Lead AI Engineer

Job not on LinkedIn

🕒 September 9

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Design and implement end-to-end AI/ML solutions, including LLM-based applications • Build RAG pipelines using vector databases and enterprise data sources • Build machine learning models with automated training, validation, monitoring, and retraining • Develop APIs and services to operationalize AI capabilities across the organization • Build ingestion systems for multimodal content • Develop transformation pipelines for structured and unstructured data • Integrate AI workflows with enterprise systems, including policy, claims, and billing systems • Ensure data quality, traceability, reliability, and governance in AI pipelines • Implement CI/CD for AI/ML workflows • Deploy, monitor, and maintain models in production • Manage model versioning, performance monitoring, and retraining processes • Develop solutions using Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related AWS services • Contribute to the evolving use of AWS Bedrock • Implement LLM guardrails for grounding, validation, and safety • Ensure secure handling of sensitive data, including PII and financial data • Build systems aligned with enterprise governance and compliance standards

🎯 Requirements

• 10+ years of experience in software or data engineering • 5 years of experience in AI/ML engineering • Hands-on experience building production AI/ML systems • Experience with RAG pipelines, LLMs, or NLP-based systems • Experience with AWS Bedrock or similar GenAI platforms • Experience with data pipelines and distributed systems • Experience deploying and operating systems in AWS • Working knowledge of MLOps practices, including CI/CD, monitoring, and versioning • Experience with vector databases such as Pinecone or Weaviate (preferred) • Experience in regulated industries such as insurance, finance, or healthcare (preferred) • Exposure to microservices and containerized environments, including Docker and Kubernetes (preferred)

🏖️ Benefits

• Diversity and inclusion commitment • Flexible work arrangements depending on employee, customer, and business needs • Part-time work options • Working outside normal 9–5 business hours • Remote work • Welcome back program supporting people returning after extended health or family-related breaks • Career growth opportunities • Opportunity to make an impact • Diverse perspectives and inclusive workplace culture