Lead AIML Engineer

Premier Inn Hotels LLC (UAE)

Hyderabad

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+
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Job summary

Object Technology Solutions, Inc (OTSI) is hiring a Lead Agentic AI Engineer in Hyderabad. You will lead design and delivery of enterprise-grade AI workflows, architect scalable SaaS platforms on public clouds, and drive LLM integration strategies across products. Join a leadership team delivering cutting-edge agentic AI solutions.

10+ years in AI/ML, strong Python and cloud expertise are essential. This role emphasizes governance, security, and collaboration with customers and cross-functional

Qualifications

  • 10+ years of experience in AI/ML engineering.
  • Lead architect for enterprise-grade agentic AI workflows.
  • Experience designing multi-tenant SaaS on public clouds.
  • Strong Python development background.

Responsibilities

  • Architect and optimize agentic AI workflows.
  • Design scalable, secure SaaS on AWS/Azure/GCP.
  • Define best practices for LLM integration and orchestration.
  • Mentor engineering teams on AI architecture and standards.
  • Drive observability, governance, and security for AI systems.
  • Collaborate with product, engineering, and customer teams to deliver AI solutions.

Skills

Python development
Production AI/ML apps
Generative AI
Agentic AI frameworks
LLM integration
Cloud platforms
Multi-tenant SaaS design
Vector databases
Docker
Kubernetes
Terraform
GitHub Actions

Tools

LangGraph
AutoGen
CrewAI
Agno
Semantic Kernel
AWS Bedrock
Pinecone
Weaviate
Qdrant
NeMo Guardrails
Guardrails AI

Job description

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:
  • 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)
  • Quality Engineering (Manual Testing, Non-functional testing, Test Automation, Digital Testing)
Our focused industries and target segments:
  • Manufacturing, Transportation, & Logistics
  • Energy & Utilities
  • Telecom & Media
  • Government & Public Sector (FED, SLED, & Partners)
  • Hi-Tech
Job Description

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.
  • 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.
  • Work with containerization and orchestration technologies including Docker and Kubernetes.
  • Implement CI/CD automation using GitHub Actions, Terraform, or similar DevOps tools.
  • 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.
  • 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

Strong understanding of:

  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Function Calling
  • Structured Data Extraction

Experience with vector databases:

  • Pinecone
  • Weaviate
  • Qdrant

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)

Experience designing and implementing multi-tenant SaaS platforms.

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