Searce — an engineering-led, AI-native modern tech consultancy dedicated to futurifying business operations through AI, data, and cloud — is hiring a Field CTO in Dubai: a hands-on, builder-first technology leader who architects AI-native platforms, ships production-grade ML infrastructure, and unlocks net-new revenue streams for enterprise clients. This is not a strategy-deck role. This is for a 15+ year engineering leader who still reviews PRs, whiteboards latency trade-offs, prototypes before presenting, and thinks deployment-first — with deep experience in Google Cloud, MLOps, LLM stacks, agentic AI workflows, and distributed systems, targeting ≥ 30% client ROI uplift and 10+ patents in 2 years.
About Searce — The ‘Process-First’ AI-Native Modern Tech Consultancy
Company: Searce — an engineering-led, AI-native modern tech consultancy rewriting the rules of enterprise transformation through math, technology, and clarity of purpose
Platforms: futurify.ai and evlos™ — Searce’s proprietary AI-native platform ecosystem targeting enterprise process transformation and intelligent engineering outcomes
Mission: Co-innovate with clients to futurify operations and embed lasting competitive advantage — building alongside clients for real transformation, not vanity metrics
Culture: Solvers. Futurists. Always-in-beta, high-ownership culture. “Possible. It is.” mindset. Great sense of humour. Bold experimenters. Tireless iterators.
Why This Field CTO Role Stands Out in Dubai 2026
Architect — Not Advisor: Define the 3-year technology roadmap for futurify.ai and evlos™, lead modular AI stack development, and file 10+ patents in 2 years — genuine IP creation and platform architecture ownership at the highest level
Builder-First Leadership: “Code by day 1” rule — a CTO who still writes, reviews, and debugs code daily, maintains hands-on architecture ownership, and proves designs with benchmarks not slideware
Commercial & Technical Authority: Tie every architectural bet to revenue growth, margin, and client ROI (≥ 30% uplift target) — a role that bridges R&D, product, and GTM with engineering-first execution
Agentic AI Frontier: Multi-agent orchestration, Agent-to-Agent protocols, hybrid human-AI workflows, and adaptive learning loops — leading the most consequential AI platform engineering agenda in enterprise consulting
Position Overview
This Field CTO at Searce in Dubai heads Engineering, R&D, and Strategic Partnerships from a technology standpoint — defining the 3-year platform roadmap for futurify.ai and evlos™ on Google Cloud, tying every architectural decision to P&L and client ROI, filing 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols, leading modular production-grade AI stacks (ML infra, data pipelines, orchestration layers) with 99.9% uptime, maintaining a “code by day 1” culture that reduces iteration loops by 40% via agentic automation, embedding SRE, security, and ethical HITL checks into CI/CD, hiring and developing world-class engineering talent, forging deep alliances with hyperscalers, ISVs, and research labs, and serving as Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence, and engineering org performance.
Why This Role Matters: As Field CTO at Searce in Dubai, you are not managing a technology organisation from a distance — you are the architect, the builder, the standard-setter, and the commercially accountable leader of an AI-native engineering capability that directly determines whether enterprise clients achieve the ROI that Searce promises them. When your first-principles platform design creates a defensible technical moat that competitors cannot replicate in two years, your agentic AI workflow reduces a client’s operational process cycle time by 40%, your patent filing locks a genuinely novel claim on an Agent-to-Agent protocol methodology that Searce invented, or your hands-on code review maintains the velocity and quality standard of a 200-person engineering organisation that still feels like a 10-person founding team — you are not playing a CTO role. You are living one. That is what Searce means by ‘real solvers’.
