Solution Architect - Data & AI

As a Hands-on Architect in ProArch’s Data & AI practice, you will play a critical role in building innovative solutions, supporting presales, and enabling delivery teams. Your expertise and consultative approach will help navigate vagueness and create impactful outcomes for clients.

Key Responsibilities:

Continuous Innovation:

• Idea Generation and Evaluation: Build and maintain a list of ideas, evaluated using the Idea Approval Committee.

o Assess feasibility using criteria such as transferability across domains, strategic fit, market potential, and revenue impact.

o Contribute to building MVPs and launching them in the market.

• Sample Innovation Areas:

o IoT Testing

o Blockchain in Testing

o AI for Safety

o Generative AI Applications: BDD Testing, Automated Test Authoring

o Modernizing applications using Computer Vision and Generative AI

Presales:

• Support the Sales team in the pre-sales process
• Provide support in creating slide decks to provide technical information to prospective clients
• Own the demos and technical aspects of the presentations to prospective clients.
• Do a proper hand over to the delivery team and provide support as needed.

Delivery Problem-Solving:

• Provide technical expertise to resolve complex challenges faced by delivery teams.

Education for Sales and Marketing Teams:

• Conduct workshops and knowledge-sharing sessions to enable sales and marketing teams to present new products and solutions effectively.

Sales Insights Sharing:

• Share detailed summaries from sales calls with solutioning teams to offer insights into customer needs.

Technical Expertise:

• Design and deploy end-to-end solutions in Data Engineering, Machine Learning (ML), AI, and full-stack development.

• Build data pipelines using tools such as Apache Spark, Databricks, Kafka, or Snowflake.

• Expertise in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, or LangChain.

• Experience in building and deploying Generative AI applications, including LLM fine-tuning and integration.

• Advanced knowledge in NLP, Computer Vision, and Recommendation Systems.

• Full-stack expertise:

 Frontend: React, Angular, or Vue.js.

 Backend: Node.js, Python (Flask/Django), Java (Spring Boot), or .NET.

 Databases: SQL Server, PostgreSQL, MongoDB, or Cosmos DB.

• Proficiency in cloud platforms (Azure, AWS, GCP):

 AI services (e.g., Azure Cognitive Services, AWS SageMaker, GCP Vertex AI).

 Serverless architectures and microservices.

 Cloud-native data services (e.g., Azure Synapse, AWS Redshift, GCP BigQuery).

• Experience in developing APIs (REST/GraphQL) and integrating with third-party systems.

• Strong understanding of DevOps and CI/CD pipelines: Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 10+ years of experience in AI, Data Engineering, and full-stack development.
• Demonstrated ability to work with ambiguity and deliver consultative solutions.
• Familiarity with Agile methodologies (Scrum, Kanban).
• Excellent communication and interpersonal skills.

Additional Information:

• This is a full-time position based in India, with remote work for USA clients.
• Competitive compensation and benefits package.
• Opportunity to work on cutting-edge solutions and gain global market exposure.