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Architect, Applied AI Engineering

Architect, Applied AI Engineering

Icertis

10 - 15 years

35 - 40 Lacs

Pune

Posted:18 hours ago| Platform:

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Skills Required

Backend orchestration Architecture Debugging Architectural design System design Mentor Open source Distribution system Python

Work Mode

Work from Office

Job Type

Full Time

Job 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.

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

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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Architect, Applied AI Engineering