What are the responsibilities and job description for the AI/ML Architect (Generative AI & LLMs) position at Talent Groups?
Note: This is contract on W2 Position.
Job Description:
We are seeking an experienced AI/ML Architect to lead the design and delivery of scalable AI solutions across the organization. The role focuses on building and governing architecture for Generative AI, LLMs, and traditional machine learning systems, while defining best practices for MLOps, data pipelines, and AI system design.
Required Qualifications
- Total 15 years in software engineering / data science, with 5–8 years in AI/ML architecture roles
- Strong experience in AI/ML architecture and system design
- Strong experience with RAG (Retrieval-Augmented Generation)
- Expertise in machine learning, deep learning, and NLP
- Hands-on experience with LLMs / Generative AI (e.g., GPT, Llama)
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform AI services)
- Strong knowledge of data engineering (ETL pipelines, data lakes, streaming)
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
- Understanding of APIs, microservices, and distributed systems
- Knowledge of vector databases
- Experience with DevOps / CI-CD pipelines for ML
- Exposure to AI governance and compliance
Key Responsibilities
- Define and drive the AI/ML architecture strategy across the organization
- Design end-to-end AI solutions, including GenAI, LLMs, and traditional ML models
- Lead architecture design for scalable data pipelines and real-time/streaming systems
- Establish and implement MLOps practices for model versioning, deployment, and monitoring
- Collaborate with AI and Data teams to define best practices in AI system design
- Evaluate emerging AI technologies and define adoption strategies