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Senior Consultant - AI Engineering

IBM

Salary not specified
Sep 9, 2025
New York, NY, US
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IBM Consulting is looking to solve the business and technical problem of developing and deploying AI solutions, particularly in the domain of large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines for their clients.

Requirements

  • 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 working with Snowflake, including Cortex and UDFs for AI integration
  • Hands-on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP)
  • Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.)

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.
  • Stay informed on emerging AI technologies and bring innovative capabilities into production use.

Other

  • Demonstrated experience working in a professional services or consulting environment with client-facing responsibilities.
  • 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
  • Master's Degree
  • Bachelor’s degree in Computer Science, Data Science, AI, or a related field