AI Lead/Developer

About Us

dotSolved, headquartered in Silicon Valley USA, is a leading global provider of business process automation, modern application engineering, and cloud infrastructure services. dotSolved focuses on enabling digital transformations for small, medium, and large enterprises, in the following industries (but not limited to): High technology, Energy, Manufacturing, Financial Services, Media & Entertainment, Communications, Retail, Healthcare, and Education.

dotSolved drives digital transformations for enterprises by defining, automating, and optimizing complex business processes for the digital era and engineering modern, data & analytic driven, applications that deliver intended business value. With hundreds of successful implementations and experience in Big Data, ERP, and Supply Chain, dotSolved can guarantee the creation of measurable business value from project engagements leading to accelerated business growth and profitability for customers.

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

• 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)

• 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 services
• Contribute to evolving use of AWS Bedrock

• 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

• 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:

• 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)

• Experience with vector databases (Pinecone, Weaviate, etc.)
• Experience in regulated industries (insurance, finance, healthcare)
• Exposure to microservices and containerized environments (Docker, Kubernetes)

check(event) ; career-website-detail-template-2 => apply(record.id,meta) mousedown=lyte-button => check(event) final-style=background-color:#1026E3;border-color:#1026E3;color:white; final-class=lyte-button lyteBackgroundColorBtn lyteSuccess lyte-rendered=>