Principal AI Architect
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Principal Ai Architect
We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that's bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out
Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry.
We are offering a global fast-track career where you can grow along with Indegene's high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
Title:
Principal AI Architect US Based;
Raleigh, North Carolina
Education:
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
Experience:
Minimum of 10-12 years relevant experience in software development, with at least 3 years in AI/ML or GenAI. Experience with LLM Mesh. (preferred - Dataiku LLM Mesh)
Must Have
Job Description:
The Job entails the following but is not limited to:
- Will be a strategic partner for a regional client division; helping them shape commercial strategies based on robust analytics, a data-driven insights, also would need to collaborate seamlessly with other functional teams
- Design, facilitate and manage GenAI use-cases and solutions to provide business relevant outcomes at pace
- Create realistic and actionable implementation plan for building GenAI use-cases across commercial analytics practice
- Drive innovation through state-of-the-art LLM integration and Retrieval-Augmented Generation (RAG) strategies using Dataiku and modern AI frameworks
- Experience with LLM Mesh, RAG pipelines, vector databases, embeddings, prompt engineering, and integration
- Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using Lang Chain, Llama Index, and related GenAI frameworks.
- Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge
- Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant.
- Continuously improve model reliability, relevance by tuning prompt flows
- Deploy GenAI models on AWS/GCP/Azure using services like Sage Maker, Bedrock, Vertex AI
- Ideate and design innovative solution frameworks aligning to market trends and technological innovations. Translating healthcare clients' business needs into technical solutions meeting user needs and business goals
- POC building, go to market strategy building by application of AI/Gen AI use cases wherever applicable. Integrate large language models (LLMs), computer vision, or other AI/ML techniques into business solutions.
- Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner.
- Candidate should be a self-starter and be open to new learnings. Provide technical leadership/ mentorship to junior team members; groom them for additional responsibilities.
- Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools.
Technical and
Soft Skills:
- Strong thought leadership and strategic thinking skills, with a demonstrated ability to identify business issues/opportunities and to frame business questions
- Consultative problem-solving approach, customer orientation, and strong collaboration skills
- Exceptional analytical skills with demonstrated experience extracting valuable insights from complex data-sets
- Ability to…
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