Overview
Join to apply for the 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?
Role
Senior AI Engineer with a strong track record of developing and deploying AI solutions, particularly in the domain of 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 has excellent communication skills to lead client engagements and cross-functional teams.
Responsibilities
- Solution Architecture : Lead the design and development of LLM-based solutions including RAG pipelines, agent workflows, and generative AI applications.
- Multi-Platform Implementation : Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments.
- Client-Facing Delivery : Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value.
- Model Development & Optimization : Fine-tune models, build embedding workflows, implement vector search, and monitor performance in production environments.
- Workflow Automation & Integration : Architect AI systems that integrate with cloud-based data pipelines and enterprise tools, ensuring reliability and scalability.
- Mentorship & Collaboration : 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 in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity.
This role can be performed from anywhere in the US.
Education & Experience
Preferred Education
Master\'s Degree
Required Technical & 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 productionStrong background in RAG architecture, vector search, and embedding pipelinesFamiliarity with agent frameworks such as LangChain, LlamaIndex, or CrewAIExpertise in Python, with sound software engineering practicesExperience working with Snowflake, including Cortex and UDFs for AI integrationHands-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 stakeholdersDemonstrated ability to scope, build, and deliver full AI solutions—not just prototypesExcellent communication skills, with the ability to translate complex technical concepts for diverse audiences, including clientsStrong leadership skills, with a track record of successfully managing projects and mentoring junior team membersProblem-solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelinesPreferred Technical & Professional Experience
Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.)Understanding of AI cost optimization and production reliability concernsPrior experience with consulting or professional services engagementsExperience building AI solutions with synthetic or simulated dataContributions to open-source AI projects or active involvement in AI communitiesExtensive experience with industry-specific AI applications, such as healthcare, finance, supply chain, or retail / CPGAdvanced proficiency in natural language processing (NLP) and computer vision technologiesMaster\u2019s or Ph.D. preferredSeniority
Mid-Senior levelEmployment Type
Full-timeJob Function
Engineering and Information TechnologyIndustries : IT Services and IT ConsultingJ-18808-Ljbffr