SalaryPeak

AI Solutions Architect / Tech Lead

ENTRE CONSULTING PRIVATE LIMITED
Singapore 5+ years Posted Jan 6, 2026

Salary Range

SGD 96,000 - SGD 150,000 /year

SGD 8,000 - SGD 12,500/month

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Skills Required

Technical StandardsJSONCustomerfacingArchitectArchitecturalArchitectsCompoundingProduct EngineeringSellingB2BSolution ArchitectureOperating SystemsJavaTechnical LeadershipBridgeSoftware Development

Job Description

Tech Lead / AI-First Solution Architect

(Title flexible based on experience)

About the Company

Our Client is a fast-growing technology company building an AI-enabled workflow and operations platform for complex, long-cycle business processes.

The platform is already used both internally and by external enterprise and mid-market clients to replace manual work, simplify operations, and scale output without scaling headcount.

Rather than selling AI as a concept, the company focuses on measurable productivity and cost outcomes. AI is embedded deeply into day-to-day workflows, enabling small teams to operate at enterprise scale.

The company is now seeking a Tech Lead with strong AI-first thinking and business execution capability to help scale this foundation into a robust, extensible platform.

The Role

This is not a traditional Engineering Lead role.

You will act as the bridge between:

  • Business intent and AI execution

  • Customer pain points and system design

  • International, lean teams and scalable outcomes

The role combines technical leadership, AI-native system thinking, and commercial awareness. You will work closely with founders and senior stakeholders, but you are not required to be customer-facing on a daily basis.

Key Responsibilities

1. AI-First System & Product Leadership

  • Design and evolve AI-embedded workflow systems for both internal and external use cases

  • Apply AI to automate multi-step processes, decision logic, and operational judgment

  • Build internal tooling where AI accelerates further AI development

  • Balance customer-specific adaptations with standardized, repeatable architectures

2. Business-Driven AI Implementation

  • Translate real operational and customer problems into deployable AI solutions

  • Distinguish where automation is sufficient versus where AI creates compounding value

  • Design solutions that reduce cost, manual effort, and dependency on human intervention

  • Support the roadmap toward agent-based or semi-autonomous systems

3. Technical Leadership in a Lean Environment

  • Lead and mentor a small, high-output engineering team

  • Drive execution from the ground up while aligning with top-down priorities

  • Set pragmatic technical standards that favour speed, clarity, and maintainability

  • Make effective build-vs-buy decisions under resource constraints

4. AI Thought Partnership

  • Stay current on AI models, tools, and implementation patterns

  • Apply AI trends with judgment rather than hype

  • Help the organisation adopt AI in ways that genuinely simplify work

  • Contribute to regional and product expansion strategies

Who We’re Looking For

Core Requirements

  • AI-native mindset — AI is your default design layer, not an add-on

  • Strong business and operational understanding

  • Ability to move fluidly between architecture, execution, and outcomes

  • Comfortable working in ambiguity and early-stage environments

  • Outcome-driven and pragmatic in approach

Experience That Fits Well

  • Background in product engineering, solution architecture, or applied AI systems

  • Experience building B2B platforms, internal tools, or workflow-heavy products

  • Exposure to complex operational domains (e.g. enterprise processes, multi-step workflows) is a plus

  • Consulting or “builder-translator” profiles are highly relevant

  • Comfortable working with distributed or cross-border teams in an English-speaking environment

This Role Is Not

  • A pure research or academic AI role

  • A hands-off people-management position

  • A narrow, single-function engineering role

Why This Role

  • Real AI in production, solving real operational problems

  • High ownership and visible impact on product direction

  • Lean team, fast decisions, minimal bureaucracy

  • Opportunity to shape how AI is embedded into everyday business workflows

  • Long-term path toward senior technical or platform leadership

Compensation

Competitive and seniority-aligned, with flexibility based on experience and scope.
Details to be discussed with shortlisted candidates.

EA: 202532453H
[email protected]

About ENTRE CONSULTING PRIVATE LIMITED