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:

- Strong experience in software engineering with expertise in 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

- Robust 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

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