Enterprise AI Solutions Architect: Scale AI Workflows

ACCESS PEOPLE (SINGAPORE) PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

ACCESS PEOPLE (SINGAPORE) PTE. LTD. is seeking a Solution Architect to drive transformation across customer engineering teams in Singapore.

You will configure environments, design workflows and run enablement sessions to ensure durable adoption of tooling in real production settings. You will work hands-on with developers while engaging leadership, guiding AI-enabled development and governance across multi-team programs.

Qualifications

Technical background in software engineering, infrastructure, DevOps, platform engineering or developer tooling.
Experience in customer-facing technical roles such as Solution Architect or Enterprise Architect.
Hands-on with engineering teams while coordinating with technical leadership.
Strong understanding of developer workflows, SDLC tooling, CI/CD, governance and enterprise environments.
Excellent communication to explain complex concepts to technical and executive audiences.
High ownership with the ability to execute in fast-moving, ambiguous environments.
Genuine passion for developer tooling and AI's impact on software engineering.

Responsibilities

Roll out the product across strategic engineering organisations, configuring environments, designing workflows and running hands-on enablement sessions.
Help developers integrate the tooling into production workflows, driving fast value and durable adoption.
Identify workflow friction and solve technical problems quickly with developers and platform teams.
Spot where the product should expand next within a customer's environment and enable company-wide adoption.
Design rollout strategies for new workflows, teams and platform groups, and partner on AI-assisted development at scale.
Build deep, trusted relationships across developers, platform teams, engineering leadership and executives.
Lead architecture reviews, technical working sessions and strategic planning discussions.
Advise customers on developer productivity, workflow design, governance and AI adoption strategy.
Coordinate across Sales, Product, Engineering and Customer Success to unblock progress.
Connect usage to outcomes like faster iterations, better productivity and engineering quality; relay value internally.
Turn successful deployments into repeatable patterns and feed feedback to Product/Engineering.