AI Solutions Architect

1 day ago


Gandhinagar, Gujarat, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Senior AI Solutions Architect

About the Role:

We are seeking an experienced Senior AI Solutions Architect to join our team, focused on building innovative agentic AI workflows, fine-tuning large language models, and applying related generative AI techniques.

Key Responsibilities:

  • Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that automate business processes.
  • Large Language Model Fine-Tuning: Work with large-scale pre-trained models to fine-tune with techniques like PEFT, SFT, and adapt them for specific applications and domains.
  • Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs align with use case requirements.
  • AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
  • Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure the organization stays at the forefront of technology.
  • Model Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
  • Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Required Skills & Qualifications:

  • Experience: Minimum 5+ years of hands-on experience in machine learning and AI engineering.
  • LLM Experience: Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks, and experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Soft Skills: Strong problem-solving and analytical skills, excellent communication and teamwork abilities to collaborate with stakeholders.


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