Manulife Logo

Manulife

Senior AI Platform Engineer

Posted 4 Hours Ago
Be an Early Applicant
In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
The Senior AI Platform Engineer will architect and deliver foundational services for AI platforms, enhancing multi-agent capabilities and ensuring secure, scalable integration with enterprise systems.
The summary above was generated by AI

We are building an Agentic AI Platform within Manulife that powers next‑generation intelligence across the enterprise—autonomous task execution, reasoning‑based workflows, tool‑calling, retrieval‑augmented capabilities, multi‑agent ecosystems, and safety‑governed automation.

As a Senior AI Platform Engineer for Manulife Asia, you will help architect and deliver the foundational services that enable AI agents to plan, reason, act, collaborate, and integrate deeply with business systems. You will work across cloud, distributed systems, orchestration frameworks, vector/memory stores, agent workflows, and safety/guardrail layers to ensure the platform is secure, scalable, and enterprise‑ready for Asia markets.

This role is ideal for engineers who blend strong systems engineering skills with curiosity for cutting‑edge AI patterns.

Position Responsibilities:

1. Agentic AI Platform Architecture & Core Services

  • Build platform components that power agent planning, reasoning, orchestration, tool‑calling, and multi‑step task execution.

  • Implement shared runtimes for multi‑agent coordination, state management, memory persistence, and messaging.

  • Design interoperable APIs/SDKs used by data scientists and developers to build agent‑powered applications.

2. Retrieval, Memory & Knowledge Integration

  • Develop standardized retrieval frameworks (search, embeddings, knowledge connectors) enabling agents to access enterprise knowledge safely.

  • Build and optimize short‑term memory, long‑term memory, and episodic state abstractions for agent workflows.

  • Integrate structured/unstructured data sources through unified connectors and retrieval bridges.

3. Tooling, Connectors & Ecosystem Enablement

  • Build tool interfaces that allow agents to invoke enterprise systems, APIs, databases, and automations.

  • Create reusable patterns for function/tool definitions, schema validation, safe execution, rate limiting, and auditability.

  • Work with regional business teams to onboard Asia‑specific systems and workflows into the global agent ecosystem.

4. Agent Safety, Governance & Observability

  • Implement enterprise-grade guardrails: content filtering, hallucination mitigation, safe‑action constraints, and policy‑driven approvals.

  • Build observability for agent workflows: traces, reasoning logs, action sequences, feedback loops, and performance metrics.

  • Provide mechanisms for feedback, oversight, and ongoing evaluation of agent behaviour.

5. Cloud, Infrastructure & Distributed Systems

  • Develop and operate scalable backend services supporting high‑traffic agent interactions, retrieval operations, and real‑time execution flows.

  • Use cloud‑native technologies (containers, orchestration, IaC, CI/CD) to deliver reliable, cost-efficient services.

  • Optimize runtime performance across CPU/GPU/accelerator workloads.

6. Developer Experience & Collaboration

  • Build templates, scaffolding, and CLI tools to enable quick development of agent‑powered applications.

  • Partner with global engineering, security, and AI governance teams to localize the platform for Asia’s regulatory and data‑residency needs.

  • Mentor data science teams on agentic design patterns and platform capabilities.

Required Qualifications:

  • Above 5 years' experience in backend/platform/cloud systems engineering.

  • Proficiency with Python and Java/Scala/TypeScript or similar languages for building backend services and automation.

  • Understanding of LLM systems, retrieval architectures, embeddings, vector stores, and prompt/tool orchestration fundamentals.

  • Hands‑on experience with cloud-native development: Kubernetes, containers, CI/CD.

  • Strong grasp of API design, asynchronous workflows, concurrency, and system reliability.

  • Familiarity with security, governance, and compliance concepts related to AI or data systems.

  • Ability to collaborate across global teams and translate business problems into platform capabilities.

  • Bonus point if you have experience with one or more of:

    • Agent frameworks or orchestration engines.

    • Multi-agent systems, task decomposition, or reasoning chain design.

    • Knowledge graphs, semantic search, or hybrid retrieval.

    • Guardrail and evaluation frameworks for LLMs.

    • Complex workflow systems (rule engines, workflow orchestrators, automation platforms).

    • Background in enterprise AI or regulated environments.

When you join our team:

  • We’ll empower you to learn and grow the career you want.

  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we’ll support you in shaping the future you want to see

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Working Arrangement

Hybrid

Top Skills

Api Design
Ci/Cd
Cloud-Native Technologies
Java
Kubernetes
Python
Scala
Typescript

Manulife Singapore Office

51 Bras Basah Rd, Singapore, Singapore , Singapore, 189554

Similar Jobs

9 Days Ago
In-Office or Remote
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior ML Platform Engineer will design and maintain the MLOps platform, implement automation for model deployment, and ensure system security, collaborating closely with Data Scientists and ML Engineers.
Top Skills: ArgoCloud ServicesKubeflow PipelinesKubernetesPythonRaySparkTerraform
9 Days Ago
In-Office or Remote
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.
Top Skills: BigQueryData LakeDbtFlinkHadoopJavaKafkaKotlinPythonScalaSnowflakeSparkSpring BootSQL
6 Days Ago
Easy Apply
In-Office
Singapore, SGP
Easy Apply
Senior level
Senior level
Financial Services
The role involves integrating AI models across business domains, providing solutions, maintaining system availability, and improving tech practices.
Top Skills: AIAPIsJavaKafkaLangchainMicroservicesPythonSpring BootSpringcloudVector Db

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account