Senior Consultant - AI Engineering
IBM
Senior Consultant - AI Engineering
Job Description
Senior Consultant - AI Engineering
📋 Job Overview
We are seeking a Senior AI Engineer to develop and deploy AI solutions, focusing on large language models, agents, and RAG pipelines. The role involves close collaboration with clients using platforms like Snowflake, AWS, and Google Cloud. The ideal candidate should have technical depth, a delivery-oriented mindset, and excellent communication skills to lead client engagements and cross-functional teams.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Architect, build, and deliver real-world AI solutions
- Collaborate closely with clients
- Stay informed on emerging AI technologies and bring innovative capabilities into production use
- Lead client engagements and cross-functional teams
✅ Required Qualifications
- Strong track record of developing and deploying AI solutions
- Experience with large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines
- Technical depth and a pragmatic, delivery-oriented mindset
- Excellent communication skills
🛠️ Required Skills
- AI solution development and deployment
- Large language models (LLMs)
- Agents
- Retrieval-augmented generation (RAG) pipelines
- Snowflake
- AWS
- Google Cloud
- Communication skills
- Leadership
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Multiple Locations, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI solution development and deploymentintermediate
- Large language models (LLMs)intermediate
- Agentsintermediate
- Retrieval-augmented generation (RAG) pipelinesintermediate
- Snowflakeintermediate
- AWSintermediate
- Google Cloudintermediate
- Communication skillsintermediate
- Leadershipintermediate
Required Qualifications
- Strong track record of developing and deploying AI solutions (experience)
- Experience with large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines (experience)
- Technical depth and a pragmatic, delivery-oriented mindset (experience)
- Excellent communication skills (experience)
Responsibilities
- Architect, build, and deliver real-world AI solutions
- Collaborate closely with clients
- Stay informed on emerging AI technologies and bring innovative capabilities into production use
- Lead client engagements and cross-functional teams
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories
Answer 10 quick questions to check your fit for Senior Consultant - AI Engineering @ IBM.
Related Books and Jobs
Senior Consultant - AI Engineering
IBM
Senior Consultant - AI Engineering
Job Description
Senior Consultant - AI Engineering
📋 Job Overview
We are seeking a Senior AI Engineer to develop and deploy AI solutions, focusing on large language models, agents, and RAG pipelines. The role involves close collaboration with clients using platforms like Snowflake, AWS, and Google Cloud. The ideal candidate should have technical depth, a delivery-oriented mindset, and excellent communication skills to lead client engagements and cross-functional teams.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Architect, build, and deliver real-world AI solutions
- Collaborate closely with clients
- Stay informed on emerging AI technologies and bring innovative capabilities into production use
- Lead client engagements and cross-functional teams
✅ Required Qualifications
- Strong track record of developing and deploying AI solutions
- Experience with large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines
- Technical depth and a pragmatic, delivery-oriented mindset
- Excellent communication skills
🛠️ Required Skills
- AI solution development and deployment
- Large language models (LLMs)
- Agents
- Retrieval-augmented generation (RAG) pipelines
- Snowflake
- AWS
- Google Cloud
- Communication skills
- Leadership
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Multiple Locations, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI solution development and deploymentintermediate
- Large language models (LLMs)intermediate
- Agentsintermediate
- Retrieval-augmented generation (RAG) pipelinesintermediate
- Snowflakeintermediate
- AWSintermediate
- Google Cloudintermediate
- Communication skillsintermediate
- Leadershipintermediate
Required Qualifications
- Strong track record of developing and deploying AI solutions (experience)
- Experience with large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines (experience)
- Technical depth and a pragmatic, delivery-oriented mindset (experience)
- Excellent communication skills (experience)
Responsibilities
- Architect, build, and deliver real-world AI solutions
- Collaborate closely with clients
- Stay informed on emerging AI technologies and bring innovative capabilities into production use
- Lead client engagements and cross-functional teams
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories
Answer 10 quick questions to check your fit for Senior Consultant - AI Engineering @ IBM.
Related Books and Jobs