Architect, Applied AI Engineering
- Icertis
- 10 - 15 years
- Pune
- 7 months ago
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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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: IcertisLocation(s): Pune+ View Contact
Keyskills: Backend orchestration Architecture Debugging Architectural design System design Mentor Open source Distribution system Python
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