Principal Architect 10X, Applied AI Engineering

3 days ago

Pune, Maharashtra, India Icertis Full time ₹ 15,00,000 - ₹ 30,00,000 per year
Description

We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you'll fit right in.

This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale.



Responsibilities

Key Responsibilities

  • Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support

  • Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks

  • Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently.

  • Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks.

  • Architect modular APIs and reusable GenAI components across teams and product lines.  Elevates the team, mentors others, communicates effectively

  • Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly.

  • Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant).

  • Champion best practices in AI safety, model governance, and performance monitoring.

  • Sees the big picture — understands architecture, scalability, and maintainability

Qualifications

Required Qualifications

  • 10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems.

  • Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen).

  • Proven experience architecting production-grade GenAI or ML-powered products.

  • Expertise in system design, microservices, API architecture, and distributed systems.

  • Proficient in Python and one backend/system-level language, Net

  •  Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra.

  • Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment.

 

Preferred

  • Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning.

  • Exposure to AI regulations, ethical AI frameworks, and prompt security.

  • Contributions to AI/ML open source or published research.

  • Ability to mentor cross-functional teams and lead architecture councils.

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