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.
- 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.
