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