AI Engineering Lead

About the job
At Helius Technologies, we help organisations deliver technology outcomes that work in the real world. Our teams support complex technology initiatives across Asia and the Middle East particularly in regulated and enterprise environments where reliability, governance, and execution matter.
Our focus is simple: to be a trusted partner in technology transformation — delivering outcomes reliably and built to last.

We are currently looking for a AI Engineering Lead to join our team.

In this role, you will work with engineering teams, stakeholders, and delivery leads to support the execution of technology initiatives. The role is suited to professionals who combine strong technical capability with a structured and accountable approach to delivery.

If you are interested in opportunities with Helius, you may apply through the relevant job listing or share your profile with us at [email protected].

We value individuals who bring depth, accountability, and a strong commitment to quality

THE ROLE
The AI Engineering Lead is the technical authority of the AI Platform Engineering. This role owns the end-to-end engineering of all AI solutions — from solution design alongside the Enterprise and Cloud Architects through to production delivery — and is accountable for the technical quality of everything builds or procures.
The role is responsible for defining designs, builds, tests, deploys, governs, and operates AI solutions on AWS. This includes Generative AI, Agentic AI, Retrieval-Augmented Generation, document intelligence, LLM integration, AI workflow orchestration, MLOps / LLMOps, and reusable AI engineering standards.
The AI Engineering Lead works closely with Enterprise Architects, Cloud Architects, Cloud Platform Engineers, Data Science & Analytics teams, AI Governance, and delivery teams to ensure AI solutions are secure, scalable, reusable, cost-aware, and aligned to enterprise technology standards.
This is a hands-on leadership role. The AI Engineering Lead is expected to guide solution design, review technical implementation, lead the engineering team, oversee vendor-delivered AI solutions, and establish production-grade engineering discipline across the AI Platform Engineering function.

WHAT WE'RE LOOKING FOR
Essential
7+ years of software or AI engineering experience, with at least 3 years in a senior technical lead or architect role
Strong hands-on experience designing and delivering AI / ML / GenAI solutions in production environments.
Deep understanding of AWS AI and cloud-native services, preferably including Bedrock, SageMaker, Textract, Comprehend, OpenSearch, Lambda, API Gateway, Step Functions, and S3.
Strong practical knowledge of Generative AI engineering, including LLM integration, prompt engineering, RAG architecture, embeddings, vector stores, evaluation frameworks, and hallucination controls.
Experience designing secure, scalable, observable, and maintainable production systems.
Experience providing technical oversight of vendor-delivered AI solutions — reviewing designs, approving approaches, managing technical handover
Production-grade Python — CI/CD, testing, observability, code review
Line management or technical leadership experience — ability to lead, mentor and develop an engineering team
Experience in a regulated industry — financial services or insurance strongly preferred
Desirable
AWS certifications: Solutions Architect Professional, Machine Learning Specialty
Experience with Agentic AI, Bedrock Agents, AgentCore, or similar agent orchestration frameworks.
Experience with LLMOps, MLOps, AI observability, model evaluation, model registry, and production model monitoring.
Familiarity with AI risk management, model governance, responsible AI controls, and regulated data environments.
Experience with vector databases or semantic search technologies such as OpenSearch, pgvector, Pinecone, Weaviate, or equivalent.
Experience working across both classical ML productionisation and modern GenAI solution delivery.

Kindly revert with below details in addition to updated resume to [email protected] or whatsapp (+6596310776 ) for faster response.

Full Name as per the Passport or IC:
Current Salary
Exp Salary (SGD)
Notice period (availability)
Reason for Change
Residential Status is Singapore

Why Join Helius:
At Helius Technologies, you will work on complex technology initiatives with leading enterprises across Asia and the Middle East, alongside a diverse and experienced engineering community.
You will collaborate with 1,000+ technology professionals across a regional delivery network spanning 7 countries, supporting enterprise clients in BFSI, healthcare, and the public and private sectors, backed by 20+ years of enterprise technology delivery experience.
We operate in environments where reliability, accountability, and disciplined execution matter — and where strong engineering and structured delivery come together to drive meaningful outcomes