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For Senior Principal AI Architect Detail Information Job Title: Senior Principal AI Architect Company: NCG Location: Pune Experience Required: Level 6 (12-15 Yrs) - Initiate, Influence Open Positions: 1 Posting Date: 2026-04-22T11:32:30+05:30 Employment Type: Full-time Overview: As a Senior Principal AI Architect, you will spearhead the innovation and strategic deployment of AI ecosystems within the Life Sciences sector. This role is pivotal in bridging advanced AI research with practical, scalable business solutions. With a focus on both Classical Machine Learning and Generative AI, you will lead the architectural design of autonomous systems and robust cloud-native AI systems. The position requires a deep understanding of AI/ML systems and the ability to tackle complex data architecture challenges, ensuring secure, scalable, and efficient data platforms. You will work across multi-cloud environments, including AWS, Azure, and GCP, to deploy resilient AI infrastructures. In this influential role, you will define and implement cutting-edge AI strategies, ensuring all systems are compliant with global standards and ethical AI practices. Your leadership will drive the development of innovative AI solutions that align with our organization's mission and goals, enhancing our capabilities in the Life Sciences domain. Working closely with cross-functional teams, you will guide the design of advanced AI frameworks, leveraging the latest technologies to optimize workflows and achieve high-impact results. This position demands a visionary leader capable of translating complex AI concepts into actionable strategies that deliver measurable business outcomes. We are looking for Senior Principal AI Architect in the Life Sciences sector: - Architect scalable, low-latency AI/ML systems integrating Classical ML and Generative AI for enterprise solutions. - Design autonomous AI agents and complex reasoning workflows using modern frameworks such as LangGraph and AutoGen. - Engineer conversational memory architectures and state management protocols for long-term agentic tasks. - Develop advanced Retrieval-Augmented Generation (RAG) pipelines with vector databases to enhance AI accuracy and mitigate hallucinations. - Lead multi-cloud AI infrastructure deployment and strategy across AWS, Azure, and GCP, ensuring high availability and resilience. - Solve data engineering challenges, architecting solutions integrated with platforms like Snowflake and Databricks. - Translate proofs of concept into production systems, establishing patterns for model serving and load balancing. - Oversee MLOps and LLMOps practices, including CI/CD, model evaluation, and system observability. You Might Be Our Ideal Match If You: - 12+ years of experience in software engineering and architecture, with 5+ years in AI/ML architecture. - Expertise in Generative AI and foundational models such as GPT, Llama, and Gemini, with experience in fine-tuning and prompt engineering. - Proficiency in agentic and orchestration frameworks like LangChain and LangGraph. - Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration with Docker and Kubernetes. - Proficiency in modern data stack technologies, including vector and graph databases, and data warehousing. - Expert-level proficiency in Python; strong skills in Go, Java, or C++ are highly preferred. - Proven leadership skills with the ability to communicate complex AI concepts to C-level executives and engineering teams. Education: Bachelor's in Computer Science, Engineering, or related technical field. Overview As a Senior Principal AI Architect, you will spearhead the innovation and strategic deployment of AI ecosystems within the Life Sciences sector. This role is pivotal in bridging advanced AI research with practical, scalable business solutions. With a focus on both Classical Machine Learning and Generative AI, you will lead the architectural design of autonomous systems and robust cloud-native AI systems. The position requires a deep understanding of AI/ML systems and the ability to tackle complex data architecture challenges, ensuring secure, scalable, and effective data platforms. You will work across multi-cloud environments, including AWS, Azure, and GCP, to deploy resilient AI infrastructures. In this influential role, you will define and implement cutting-edge AI strategies, ensuring all systems are compliant with global standards and ethical AI practices. Your leadership will drive the development of innovative AI solutions that align with our organization's mission and goals, enhancing our capabilities in the Life Sciences domain. Working closely with cross-functional teams, you will guide the design of advanced AI frameworks, leveraging the latest technologies to optimize workflows and achieve high-impact results. This position demands a visionary leader capable of translating complex AI concepts into actionable strategies that deliver .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.