AWS Cognitive Engineer

Hiring an AWS Cognitive Engineer to build GenAI and AI agent solutions using Amazon Bedrock, SageMaker, and NVIDIA GPUpowered infrastructure.

Job Summary:

As an AWS Cognitive Engineer, you will design, develop, and deploy agentic AI and GenAIpowered applications that translate advanced AI capabilities into real business outcomes. This role partners closely with architects, engineers, and stakeholders to deliver secure, scalable, and highperformance 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 LLMpowered and agentbased 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, finetune, 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

What We're Looking For:

• 3 yrs or more experience building solutions on AWS.
• Proven experience with AI/ML, GenAI, or LLMbased applications.
• Strong proficiency in Python and APIdriven integrations.
• Solid understanding of:
  • Cloudnative and microservices architectures
  • AI model lifecycle and MLOps
  • GPUaccelerated and highperformance compute environments
• Handson experience with Docker and Kubernetes is highly desirable.
• Strong collaboration, communication, and stakeholdermanagement skills.
• Flexible to report onsite at any of the Manila office locations: Alabang, BGC, Cubao, and Mandaluyong City)

#LI-PH

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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