AI Solutions Architect

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: [email protected]
• Job Location: Remote