Technical Architect (Gen-AI & Full-Stack MERN)

• Cloud Architecture for cloud solutions and cloud-native app development
• Technical Architecture for full-stack application development and bespoke product development
• Lead the translation of business and product requirements to technical architectures, that balance concerns around architecture quality and scalability, vs. cost-effectiveness, maintainability, and being fit-for-purpose
• Collaborate with multiple senior technology and engineering stakeholders to help shape, define, refine, validate, review and optimize proposed architectures
• Collaborate with solution architects, development leads, full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products.
• Collaborate with cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions.
• Use well-architected best practices to shape and validate proposed solutions
• Guide the solution design for scalable AI-enabled products, cloud-native apps and cloud solutions.
• Lead the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services
• Lead the solution tech design and adoption of appropriate design patterns and best practices, across all layers of the application stack - including front-end, back-end, APIs, data and AI services
• Design enterprise products and full-stack applications on the MERN stack, with clear separation of concerns across layers
• Design web apps and solutions that leverage LLM models, and Generative AI workflows
• Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video
• Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation.
• Lead product development and delivery within tight timelines
• Be hands-on with code, and help lead hands-on dev PoCs to validate new ideas, shape new solutions, and provide direction to the Dev team.

• Strong Expertise in architecting and designing full-stack applications using the MERN stack (JavaScript) including client-side and server-side JavaScript
• Strong Expertise in architecting and designing full-stack applications using Python based development, including Python Apps for LLM integration
• Well-rounded in both programming languages and key design patterns for both
• Prior Experience of leading solution design across front-end and back-end development
• Prior Solution Design Experience across Data Processing, Data Integration, API integration, Enterprise Systems Integration, and Workflow Design
• Prior Solution Design Experience with Scaled Gen-AI solutions in Production, including the use of LLMs and Multi modal AI.

JavaScript / MERN stack - competencies :

• Minimum 8 years hands-on experience in designing and building Full-Stack MERN apps, using both client-side and server-side JavaScript
• Strong solution design experience across Front-End Web Apps and Front-End Web Development, particularly apps built on React.js
• Strong solution design experience with API Definition and Design, API Best Practices, Micro Services Architecture best practices and micro services solution design
• Hands-on with Node.js and related server-side JavaScript frameworks - including Express.js, and Nest.js
• Hands-on experience with deploying full stack MERN apps to a cloud platform such as Azure
• Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js
• Hands-on working experience with BFF frameworks such as GraphQL
• Hands-on working experience with API Management and API Gateways

Gen-AI / LLM Apps with Python - competencies :

• Minimum 5 years hands-on experience in designing and building Python based apps and solutions
• Minimum 2+ years hands-on experience in designing scaled Gen-AI solutions with LLMs and LLM models
• Strong experience with designing for custom data solutions in Python, including the design of data processing pipelines + data workflows, and integrating customer + enterprise datasets, to augment LLM knowledge
• Solid Experience with designing scaled end-to-end RAG pipelines using advanced pre-processing, chunking, embedding and ranking techniques, to ground LLMs and enhance LLM output quality
• Solid Experience with designing LLM Pipelines that incorporate both structured and unstructured datasets, curated from various sources
• Good Experience with designing AI-enabled workflows, that leverage AI and LLM models to drive automation, including content automation, creative automation, and even business workflow automation
• Good Experience with designing for AI Orchestration workflows, that orchestrate across multiple tools, platforms and services to facilitate an end-to-end creative or content process
• Hands-on Experience with Conversational AI solutions and chat-driven experiences
• Hands-on Experience with multiple LLMs and models -GPT-4o, GPT o1, and o3 mini, Google, Gemini, Claude Sonnet, etc
• Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and preferably also AWS Bedrock , and/or GCP Vertex AI .
• Credible Experience with designing solutions that leverage AI Assistants and the use of Assistants and threaded messages in orchestrating with LLMs
• Hands-on Experience working with AI Agents and Agent Services .
• Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output
• Hands-on Experience in guiding the evaluation of AI outputs, and improving AI outputs.

Multi Modal AI - competencies :

• Solution Design Experience with intelligent document processing and document indexing + document content extraction pipelines
• Solution Design Experience with using Multi modal AI models and solutions for Imagery and Visual Creative, including the use of LoRA models.
• Solution Design Experience with Computer Vision and Image Processing using Multi-modal AI
• Solution Design Experience with using Multi modal AI for Speech - including Text to Speech, and Custom Speech training.
• Solution Design Experience with leveraging third-party / partner APIs to orchestrate across many Multi Modal AI models

• Ability to lead a group of development leads, for the delivery of Full-Stack MERN Apps and Products/Solutions, built on top of LLMs and LLM models.

• MERN Stack and Cloud-Native App Dev :
  • Hands-on working experience working with a Federated Graph architecture
  • Experience working with container apps and containerized environments
  • Hands-on working experience with Web Components and Portable UI components
• Python / ML LLM / Gen-AI App Dev :
• Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks
• Hands-on experience with different Agent communication and chaining patterns
• Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order goals and automated orchestration across multiple apps and tools
• Ability to leverage Graph Databases and Knowledge Graphs as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models.
• Good Background with Machine Learning solutions
• Good foundational understanding of Transformer Models
• Some Experience with custom ML model development and deployment is desirable.
• Proficiency in deep learning frameworks such as PyTorch, or Keras.
• Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.