Technical Consultant-AI Integration

IBM; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

IBM Consulting seeks a Technical Consultant for AI Integration to translate designs into secure, scalable AI-driven solutions. You will build connectors, RAG pipelines, and guardrails while collaborating with architects and engineers to deliver reliable, production-ready systems.

You will lead teams implementing multi-agent architectures, memory systems, and observability, ensuring compliance and cost optimization across cloud platforms.

Qualifications

• Translates designs and blueprints into working AI-enabled systems.
• Delivers AI services, APIs, and orchestration securely and compliantly.
• Develops connectors and RAG pipelines, configures prompts and guardrails.
• Implements observability, performance tuning, and cost optimization.
• Partners with architects, data engineers, and stakeholders to validate requirements and produce production-ready solutions.

Responsibilities

• Lead implementation of tool-using agents that interact with APIs and databases.
• Lead AI/ML Engineers to implement multi-agent systems and memory layers.
• Build scalable cloud-native systems on AWS, Azure, or GCP.
• Test multi-agent interactions for scalability, safety, and emergent behaviors.
• Embed guardrails and observability in every agent interaction.

Skills

AI integration

API integration

LLMOps

Observability

Cost optimization

Reliability

Education

Master's Degree

Tools

Guardrails AI

NeMo Guardrails

RAG pipelines

Cloud connectors

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

• Responsibilities: Lead the implementation and composing of tool-using agents that interact with APIs, databases, and knowledge systems.
• Leading a team of AI/ML Engineers to implement multi-agent systems Building persistent agent memory systems (short-, long-, and episodic memory).
• Implementing fault-tolerant orchestration for multi-agent pipelines. Building and scaling cloud-native systems (on AWS, Azure, or GCP).
• Simulation and testing of multi-agent interactions for scalability, safety, and emergent behaviours.
• Building guardrail systems using tools like Guardrails AI, NeMo Guardrails, or custom validators. Embedding compliance and observability hooks in every agent interaction

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• The Technical Consultant – AI Integration is responsible for implementing, configuring, and customizing AI-driven solutions that integrate seamlessly into enterprise applications and workflows.
• This role translates solution designs and architectural blueprints into working systems, ensuring that AI services, APIs, and orchestration layers are deployed securely, efficiently, and in compliance with organizational and regulatory standards.
• The consultant develops connectors, builds Retrieval-Augmented Generation (RAG) pipelines, configures prompts and guardrails, and implements observability, performance tuning, and cost optimization measures.
• They collaborate closely with architects, data engineers, and business stakeholders to validate requirements, deliver proofs of concept, and harden solutions for production.
• The role demands strong hands-on expertise in API integration, event-driven patterns, workflow automation, and LLMOps practices, with a focus on reliability, scalability, and responsible AI principles throughout the delivery lifecycle

Preferred Technical And Professional Experience

None