and compliance practices
• Manage cloud, AI/API, and tooling spend and track cost-to-value
• Define and track engineering metrics including delivery predictability, quality, uptime, and AI model performance
• Lead, mentor, and expand a team of 6–15 engineers, data scientists, and AI specialists
• Own technical hiring, role design, interview structures, and hiring standards
• Establish career paths, performance feedback loops, and technical ownership
• Lead architecture and critical code reviews
• Personally build proofs of concept and AI prototypes when needed
• Maintain close proximity to the codebase to identify issues early and drive engineering excellence

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