Key Responsibilities
Set the North Star — Strategy, Vision & Platform Roadmap
- Architect the future — define the 3-year technology roadmap for futurify.ai and evlos™ on Google Cloud, covering platform evolution, infrastructure scale, and the AI-native product development methodology that underpins Searce’s commercial competitive advantage
- Tie technology to P&L — ensure every architectural decision is explicitly linked to revenue growth, margin improvement, and client ROI, with a target of achieving ≥ 30% ROI uplift for enterprise clients through AI-native transformation programmes
- Serve as Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence, and engineering org performance — owning the outcomes of the engineering organisation, not just its inputs
Build the Moat — Innovation, IP & Patent Filing
- File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols — creating defensible IP that compounds Searce’s competitive moat and commercial positioning as an AI-native engineering leader
- Run continuous prior-art sweeps in partnership with legal — ensuring patent claims are genuinely novel, defensible, and strategically valuable across Searce’s technology platform portfolio
- Accelerate R&D through internal accelerators — spinning up ROI dashboards with self-improving ML and delivering production pilots in less than 90 days from inception to live deployment
Ship with Velocity — Platform Execution & Engineering Culture
- Lead modular, production-grade AI stacks — ML infra, data pipelines, and orchestration layers — maintaining 99.9% uptime with full SRE, security, and ethical Human-in-the-Loop (HITL) checks embedded into CI/CD pipelines
- Maintain a “code by day 1” culture — reducing iteration loops by 40% via agentic automation, keeping architecture decisions grounded in deployable reality rather than theoretical elegance
- Embed guardrails and reliability from the ground up — zero-trust security, privacy-by-design, and ethical AI standards as non-negotiable engineering requirements across every platform component
- Forge deep alliances with hyperscalers, ISVs, and research labs — representing Searce’s technical narrative at industry forums and translating engineering excellence into strategic commercial partnerships
Grow the Engine — Engineering Talent, Culture & Ecosystem
- Hire, coach, and retain world-class engineers — scaling the organisation from 10 to 200+ while preserving velocity, quality standards, and the “solver” culture that makes Searce’s engineering capability distinctive
- Codify standards, design reviews, and architectural principles — building the institutional engineering knowledge base that scales consistently across all squads and client engagements
- Double the internal promotion rate year-on-year — investing in people development as a strategic priority that compounds engineering capability and reduces talent acquisition dependency
Experience, Qualifications & Technical Profile
Essential Requirements
- 15+ years leading high-growth engineering organisations — with demonstrated experience building teams from 10 to 200+ while preserving velocity, technical quality, and engineering culture
- Architecture and AI execution — led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infrastructure on Google Cloud, Databricks, AWS, and/or OpenAI; agentic workflow design and deployment
- Advanced degree (MS or PhD) in Computer Science, AI, Engineering, or an equivalent quantitative discipline — combined with a proven record of industry disruption and builder-first execution
- Cross-functional business impact — bridged R&D, product, and GTM to deliver ≥ 30% ROI improvements; trusted by founders and Fortune 500 executives alike across complex enterprise programmes
- High-stakes technical decisioning — navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity for executive and investor audiences
- Hands-on engineering commitment — writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware; maintains active technical depth alongside executive leadership responsibilities
Bonus Points — You Will Thrive at Searce If You Have
- Designed or scaled a 100+ engineer AI platform organisation from scratch
- Filed or secured 5+ AI or distributed-systems patents
- Created or maintained widely adopted open-source software in MLOps or vector databases
- Recognised technical authority — Google Dev Champion, AWS or Databricks certified expert
- Battle-tested experience — has broken production systems, learned from them, and automated safeguards to prevent repeats
- Founder energy — combines product vision, engineering heart, and ownership gut with bias for rapid prototyping and decision velocity within Searce’s ‘Happier’ DNA
About Searce — Real Solvers. Real Outcomes. Ready to Futurify.
Searce is an engineering-led, AI-native modern tech consultancy that co-innovates with enterprise clients to futurify operations — making processes smarter, faster, and better through math, technology, and clarity of purpose. Not for vanity metrics. For transformation that embeds lasting competitive advantage. Across futurify.ai and evlos™, Searce builds AI-native platforms, ships production ML infrastructure, and delivers measurable business outcomes for the enterprises that choose to build their AI future with them. If you are the kind of technology leader who questions why things are done a certain way — and then identifies three better ways to do it, prototypes the first one before lunchtime, and ships the production version before the quarterly review — Searce wants to hear from you. Don’t just send a resume. Send a statement.
Career Excellence: Architect AI-native platforms, file patents, lead engineering at scale, and deliver ≥ 30% client ROI — Field CTO at Searce, Dubai UAE.
Who Should Apply?
- Hands-On CTO / VP Engineering — AI-Native Platforms: With 15+ years of engineering leadership experience — building and scaling high-growth engineering organisations on Google Cloud, MLOps, LLM stacks, and agentic AI from 0→1 and 1→100
- AI Platform Architects — MLOps & LLM Production: With demonstrable experience leading modular, production-grade AI infrastructure delivery — distributed systems, data pipelines, vector databases, and Agent-to-Agent protocol development at enterprise scale
- Builder-First Technology Leaders — Python/TensorFlow/Go: Who write, review, and debug code daily alongside executive responsibilities — deploying architecture decisions through working systems, not slide decks
- AI Patent & IP Creators — Engineering Innovators: With experience filing patents in AI, distributed systems, or ML methodology — creating defensible intellectual property that compounds commercial competitive advantage
- Dubai-Based Enterprise Tech Leaders — Google Cloud & AI: Seeking a Field CTO seat at an AI-native engineering consultancy in Dubai — where hands-on platform building, commercial P&L accountability, and frontier AI development combine in a single, extraordinary leadership role
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