Role Overview

We are seeking an experienced Presales Architect (Data & AI) to design and propose innovative data and AI solutions that address complex business challenges. This role focuses on collaborating with clients, sales teams, and delivery teams to create tailored solutions leveraging cloud-based data pipelines, AI/ML frameworks, and AWS native technologies. Ideal candidates will have strong logical and analytical thinking skills, a passion for cutting-edge AI innovations, and excellent communication abilities to articulate technical solutions effectively.

Key Responsibilities:
Client Engagement and Requirement Analysis:
Work closely with clients to understand their business goals, data challenges, and AI needs.

Conduct technical workshops and discovery sessions to gather data and AI/ML requirements.

Solution Design and Proposal Development:
Design scalable, secure, and efficient data pipelines, analytics platforms, and AI/ML workflows.

Develop and present comprehensive proposals, including architecture diagrams, technical documentation, and value propositions.

Respond to RFPs and RFIs with customized data and AI solutions.

Technical Presentations and Demonstrations:
Deliver compelling technical presentations and live demonstrations showcasing data and AI solutions.

Highlight the value of AWS services for data processing, analytics, and AI/ML applications.

Collaboration with Sales and Delivery Teams:
Partner with sales teams to align solution strategies with business objectives.

Collaborate with delivery teams to ensure feasibility and successful execution of proposed solutions.

Knowledge of Data and AI Services:
Design solutions using AWS services like Glue, SageMaker, Redshift, EMR, and Athena.

Propose AI/ML workflows leveraging frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Integrate Generative AI tools and services into tailored client solutions.

Exploration and Innovation:
Stay updated on the latest advancements in data engineering, AI/ML, and AWS technologies.

Incorporate Generative AI innovations to enhance data processing, analytics, and AI workflows.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Equivalent practical experience will also be considered.
• Strong understanding of ETL pipelines, data warehouses, and real-time data processing frameworks.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and cloud-native services like AWS SageMaker, Glue, and Redshift.
• Strong logical and analytical thinking skills to solve complex data and AI challenges.
• Familiarity with dashboarding tools like Tableau, Power BI, or QuickSight.
• Relevant AWS Certifications (e.g., AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics) are highly preferred.