AWS AI Engineer

Accenture in the Philippines; Philippines; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Accenture in the Philippines is seeking an AWS Cognitive Engineer to lead the technical direction of GenAI-powered solutions. You will design, develop, and deploy agentic AI applications that translate advanced AI capabilities into real business outcomes, collaborating with architects and engineers to ensure secure, scalable delivery.

The role emphasizes hands-on AWS GenAI, Bedrock, SageMaker, and GPU-accelerated compute, with a focus on performance, reliability, and governance.

Qualifications

• 3 yrs or more experience building solutions on AWS.
• Proven experience with AI/ML, GenAI, or LLM-based applications.
• Strong proficiency in Python and API-driven integrations.
• Solid understanding of cloud-native and microservices architectures; AI model lifecycle and MLOps; GPU-accelerated compute environments.
• Hands-on experience with Docker and Kubernetes is highly desirable.
• Strong collaboration, communication, and stakeholder-management skills.
• Flexible to report onsite at any of the Manila office locations: Alabang, BGC, Cubao, and Mandaluyong City.

Responsibilities

• Own the technical direction and architecture of custom software solutions, leading teams through design and delivery.
• Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
• Design, develop, and deploy agentic AI and GenAI-powered applications leveraging AWS platforms.
• Collaborate with architects, engineers, and stakeholders to deliver secure, scalable AI solutions.
• Implement MLOps, CI/CD, monitoring, and performance optimization best practices.

Skills

AWS

GenAI

LLM-based apps

Python

APIs

Docker

Kubernetes

MLOps

CI/CD

Tools

Amazon Bedrock

AgentCore

Strands Agents

Amazon Nova

SageMaker AI

Docker

Kubernetes

APIs

Job description

Job Description

Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.

Hiring an AWS Cognitive Engineer to build GenAI and AI agent solutions using Amazon Bedrock, SageMaker, and NVIDIA GPU-powered infrastructure. Job Summary: As an AWS Cognitive Engineer, you will design, develop, and deploy agentic AI and GenAI-powered applications that translate advanced AI capabilities into real business outcomes. This role partners closely with architects, engineers, and stakeholders to deliver secure, scalable, and high-performance AI solutions leveraging AWS AI platforms, foundation models, and accelerated compute infrastructure.

What You’ll Do
Serve as a Subject Matter Expert (SME) in AWS, Generative AI, and AI agent architectures.
Design and implement LLM-powered and agent-based applications aligned with business use cases.
Build AI solutions using: Amazon Bedrock & Amazon Bedrock AgentCore Strands Agents Amazon Nova foundation models.
Develop AI workflows including reasoning, orchestration, RAG, and tool execution.
Train, fine-tune, and deploy models using Amazon SageMaker AI.
Optimize AI workloads using AWS accelerated compute: Amazon EC2 P5 and P6 instances UltraServers and UltraClusters powered by NVIDIA GPUs AWS Trainium (training) AWS Inferentia (inference).
Architect scalable and resilient microservices and containerized AI applications.
Apply MLOps, CI/CD, monitoring, and performance optimization best practices.
Ensure adherence to security, governance, and responsible AI standards.
Support project estimation, planning, and delivery milestones for AI initiatives.

Tech Stack:
AI / GenAI: Amazon Bedrock, AgentCore, Strands Agents, Amazon Nova
ML Platform: Amazon SageMaker AI
Compute: EC2 P5 & P6 (NVIDIA GPUs), UltraServers, UltraClusters
Accelerators: AWS Trainium, AWS Inferentia
Languages/Tools: Python, APIs, Docker, Kubernetes

Job Qualifications

Job Qualifications Job Qualifications What We’re Looking For: 3 yrs or more experience building solutions on AWS.
Proven experience with AI/ML, GenAI, or LLM-based applications.
Strong proficiency in Python and API-driven integrations.
Solid understanding of: Cloud-native and microservices architectures; AI model lifecycle and MLOps; GPU-accelerated and high-performance compute environments.
Hands-on experience with Docker and Kubernetes is highly desirable.
Strong collaboration, communication, and stakeholder-management skills.
Flexible to report onsite at any of the Manila office locations: Alabang, BGC, Cubao, and Mandaluyong City). Minimum 3 year(s) of experience is required.