Overview In this Delivery Consultant role, you design, implement and manage AWS AI/ML and GenAI solutions for enterprise customers. You work with cross-functional teams to ensure these solutions meet business goals and technical requirements, guiding architecture, migration, and best practices throughout the project lifecycle. You act as a trusted advisor on AI/GenAI and cloud strategies, focusing on scalable, secure deployments and measurable business impact. This role offers exposure to diverse industries and a chance to influence enterprise AI adoption at scale.
Compensation / Benefits- health insurance (medical, dental, vision, prescription)
- 401(k) matching
- paid time off
- parential leave
- RSUs and sign-on incentives
- flexible work options and work-life balance
Responsibilities- Lead end-to-end AI/ML and GenAI projects from requirements to deployment and monitoring
- Design and implement high-performance, scalable ML pipelines
- Architect scalable ML solutions and MLOps using AWS services, with GenAI where applicable
- Collaborate with Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications to operationalize data and models
- Serve as a trusted advisor on AI/ML, GenAI, and cloud architectures
- Share knowledge through mentoring, training, and reusable artifacts
- Ensure compliance with industry standards and support customers' AI/GenAI and cloud adoption strategies
- Travel to customer sites as needed
Key requirements- 3+ years of software development or scripting experience
- 3+ years building ML/GenAI models for business applications
- Experience with cloud ML services (e.g., Amazon SageMaker) and GenAI applications
- collaboration across cross-functional teams
- customer-focused advisory mindset
- mentoring and knowledge sharing
- AWS SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch
- LangChain, LangGraph, LlamaIndex or similar tools
- PyTorch or TensorFlow for deep learning
