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)

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