OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernize complex technology landscapes, harness the power of data, and build scalable AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge. Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting-edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi-Tech, Telecom & Media, Manufacturing, and more.
Our focused technology areas:
-
AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence)
-
Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data, Analytics and BI)
-
Cloud (Cloud Computing, Cloud Migration, Cloud-Native Architecture, Hybrid and Multi-Cloud)
-
Digital Engineering (Application Modernization, Product Engineering, Platform Engineering, DevSecOps)
-
Quality Engineering (Manual Testing, Non-functional testing, Test Automation, Digital Testing)
-
Enterprise Platforms (SAP, Microsoft, Oracle, etc.)
Our focused industries and target segments:
-
Banking, Financial Services, & Insurance
-
Manufacturing, Transportation, & Logistics
-
Energy & Utilities
-
Telecom & Media
-
Healthcare & Life-sciences
-
Government & Public Sector (FED, SLED, & Partners)
-
Hi-Tech
Object Technology Solutions, Inc (OTSI) has an immediate opening for a Lead Agentic AI Engineer.
Lead Agentic AI Engineer (Hyderabad)
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.
-
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.
-
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
-
AWS Bedrock
-
Azure AI Foundry
-
Retrieval-Augmented Generation (RAG)
-
Structured Data Extraction
-
Intelligent Document Processing
-
PII detection and redaction
-
AWS (EKS, Lambda, S3, RDS)
