- Company Name
- Proximus Ada
- Job Title
- Senior B2B AI Consultant
- Job Description
-
**Job Title**
Senior B2B AI Consultant
**Role Summary**
Design, develop, and deliver end‑to‑end AI solutions for B2B clients, translating business needs into scalable, production‑ready architectures that integrate with existing systems. Collaborate with cross‑functional teams, pilot prototypes, and present outcomes to non‑technical stakeholders.
**Expectations**
* Deliver high‑quality AI solutions that meet client specifications and technical excellence standards.
* Demonstrate continuous learning and adaptability to emerging AI technologies.
* Maintain strong customer focus, communication, and problem‑solving across diverse stakeholder groups.
**Key Responsibilities**
1. Translate client requirements into AI solution architectures aligned with business objectives.
2. Develop and prototype generative AI applications, leveraging LLMs and related libraries (LangChain, Llamaindex, etc.).
3. Deploy scalable, robust AI models to production environments, ensuring seamless integration with clients’ systems.
4. Pilot prototypes within production workflows to validate value and refine models.
5. Collaborate with customer business experts, often onsite, to gather insights and validate solutions.
6. Present results and technical findings to multi‑disciplinary teams in clear, accessible terms.
7. Share knowledge and best practices with internal and external partners.
**Required Skills**
* 5+ years in AI/ML engineering with proven deployment and integration experience.
* Advanced proficiency in Python and modern AI/statistical methods.
* Experience with LLM frameworks (LangChain, Llamaindex, Langgraph, AutoGen, CrewAI, etc.).
* Hands‑on Azure Cloud, Azure Data & AI services; Git/GitHub, CI/CD pipelines, and software development best practices.
* Familiarity with MLOps (MLflow, Kubeflow, TFX) and agentic AI frameworks.
* Cloud platform experience (AWS, GCP) a plus.
* Strong problem‑solving, communication, customer‑orientation, collaboration, resilience, and delivery mindset.
**Required Education & Certifications**
* PhD or Master’s degree in Artificial Intelligence, Computer Science, Engineering, or related technical field.
* No specific certifications required, but relevant AI/ML, cloud, or MLOps certifications are advantageous.