Principal Architect 10X, Applied AI Engineering

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.

Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries.