Senior Delivery Consultant – Genai

Amazon Amazon · Big Tech · Stockholm, Sweden · Operations, IT, & Support Engineering

This role focuses on designing, implementing, and managing AWS AI/ML solutions for customers, acting as a trusted advisor and leveraging expertise in cloud architecture, machine learning algorithms, deep learning frameworks, and AI/ML service architecture. The consultant will guide customers through their cloud journey, focusing on the deployment and optimization of AI/ML services.

What you'd actually do

  1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  2. Providing technical guidance and troubleshooting support throughout project delivery
  3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
  4. Acting as a trusted advisor to customers on industry trends and emerging technologies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Required

  • 5+ years of experience in cloud architecture and implementation
  • Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
  • Machine learning algorithms and model development (supervised, unsupervised, reinforcement learning)
  • Deep learning frameworks (TensorFlow, PyTorch, MXNet)
  • Model optimization, tuning, and performance analysis
  • AI/ML service architecture (SageMaker, Bedrock, Comprehend, Rekognition)

Nice to have

  • AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
  • Experience with automation and scripting (e.g., Terraform, Python)
  • Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audience

What the JD emphasized

  • Machine learning algorithms and model development
  • Deep learning frameworks
  • Model optimization, tuning, and performance analysis
  • AI/ML service architecture (SageMaker, Bedrock, Comprehend, Rekognition)

Other signals

  • customer-facing AI solutions
  • design and implementation of AWS AI/ML services
  • machine learning algorithms and model development
  • deep learning frameworks
  • model optimization, tuning, and performance analysis
  • AI/ML service architecture (SageMaker, Bedrock, Comprehend, Rekognition)