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Open nowPosted today

Head of Agentic Engineering & Solution Architecture

QATALYST PTE. LTD.

Pay
SGD 15,000 – SGD 16,000 a Monthly
Where
Central, Singapore
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Your applicationOpen nowHead of Agentic Engineering & Solution ArchitectureQATALYST PTE. LTD. · Central, Singapore

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Share of postings closed within
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  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

The posting

Qatalyst is building the GenAI carbon-intelligence platform for Tier-1 Carbon Market actors and banking clients across Southeast Asia. We need a hands-on technical leader who can own the architecture, the platform, and the team taking it from early-stage to enterprise-grade — and who can personally lead the shift into multicloud, agentic, and causal AI, not just direct others through it.

What You'll Own

  • Technology strategy. Set the technology vision, strategy, and roadmap with executive leadership, aligning platform scalability, product velocity, and client commitments with business growth.
  • The agentic AI platform. Build and ship production GenAI systems (RAG, vector search, multi-step agentic workflows) that automate complex, real-world calculations — in our case, carbon-footprint analysis across supply chains — for Tier-1 enterprise clients.
  • The engineering team. Lead and grow a team of 10+ engineers, setting the technical bar and the delivery culture.
  • Cloud cost & FinOps. Own cloud architecture and drive FinOps governance — tagging, rightsizing, chargeback — to materially cut spend without compromising resilience.
  • Client Technical onboarding. Design and ship self-configuring onboarding systems that collapse enterprise onboarding time from days to minutes or hours, shortening time-to-value for new clients.
  • Agentic compliance. Automate risk and compliance audit workflows — evidence collection, submission, and tracking across 100+ controls — cutting audit effort from days to hours a month.
  • Engineering operations. Establish architecture governance, ADRs, DevSecOps CI/CD, and automated release gates for AI features, so the platform scales without accumulating technical debt.
  • Data & LLMOps. Build the data platform (lakehouse, streaming) and LLMOps governance — prompt registry, versioned evaluation, drift monitoring — for real-time analytics and measurable AI release quality.
  • Resilience. Design a multi-region, highly available platform (99.9%+) with disaster recovery built in from the start, not retrofitted.
  • Client and stakeholder trust. Act as the trusted technical partner to client-side CROs, CTOs, and compliance leaders, from requirements through production deployment.
  • Industry voice. Represent Qatalyst's platform externally — to regulators, Tier-1 banks, and fintech partners — as a credible technical voice for the category.

What You'll Bring

  • Hands-on, not just managerial. This role requires you to still write architecture, review code, and personally lead the hardest technical problems — not delegate the transition into agentic and causal AI and watch it from the roadmap.
  • Proven ability to lead a technical transition into multicloud, agentic, and causal AI. This is the single most important capability for this role. We need evidence you've done it yourself, not that you've overseen someone else doing it.
  • A track record shipping production GenAI/agentic platforms at real scale — thousands of documents, hundreds of thousands of events, real transaction throughput, real active users — not pilots or proofs of concept.
  • Multi-cloud architecture depth (AWS and Azure at minimum), with direct experience running FinOps governance that delivered material, measurable cost reductions — 50%+ is the bar, not the ceiling.
  • Regulatory fluency relevant to SEA/EU financial services — comfort translating frameworks like MAS TRM and NIST into reusable security reference architectures, not just reading them.
  • Experience earning technical credibility with Tier-1 enterprise buyers — banks, energy-security clients, or equivalent — as the person in the room when a CRO or CTO decides whether to trust the platform.
  • A bias for measurable outcomes over activity. Every responsibility above should be something you can point to with a number attached, because that is how this role will be evaluated too.

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