AI Solutions Architect

23 hours ago

Adajan Surat Gujarat, India Aloola Full time ₹ 12,00,000 - ₹ 24,00,000 per year

We are seeking a highly skilled and experienced AI Solutions Architect with expertise in Generative AI, Large Language Models (LLMs), and cloud-based deployments. This role is ideal for someone with a strong technical background, hands-on experience in building AI-driven solutions, and the ability to translate cutting-edge research into scalable, real-world applications.

Key Responsibilities:

  • Design and implement Generative AI solutions leveraging AWS services such as S3, Redshift, and Snowflake.
  • Contribute to the development, fine-tuning, and application of Large Language Models (LLMs) and Generative AI frameworks.
  • Explore and apply emerging advancements in LLMs and generative AI to practical client use cases.
  • Communicate complex technical concepts and insights effectively to non-technical stakeholders.
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows and platforms.
  • Optimize and fine-tune generative models for scalability, efficiency, and performance.
  • Troubleshoot, monitor, and maintain deployed AI/ML models.
  • Develop prototypes in partnership with IT practitioners and client stakeholders.
  • Evaluate and recommend tools, frameworks, and technologies to ensure efficient delivery of high-quality solutions.
  • Support leadership with building/upgrading reference architectures and enhancing service offerings.
  • Lead training initiatives to mentor teams and develop next-generation technical expertise.

Required Skills & Qualifications:

  • 3+ years of experience in building AI solutions with Databricks (certification preferred).
  • Experience with Generative AI frameworks (e.g., LlamaIndex, LangChain).
  • Familiarity with AI models from OpenAI, Google, or open-source alternatives (Llama, Claude, Hugging Face).
  • 5+ years of programming experience with Python and SQL.
  • Strong knowledge of data storage systems (RDBMS, NoSQL).
  • Expertise in AWS (minimum 2–3 years); exposure to Azure is a plus.
  • Solid understanding of neural network architectures (GANs, Transformers).
  • Experience with TensorFlow, PyTorch, and Keras for model design, training, and validation.
  • Familiarity with MLOps/LLMOps pipelines, CI/CD solutions, and IaC tools (Terraform, Biceps).
  • Strong background in data preprocessing and feature engineering.
  • Hands-on experience deploying ML models using native or third-party MLOps platforms.
  • Knowledge of NLP/LLM applications in specific domains or industries.
  • Strong communication, problem-solving, and presentation skills.

Preferred Qualifications:

  • Experience designing end-to-end ML/AI pipelines for enterprise-scale systems.
  • Familiarity with AI standards and compliance frameworks.
  • Proven ability to work in ambiguous or fast-changing environments.
  • Experience influencing business decisions through data-driven AI recommendations.

  • Experience: 8–10+ Years (AI/ML, with at least 3 years in Generative AI solutions)

  • Job Type: Full-time

  • Email:
  • Job Location: Remote

Job Type: Full-time

Work Location: In person

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