IBM
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Senior Consultant - AI Engineering
role at
IBM .
Introduction At IBM, work is more than a job - it's a calling. Build, design, code, consult, think with clients, and solve some of the world's most challenging problems. Are you ready to lead in this new era of technology and make a difference?
Overview We are seeking a
Senior AI Engineer
with a strong track record of developing and deploying AI solutions, especially in large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines. You will collaborate with clients to architect, build, and deliver real-world solutions using Snowflake, AWS, and Google Cloud platforms.
Responsibilities
Lead the design and development of LLM-based solutions, including RAG pipelines, agent workflows, and generative AI applications.
Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments.
Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value.
Fine‑tune models, build embedding workflows, implement vector search, and monitor performance in production environments.
Architect AI systems that integrate with cloud‑based data pipelines and enterprise tools, ensuring reliability and scalability.
Provide technical leadership, mentor junior engineers, and contribute to the growth of IBM’s AI practice.
Stay informed on emerging AI technologies and bring innovative capabilities into production use.
Preferred Education Master’s Degree
Required Technical And Professional Expertise
Education: Bachelor’s degree in Computer Science, Data Science, AI, or a related field.
Experience: 5–7 years of AI engineering or machine learning experience in a professional services or consulting environment.
Must-have skills:
Proven experience deploying LLM-powered applications into production.
Strong background in RAG architecture, vector search, and embedding pipelines.
Familiarity with agent frameworks such as LangChain, LlamaIndex, or CrewAI.
Expertise in Python with sound software engineering practices.
Experience working with Snowflake, including Cortex and UDFs for AI integration.
Hands‑on experience deploying AI solutions on AWS and GCP.
Strong client‑facing skills and ability to lead technical discussions.
Excellent communication and presentation skills.
Leadership experience managing projects and mentoring junior team members.
Preferred technical and professional experience:
Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases).
Understanding of AI cost optimization and production reliability.
Prior consulting engagement experience.
Experience building AI solutions with synthetic or simulated data.
Contributions to open‑source AI projects or active involvement in AI communities.
Industry‑specific application experience (healthcare, finance, supply chain, etc.).
Advanced proficiency in NLP and computer vision.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at IBM by 2×.
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Senior Consultant - AI Engineering
role at
IBM .
Introduction At IBM, work is more than a job - it's a calling. Build, design, code, consult, think with clients, and solve some of the world's most challenging problems. Are you ready to lead in this new era of technology and make a difference?
Overview We are seeking a
Senior AI Engineer
with a strong track record of developing and deploying AI solutions, especially in large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines. You will collaborate with clients to architect, build, and deliver real-world solutions using Snowflake, AWS, and Google Cloud platforms.
Responsibilities
Lead the design and development of LLM-based solutions, including RAG pipelines, agent workflows, and generative AI applications.
Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments.
Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value.
Fine‑tune models, build embedding workflows, implement vector search, and monitor performance in production environments.
Architect AI systems that integrate with cloud‑based data pipelines and enterprise tools, ensuring reliability and scalability.
Provide technical leadership, mentor junior engineers, and contribute to the growth of IBM’s AI practice.
Stay informed on emerging AI technologies and bring innovative capabilities into production use.
Preferred Education Master’s Degree
Required Technical And Professional Expertise
Education: Bachelor’s degree in Computer Science, Data Science, AI, or a related field.
Experience: 5–7 years of AI engineering or machine learning experience in a professional services or consulting environment.
Must-have skills:
Proven experience deploying LLM-powered applications into production.
Strong background in RAG architecture, vector search, and embedding pipelines.
Familiarity with agent frameworks such as LangChain, LlamaIndex, or CrewAI.
Expertise in Python with sound software engineering practices.
Experience working with Snowflake, including Cortex and UDFs for AI integration.
Hands‑on experience deploying AI solutions on AWS and GCP.
Strong client‑facing skills and ability to lead technical discussions.
Excellent communication and presentation skills.
Leadership experience managing projects and mentoring junior team members.
Preferred technical and professional experience:
Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases).
Understanding of AI cost optimization and production reliability.
Prior consulting engagement experience.
Experience building AI solutions with synthetic or simulated data.
Contributions to open‑source AI projects or active involvement in AI communities.
Industry‑specific application experience (healthcare, finance, supply chain, etc.).
Advanced proficiency in NLP and computer vision.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at IBM by 2×.
#J-18808-Ljbffr