Principal Application Delivery Consultant

3 days ago

Kolkata, India MongoDB Full time

Job Description

Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges, and technical requirements within the context of AI

- Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
- Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
- Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
- Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
- Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
- Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
- Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
- Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

You will succeed in this role if you:

- Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
- Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
- Proficiency in building modern, full-stack applications with back-end development in Python, Node.js, or Java, and front-end development with frameworks like React, Angular, or Next.js
- Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
- Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
- Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
- Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
- Are willing to travel up to 30% to engage directly with strategic customers

Bonus points if you:

- Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
- Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc.), data processing, optimisation, prompt engineering, model validation, model fine-tuning, and reranking
- Have knowledge of AI ethics, governance, and compliance frameworks
- Are proficient in additional languages such as Spanish, Italian, German, or Mandarin

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