AI Architect

Responsibilities:

• Architect and deliver enterprise-grade AI systems, with a strong background as an AI Engineer, Machine Learning Engineer, or AI Architect.
• Design and develop interactive AI applications and services using

  C# and Python

  , ensuring production-readiness and performance.
• Build and integrate

  Generative AI

  solutions using

  transformer-based models

  and

  LLMs

  , including prompt engineering and fine-tuning pipelines.
• Leverage

  Azure OpenAI

  , custom model APIs, and

  Azure AI Foundry

  to power scalable AI capabilities across use cases.
• Apply expertise in

  machine learning

  ,

  deep learning

  ,

  NLP

  , and

  statistical modeling

  to solve complex problems.
• Architect distributed AI and data solutions using

  Azure

  ,

  Kubernetes

  ,

  Docker

  , and big data platforms.
• Lead the development of

  custom AI/ML pipelines

  , integrating

  MLOps

  tools for continuous deployment and monitoring.
• Explore and implement

  advanced architectures

  such as

  Small Language Models (SLMs)

  ,

  RAG/RIG pipelines

  , and

  Model Context Protocol (MCP)

  to enhance retrieval, context-awareness, and response generation in real-time systems.
• Work closely with data scientists, DevOps, and product stakeholders to ensure seamless collaboration and outcome alignment.
• Translate complex technical concepts for executive and business audiences.
• Mentor junior engineers and foster a culture of curiosity, innovation, and technical excellence.
• Stay current with advancements in

  Generative AI

  ,

  LLMs

  , and applied deep learning trends.

Skills & Experience:

• Experience:

  10+ years in AI/ML engineering, with 23 years specifically in AI solution architecture and system design.

• Programming:

  Advanced proficiency in

  C#

  ,

  Python

  , and AI frameworks such as

  TensorFlow

  ,

  PyTorch

  .

• AI Expertise:

  Deep knowledge in

  Generative AI

  ,

  LLMs

  ,

  prompt engineering

  ,

  machine learning

  ,

  model evaluation

  , and

  deep learning

  .

• Tooling & Infra:

  Proficient in

  Azure OpenAI

  ,

  Azure AI Foundry

  , custom model development pipelines,

  MLOps tools

  ,

  Docker

  ,

  Kubernetes

  , and distributed systems.

• Soft Skills:

  Strong leadership, collaboration, and communication skills with the ability to guide teams and influence strategy.

Education:

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.