Consultant - AI Engineering

Consultant – AI Engineering

Company:
IBM (previously Hakkoda, acquired by IBM in April 2025).

Location:

Anywhere in the US.

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. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems?

Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming AI systems, testing machine learning tools, and resolving issues with algorithms and data to ensure systems work correctly. AI tools include chatbots, translation tools, predictive text, and virtual assistants.

• AI Solution Design:
  Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients.
• Model Development:
  Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications.
• Client Engagement:
  Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes.
• Data Preprocessing:
  Clean, analyze, and prepare large datasets for machine learning and AI model training.
• Implementation & Deployment:
  Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization.
• Cloud Management Strategies:
  Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP.
• Collaborative Problem Solving:
  Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement.
• AI Research & Innovation:
  Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization.
• Documentation:
  Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Git Hub, Bitbucket, and Git Lab.

• Education:
  
  Bachelor’s degree in Computer Science, Data Science, AI, or related field (Master’s or Ph.D. is a plus).
• Experience:
  • Minimum of 3–5 years of experience in AI engineering, machine learning, or related fields.
  • Experience working in a professional services or consulting environment is highly desirable.
• Technical
  
  Skills:
  • Expert proficiency in Python (other programming languages highly valued).
  • Deep knowledge and practical implementation of advanced AI technologies, including Lang Chain, vector stores, etc.
  • Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning).
  • Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI models.
  • Experience with data analytics and data engineering tools (SQL, Hadoop, Spark).
  • Proven experience in planning, developing, and implementing complex data pipelines.
• Soft Skills:
  • Strong communication skills with the ability to explain complex AI concepts to non‑technical stakeholders.
  • Ability to work in a fast‑paced, client‑facing environment with attention to detail.
  • Strong problem‑solving skills and the ability to think creatively to solve client challenges.

• Knowledge of industry‑specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG).
• Experience with natural language processing (NLP) and computer vision technologies.
• Previous experience in an Agile or Scrum environment.