Lead AIML Engineer

Object Technology Solutions, Inc(OTSI) has an immediate opening for aLead 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 asLangGraph,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 withappropriate accesscontrols 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

Strong experience in software engineering withexpertisein Python development.

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

Strong knowledge of Agentic AI frameworks

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

NeMoGuardrails

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