Field CTO

Chief Technology Officer AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes. Your Mission: The Role solving for better. • You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. • You won’t be presenting tech strategy on PowerPoint. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. • You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. • We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it. Your Responsibilities what you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark: Set the North Star — Strategy & Vision • Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. • Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IP • Patent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. • Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. • Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in < 90 days. Ship with Velocity — Platform Execution • Engineer for scale. Lead modular, production-grade AI stacks (ML infra, data pipelines, orchestration layers) with 99.9 % uptime. • Prototype > PowerPoint. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. • Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem • Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. • Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. • Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums." Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose. Functional Skills • Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. • Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. • First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. • Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. • Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. • Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. • Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. • Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly. Tech Superpowers • AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. • Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. • Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. • Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. • Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. • Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. • Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, TensorFlow/PyTorch, Go. • Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader." Experience & Relevance • Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. • Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, OpenAI; agentic workflows. •

15+ years leading high-growth engineering organizations; led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infrastructure on Google Cloud, Databricks, AWS, OpenAI; ability to define a multi-year roadmap, architect AI-native platforms, and tie technical bets to revenue growth and client ROI.

Architect the future of AI-native technology; define the 3-year roadmap for platform evolution and infrastructure scale; lead Engineering, R&D, and Strategic Partnerships; review PRs, critique latency trade-offs, and own deployment-first velocity; define future AI-native technology, build scalable platforms, and translate technical excellence into business advantage; set the North Star and strategy; build IP and accelerators; ship with velocity and maintain 99.9% uptime; embed reliability, security, and ethical guardrails into CI/CD; hire, coach, and scale engineering talent; forge partnerships with hyperscalers, ISVs, and research labs.