dotSolved - Artificial Intelligence Lead/Developer

Description :

Position : AI Lead/Developer.

Location : Bangalore/Chennai Hybrid.

Engagement Mode : Full Time.

Shift Timing : 9.00AM to 6.00PM IST.

About the role :

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems).

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS.

This role is hands-on and focused on delivering real systems, while helping shape the foundation of our emerging AI platform.

This is not a pure research or modeling role. It is an engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment.

Key Responsibilities :

Build AI Systems (Core Responsibility) :

- 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 that automate their training, validation, monitoring, and

retraining.

- Develop APIs and services to operationalize AI capabilities across the organization.

Develop Data + AI Pipelines :

- Build ingestion for Multimodal content and transformation pipelines for structured and

unstructured data.

- Integrate AI workflows with enterprise systems (policy, claims, billing, etc.

- Ensure data quality, traceability, reliability, and governance in all AI pipelines.

Operationalize Models (MLOps) :

- Implement CI/CD for AI/ML workflows.

- Deploy, monitor, and maintain models in production.

- Manage model versioning, performance monitoring, and retraining processes.

Build on AWS :

- Develop solutions using : Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services.

- Contribute to evolving use of AWS Bedrock.

Apply Responsible AI Practices :

- Implement guardrails for LLM-based systems (grounding, validation, safety).

- Ensure secure handling of sensitive data (PII, financial, etc.

- Build systems aligned with enterprise governance and compliance standards.

Lead by Doing :

- Provide technical guidance and mentorship to engineers.

- Contribute to engineering standards and reusable patterns.

- Partner with architects and business teams to deliver high-impact use cases.

Must-Have Skills & Responsibilities :

Required :

- 10+ years in software, data engineering, 5 years 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 (CI/CD, monitoring, versioning).

Preferred :

- Experience with vector databases (Pinecone, Weaviate, etc.)

- Experience in regulated industries (insurance, finance, healthcare).

- Exposure to microservices and containerized environments (Docker, Kubernetes).