- Company Name
- TPI Global Solutions
- Job Title
- Artificial Intelligence Consultant
- Job Description
-
**Job Title:** GenAI Architect (Artificial Intelligence Consultant)
**Role Summary:**
Design, develop, and deploy generative AI solutions on AWS and Azure, leveraging Terraform for infrastructure automation. Drive end‑to‑end AI architecture, from data pipelines to model fine‑tuning, prompt engineering, and scalable deployment of OpenAI and Bedrock models.
**Expectations:**
- 5+ years of professional AI/ML experience (minimum 3 years).
- Proven track record of building generative AI applications.
- Strong proficiency with Python, Java, C++, and .NET.
- Experience with TensorFlow, PyTorch, Hugging Face, LangChain.
- Familiarity with fine‑tuning, prompt engineering, and model output management for production scalability.
**Key Responsibilities:**
- Architect and implement AI solutions on AWS and Azure, ensuring security, compliance, and cost optimization.
- Automate infrastructure and deployment pipelines using Terraform.
- Integrate OpenAI APIs (GPT, DALL·E, Whisper) and Amazon Bedrock into enterprise applications.
- Design data ingestion, preprocessing, and model serving workflows.
- Perform model evaluation, fine‑tuning, and prompt optimization for accuracy and relevancy.
- Collaborate with data, dev‑ops, and business teams to translate business requirements into technical specifications.
- Stay current with emerging AI, ML, and cloud technologies; recommend architecture improvements.
**Required Skills:**
- Cloud platforms: AWS (SageMaker, Lambda, EC2, Bedrock) and Azure (AI services, ML Studio).
- Infrastructure as Code: Terraform (modular, reusable).
- Programming: Python (core), Java, C++, .NET.
- Machine Learning Frameworks: TensorFlow, PyTorch, Hugging Face Transformers.
- Generative AI execution: OpenAI GPT, DALL·E, Whisper; Amazon Bedrock.
- Prompt engineering, model fine‑tuning, output calibration.
- CI/CD pipelines, containerization (Docker), orchestration (Kubernetes).
- Strong analytical, problem‑solving, and communication skills.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).
- Preferred certifications: AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or Terraform Associate.