AWS AI Engineer

Accenture in the Philippines; Philippines; On-site; PHP 1,339,000 - 2,678,000; Full time

Job summary

Accenture in the Philippines seeks an AWS Cognitive Engineer to design, develop, and deploy GenAI-powered AI agent solutions using Amazon Bedrock, SageMaker, and NVIDIA GPU-powered infrastructure. You will serve as SME in AWS, GenAI, and AI agent architectures, delivering secure, scalable AI applications aligned with business goals.

You will optimize AI workloads, orchestrate RAG and tool execution, and contribute to estimations and delivery milestones while collaborating with cross-functional

Qualifications

• 3+ years of experience building solutions on AWS and AI/ML applications.
• Proficiency in Python and API-driven integrations.
• Hands-on experience with Docker and Kubernetes and cloud-native architectures.

Responsibilities

• Design, develop, and deploy agentic AI and GenAI-powered applications on AWS platforms.
• Lead architecture decisions for scalable, secure, and high-performance AI solutions.
• Collaborate with architects and engineers to translate AI capabilities into business outcomes.
• Implement MLOps practices and CI/CD for AI workloads.

Skills

AWS

GenAI

Python

APIs

Docker

Kubernetes

MLOps

Microservices

GPU compute

AI model lifecycle

Tools

Docker

Kubernetes

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 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