Lead AIML Engineer

Object Technology Solutions, Inc (OTSI) has an immediate opening for a Lead Agentic AI Engineer. 

Lead Agentic AI Engineer (Hyderabad)

Experience: 10+ Years 

MAJOR RESPONSIBILITIES

Technical Leadership & Architecture

• Lead the design, development, and optimization of enterprise-grade agentic AI workflows. 
  

• Architect scalable, secure, and multi-tenant SaaS platforms on public cloud environments (AWS/Azure/GCP).
  

• Define best practices for LLM integration, agent orchestration, and AI application architecture. 
  

• Drive technical strategy for AI-powered products and accelerators. 
  

Hands-on AI Engineering

• Build and deploy agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, Agno, or Semantic Kernel. 
  

• Integrate Large Language Models (LLMs) using AWS Bedrock, Azure AI Foundry, Vertex AI, and other AI platforms. 
  

• Implement Retrieval-Augmented Generation (RAG), function calling, structured extraction, and intelligent document processing solutions. 
  

• Develop Model Context Protocol (MCP) servers and enterprise AI integrations. 
  

• Design and implement human-in-the-loop workflows for AI decision-making systems. 
  

• Build PII detection, anonymization, and de-anonymization pipelines. 
  

Security, Governance & Compliance

• Establish LLM governance practices including cost optimization, rate limiting, monitoring, and audit trails. 
  

• Implement AI guardrails against prompt injection, data leakage, and hallucination risks. 
  

• Ensure compliance with security standards such as ISO 27001, SOC 2, PCI DSS, and enterprise security policies. 
  

• Design secure AI solutions with appropriate access controls and data protection mechanisms. 
  

Cloud & SaaS Engineering

• Develop cloud-native AI applications using AWS, Azure, or GCP services. 
  

• Design scalable multi-tenant SaaS architectures. 
  

• Work with containerization and orchestration technologies including Docker and Kubernetes. 
  

• Implement CI/CD automation using GitHub Actions, Terraform, or similar DevOps tools. 
  

Customer & Sales Enablement

• Participate in customer technical discovery sessions and solution discussions. 
  

• Support sales teams with technical demonstrations, RFP/RFI responses, and AI solution proposals. 
  

• Translate customer requirements and feedback into product enhancements. 
  

Mentorship & Collaboration

• Mentor engineering teams on agentic AI architecture, LLM development practices, and AI engineering standards. 
  

• Collaborate with product, engineering, and customer teams to deliver innovative AI solutions. 
  

• Drive best practices in AI observability, tracing, reliability, and compliance. 
  

SKILLS AND ABILITIES REQUIRED:

• Hands-on experience building production-grade AI/ML and Generative AI applications. 
  

• LangGraph 
  
• AutoGen 
  
• CrewAI 
  
• Agno 
  
• Semantic Kernel 
  

• Experience integrating LLM platforms: 
  

• AWS Bedrock 
  
• Azure AI Foundry 
  

• Vertex AI 
  

• Strong understanding of:
  

• Retrieval-Augmented Generation (RAG) 
  

• Prompt Engineering 
  

• Function Calling 
  

• Structured Data Extraction 
  

• Intelligent Document Processing 
  

• Experience with vector databases: 
  

• Pinecone 
  

• Weaviate 
  

• Qdrant 
  

• pgvector 
  

• Hands-on experience developing MCP (Model Context Protocol) servers. 
  

• Experience with AI security, governance, and guardrail frameworks: 
  

• NeMo Guardrails 
  

• Guardrails AI 
  

• PII detection and redaction 
  

• Strong understanding of cloud platforms: 
  

• AWS (EKS, Lambda, S3, RDS)
  

• Azure / GCP 
  

• Experience designing and implementing multi-tenant SaaS platforms. 
  

• Knowledge of databases: 
  

• SQL
  

• Object Storage 
  

• Vector Databases