Applied AI Solutions Architect:

Job Overview

The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver creative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG).

Responsibilities
- Solution Design: Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance.
- Technology Selection: Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements.
- Generative AI Implementation: Design solutions using large language models (LLMs)



and RAG architectures for applications like content generation, customer engagement, or product design.
- Collaboration: Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor.
- Governance and Ethics: Implement responsible AI practices, addressing bias, security, and compliance in AI systems.
- MLOps and AIOps: Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions.
- Thought Leadership: Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders.
- Performance Optimization: Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments.

Skill Set
- Technical Skills:
- Proficiency in Python, R, or Julia for AI/ML development.
- Expertise in ML frameworks like TensorFlow, PyTorch,

📌 CATT Tech Delivery (Bengaluru)
🏢 RSM US in India
📍 Bengaluru