Technical Consultant-AI Integration
IBM · Pune Division, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Lead AI integration projects for enterprise clients.
- Implement and manage multi-agent AI systems.
- Develop RAG pipelines and configure AI guardrails.
- Build and scale cloud-native AI solutions.
- Focus on responsible AI and client collaboration.
About the role
About IBM Consulting
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
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 Education
Master's Degree
Key skills/competency
- AI Integration
- Technical Consulting
- API Integration
- Multi-agent Systems
- Cloud-Native Systems
- LLMOps
- Retrieval-Augmented Generation (RAG)
- Guardrails AI
- Observability
- Responsible AI
Skills & topics
- AI Integration
- Technical Consultant
- AI
- Machine Learning
- Cloud Computing
- API Integration
- LLMOps
- RAG
- Consulting
- IBM
How to get hired
- Tailor your resume: Highlight AI integration, multi-agent systems, and cloud expertise.
- Showcase API skills: Emphasize experience with APIs, databases, and knowledge systems.
- Demonstrate cloud knowledge: Detail your work with AWS, Azure, or GCP for AI solutions.
- Prepare for technical interviews: Be ready to discuss RAG, guardrails, and LLMOps.
- Understand IBM's culture: Research their focus on collaboration, innovation, and client impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Technical Consultant - AI Integration at IBM?
- As a Technical Consultant - AI Integration at IBM, you'll lead the implementation of AI solutions, manage multi-agent systems, build RAG pipelines, configure guardrails, and ensure secure, efficient deployment of AI services within enterprise workflows.
- What technical skills are essential for this IBM Technical Consultant role?
- Essential technical skills include expertise in API integration, event-driven patterns, workflow automation, LLMOps, building cloud-native systems (AWS, Azure, GCP), RAG pipelines, and guardrail implementation.
- Does IBM require a specific degree for the Technical Consultant - AI Integration position?
- While a Master's Degree is preferred for this role, IBM emphasizes hands-on expertise and practical skills in AI integration and related technologies.
- What kind of AI systems will I be working with at IBM?
- You will be involved in implementing tool-using agents, multi-agent systems with persistent memory, and fault-tolerant orchestration for AI pipelines, focusing on scalability, safety, and emergent behaviors.
- How does IBM foster career growth for Technical Consultants?
- IBM Consulting promotes a culture of growth and empathy, encouraging curiosity, exploration of new ideas, and providing opportunities for long-term career development while valuing individual skills.
- What are 'guardrail systems' in the context of AI integration at IBM?
- Guardrail systems, such as those using Guardrails AI or NeMo Guardrails, are implemented to ensure AI interactions are safe, compliant, and within defined operational boundaries.
- What is RAG in relation to this IBM AI role?
- RAG stands for Retrieval-Augmented Generation. In this role, you will build RAG pipelines, which enhance AI models by retrieving relevant information from external knowledge bases before generating responses.