Description

You will architect scalable, secure, and high-performance AI/ML and GenAI platforms.

Responsibilities

• Design end-to-end AI reference architectures covering data ingestion, model development, deployment, governance, and LLMOps.
• Evaluate and integrate LLMs, vector databases, and RAG pipelines for enterprise use cases.
• Partner with sales teams to qualify AI opportunities, scope solutions, and prepare technical proposals.
• Act as a trusted AI advisor to client executives, shaping AI strategy and managing technical objections.
• Oversee architecture reviews and mentor AI engineers, data scientists, and solution architects.

Required Skills

• 12–15 years of total experience, with 6+ years in AI architecture and 3+ years in pre-sales or client-facing roles.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence.
• Expertise in AI/ML frameworks including TensorFlow, PyTorch, and Hugging Face.
• Deep knowledge of GenAI/LLM concepts: Prompt engineering, RAG, fine-tuning, and vector DBs.
• Experience with cloud platforms: Azure (OpenAI, Azure ML), AWS (SageMaker, Bedrock), or GCP (Vertex AI).
• Proficiency in containerization and orchestration: Docker and Kubernetes.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform.
• Experience with integration patterns: REST/GraphQL and Microservices.
• Proven track record delivering AI-driven business solutions at enterprise scale.

Key Skills

Education

Bachelor's or Master's degrees