Artificial Intelligence Architect

2 weeks ago

Bengaluru Chennai Pune, India Synkcode Full time US$ 1,50,000 - US$ 2,00,000 per year

We are seeking an experienced Artificial Intelligence Architect with proven expertise in large-scale language models, specifically Metas LLaMA 3. The ideal candidate will lead the design, development, and deployment of advanced AI systems, ensuring high performance, scalability, and integration within enterprise or government environments. This role requires a deep understanding of LLM architectures, distributed training, and AI system integration across diverse platforms.

Role & responsibilities

Key Responsibilities

  • AI Architecture & Strategy

  • Design and implement enterprise-scale AI architectures leveraging LLaMA 3 and other foundation models.

  • Define end-to-end architecture for LLM-powered applications, including inference, fine-tuning, and deployment pipelines.

  • Establish best practices for model governance, monitoring, and compliance.

  • Model Development & Customization

  • Lead the fine-tuning and instruction-alignment of LLaMA 3 for domain-specific use cases (e.g., finance, customs, healthcare, logistics).

  • Optimize model performance through parameter-efficient fine-tuning (PEFT), quantization, pruning, and RLHF (Reinforcement Learning with Human Feedback).

  • Integrate vector databases, retrieval-augmented generation (RAG), and multi-modal extensions.

  • Infrastructure & Deployment

  • Architect and oversee distributed training on GPU/TPU clusters.

  • Deploy scalable inference systems with low-latency APIs, containerized environments, and orchestration tools (Kubernetes, Docker, Ray, etc.).

  • Implement AI DevOps (MLOps) practices for continuous integration and delivery of models.

  • Cross-Functional Leadership

  • Collaborate with data scientists, ML engineers, and software teams to align AI solutions with organizational goals.

  • Mentor AI engineers in LLM fine-tuning, prompt engineering, and model evaluation.
  • Communicate technical architecture to executives and non-technical stakeholders

Preferred candidate profile

Preferred Skills

  • Experience with agentic AI systems and multi-agent orchestration.
  • Contributions to open-source AI/LLM projects.
  • Knowledge of blockchain-integrated AI systems (smart contracts, decentralized inference).
  • Ability to design real-time AI copilots and autonomous decision-support systems.

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