Ai Solutions Architect

5 days ago

Remote, India aloola Full time

**Key Responsibilities**:

- Design and implement **Generative AI solutions** leveraging AWS services such as S3, Redshift, and Snowflake.
- 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.
- 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
- **Job Location**: Remote

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