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: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
Company Overview Hakkoda is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics, and data science. We are seeking curious and creative individuals who want to be part of a fast‑paced, dynamic environment.
Overview We are seeking a
Senior AI Engineer
with a strong track record of developing and deploying AI solutions, particularly in large language models (LLMs), agents, and retrieval‑augmented generation (RAG) pipelines. This role will involve close collaboration with clients to architect, build, and deliver real‑world solutions using platforms such as
Snowflake ,
AWS , and
Google Cloud . The ideal candidate combines technical depth with a pragmatic, delivery‑oriented mindset and excellent communication skills to lead client engagements and cross‑functional teams.
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 Hakkoda’s AI practice.
Innovation & Research Stay informed on emerging AI technologies and bring innovative capabilities into production use.
As of April 2025, Hakkoda has been acquired by IBM and will be integrated into the IBM organization. Your recruitment process will be managed by IBM, which is the hiring entity.
This role can be performed from anywhere in the US.
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:
Minimum of 5–7 years of experience in AI engineering, machine learning, or related fields.
Demonstrated experience working in a professional services or consulting environment with client‑facing responsibilities.
Must‑Have Skills and Experience:
Proven experience developing and 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 with Snowflake, including Cortex and UDFs for AI integration.
Hands‑on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP).
Strong client‑facing skills, with the ability to lead technical discussions and present to stakeholders.
Demonstrated ability to scope, build, and deliver full AI solutions—not just prototypes.
Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
Strong leadership skills and a track record of successfully managing projects and mentoring junior team members.
Problem‑solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines.
Preferred Technical And Professional Experience
Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.).
Understanding of AI cost optimization and production reliability concerns.
Prior experience with consulting or professional services engagements.
Experience building AI solutions with synthetic or simulated data.
Contributions to open‑source AI projects or active involvement in AI communities.
Extensive experience with industry‑specific AI applications (e.g., healthcare, finance, supply chain, retail/CPG).
Advanced proficiency in natural language processing (NLP) and computer vision technologies.
Master’s or Ph.D. preferred.
Referrals increase your chances of interviewing at IBM by 2×.
#J-18808-Ljbffr
Senior Consultant - AI Engineering
role at
IBM
Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
Company Overview Hakkoda is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics, and data science. We are seeking curious and creative individuals who want to be part of a fast‑paced, dynamic environment.
Overview We are seeking a
Senior AI Engineer
with a strong track record of developing and deploying AI solutions, particularly in large language models (LLMs), agents, and retrieval‑augmented generation (RAG) pipelines. This role will involve close collaboration with clients to architect, build, and deliver real‑world solutions using platforms such as
Snowflake ,
AWS , and
Google Cloud . The ideal candidate combines technical depth with a pragmatic, delivery‑oriented mindset and excellent communication skills to lead client engagements and cross‑functional teams.
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 Hakkoda’s AI practice.
Innovation & Research Stay informed on emerging AI technologies and bring innovative capabilities into production use.
As of April 2025, Hakkoda has been acquired by IBM and will be integrated into the IBM organization. Your recruitment process will be managed by IBM, which is the hiring entity.
This role can be performed from anywhere in the US.
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:
Minimum of 5–7 years of experience in AI engineering, machine learning, or related fields.
Demonstrated experience working in a professional services or consulting environment with client‑facing responsibilities.
Must‑Have Skills and Experience:
Proven experience developing and 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 with Snowflake, including Cortex and UDFs for AI integration.
Hands‑on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP).
Strong client‑facing skills, with the ability to lead technical discussions and present to stakeholders.
Demonstrated ability to scope, build, and deliver full AI solutions—not just prototypes.
Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
Strong leadership skills and a track record of successfully managing projects and mentoring junior team members.
Problem‑solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines.
Preferred Technical And Professional Experience
Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.).
Understanding of AI cost optimization and production reliability concerns.
Prior experience with consulting or professional services engagements.
Experience building AI solutions with synthetic or simulated data.
Contributions to open‑source AI projects or active involvement in AI communities.
Extensive experience with industry‑specific AI applications (e.g., healthcare, finance, supply chain, retail/CPG).
Advanced proficiency in natural language processing (NLP) and computer vision technologies.
Master’s or Ph.D. preferred.
Referrals increase your chances of interviewing at IBM by 2×.
#J-18808-Ljbffr