Technical Consultant-Ai Integration

Hinjawadi, Pune

7 years

Multi-agent system design and implementationAPI integration and developmentDatabase interaction and managementKnowledge system integrationAI/ML engineering leadershipPersistent agent memory systems (short-, long-, episodic)Fault-tolerant orchestrationCloud-native system development (AWS, Azure, GCP)Simulation and testing of multi-agent interactionsGuardrail systems implementation (Guardrails AI, NeMo Guardrails)Compliance and observability embeddingRetrieval-Augmented Generation (RAG) pipeline developmentPrompt engineering and configurationPerformance tuning and cost optimizationEvent-driven architecture and workflow automationLLMOps practicesSecurity and regulatory compliance in AI systemsCollaboration with architects and data engineersProof of concept development and solution hardeningResponsible AI principles application

Job Description:

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

Required education

Bachelor's Degree

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

Years of Experience:7 - 9

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

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