PUNE · FULLTIME
Technical Consultant-AI Integration
IBM
Pune · onsite · Posted 1d ago
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Undisclosed6–8 yrsfulltimePune
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Section · 01
About this role
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
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:6 - 8
Sourced from naukri
Section · 02
Skills
AutomationobservabilityRetrieval Augmented Generationcomposingai integrationPerformance Tuningorchestrationapisai servicesgoogle cloud platformamazon web servicesenterprise applicationsLLMOpshookscloudcomplianceMicrosoft AzureAPI IntegrationArtificial IntelligenceMachine Learning
Section · Company
About IBM
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