Senior Associate/Assistant Vice President, Agent Harness/Assurance Specialist

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion. 

Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations. 

Operating on commercial principles, we seek to deliver sustainable returns over the long term. 

We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.  

For more information on Temasek, please visit www.temasek.com.sg.

For Temasek Review 2025, please visit www.temasekreview.com.sg.

For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf.

Introduction

As Temasek deploys AI agents into production investment workflows, the question of whether those agents are behaving correctly, consistently, and within their intended scope becomes both a technical engineering challenge and a governance imperative. Agent behaviour cannot be verified by reading code alone — it must be tested empirically, monitored continuously, and evaluated against defined behavioural specifications that encode what the agent should and should not do. 

The Agent Harness / Assurance Specialist is a specialist engineering and evaluation role responsible for designing and operating the systems that verify, validate, and continuously monitor the behaviour of Temasek's AI agents. This role combines context engineering (the design of agent harnesses that shape and constrain agent behaviour), AI evaluation (the systematic assessment of whether agents meet their behavioural specifications), and operational assurance (the detection and management of agent drift, failures, and out-of-scope behaviour in production). It is a rare, high-value specialisation at the frontier of enterprise AI deployment practice.

Responsibilities

Agent harness and context engineering

• Design and implement agent harnesses — the scaffolding of system prompts, context injection patterns, tool permission scopes, memory structures, and behavioural constraints that shape how AI agents operate within intended boundaries.
• Develop and maintain behavioural specifications for deployed agents, including intended behaviour, permissible tool usage, decision-making boundaries, escalation triggers, and prohibited actions, serving as the ground truth against which agent behaviour is evaluated.
• Engineer dynamic context management systems, determining what information is injected into agent context at each workflow step, how context is prioritised and filtered, and how context is managed across multi-turn interactions.
• Build and maintain prompt versioning and change management infrastructure, tracking prompt changes across agent versions, evaluating behavioural impacts before production deployment, and maintaining rollback capability for agent configurations.
• Research and apply emerging techniques in context engineering and behaviour steering, including constitutional AI prompting, chain-of-thought elicitation, self-critique patterns, and structured output enforcement, translating research insights into production improvements.

AI behaviour evaluation and testing

• Design and operate evaluation frameworks for deployed agents, including automated evaluation suites assessing task completion accuracy, instruction-following fidelity, tool-calling correctness, edge-case handling, and adversarial robustness.
• Build and maintain evalua