Technical Consultant-AI integration

Introduction

Build a career at IBM Consulting driven by enduring client relationships and global teamwork. You’ll work with leading organizations across industries, helping them shape their hybrid cloud and AI strategies. Backed by strategic partners, IBM technology, and Red Hat, you’ll gain the capabilities to create meaningful change and speed up client outcomes. At IBM Consulting, curiosity is central to success—you’ll be encouraged to question the status quo, test new ideas, and develop solutions that deliver measurable impact. Our growth- and empathy-focused culture supports your long-term career development while recognizing and valuing your individual skills and experiences.

Your Role And Responsibilities

As a Technical Consultant specializing in AI Integration, you will implement, configure, and tailor AI-driven solutions that integrate seamlessly into enterprise applications and workflows. The position involves converting solution designs and architectural blueprints into functional systems, with a strong focus on secure, efficient, and compliant deployment of AI services, APIs, and orchestration layers.

Your Primary Responsibilities Will Include

• Implement AI Solutions: Create connectors, develop Retrieval-Augmented Generation (RAG) pipelines, and configure prompts and guardrails to embed AI services into enterprise applications and workflows.
• Collaborate with Stakeholders: Partner with architects, data engineers, and business stakeholders to confirm requirements, deliver proofs of concept, and strengthen solutions for production use.
• Optimize Performance: Apply observability practices, performance tuning, and cost optimization initiatives to support dependable and scalable AI solutions.
• Ensure Compliance: Deploy AI services, APIs, and orchestration layers in alignment with organizational and regulatory requirements.
• Deliver Solutions: Convert solution designs and architectural blueprints into working systems, emphasizing reliability, scalability, and responsible AI principles throughout the delivery lifecycle.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Must-Have (Core AI Skills)- Python, Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, Prompt Engineering, Agentic AI, Copilot Studio

Must-Have (Cloud & DevOps)- GitHub Actions, CI/CD, Azure DevOps, Docker, AKS/App Services/Functions

Must-Have (Data & AI Platforms)- Databricks, Vector Databases, ADF/Synapse, Embeddings

Preferred Technical And Professional Experience

Good-to-Have C#, Node.js, Azure ML, Cognitive Services, GraphQL, Cosmos DB, PostgreSQL

Leadership & Governance Responsible AI, Code Reviews, Technical Audits, AI Governance, Production Ownership