GenAI Architect

GenAI Architect

Location: Malvern, PA (1st week onsite)

Duration: 12 Months

Roles and Responsibilities:

• Solution Architecture: Design and implement scalable GenAI solutions across AWS and Azure environments, ensuring security, compliance, and performance.
• Cloud Integration: Architect multi-cloud platforms leveraging AWS Bedrock, Azure OpenAI, and related services for LLM-based applications.
• Infrastructure as Code: Implement automation using Terraform, CloudFormation, or Azure Resource Manager templates.
• Model Lifecycle Management: Fine-tune, optimize, and deploy models using AWS SageMaker, Azure Machine Learning, and integrate with enterprise APIs.
• Security & Compliance: Apply best practices for data protection, responsible AI, and regulatory compliance (GDPR, CCPA, HIPAA).
• Technical Leadership: Mentor engineering teams on GenAI, MLOps/LLMOps, and agentic AI system design.

Cloud Expertise:

• AWS: Bedrock, SageMaker, Lambda, ECS/EKS, S3.
• Azure: Azure OpenAI, Azure ML, Cognitive Services, AKS.
• Programming: Python (TensorFlow, PyTorch, HuggingFace), plus Java/.NET for backend microservices.
• GenAI Tools: AWS Bedrock, OpenAI APIs (GPT, DALL·E, Whisper), LangChain, RAG pipelines.
• DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, observability tools.
• Soft Skills: Strong communication, stakeholder management, and ability to translate business needs into technical solutions.

Preferred Qualifications:

Master's in computer science, Engineering, or related field.

Certifications:

AWS Certified Solutions Architect, Azure Solutions Architect Expert, or AI/ML specialty certifications