Responsibilities
- Lead stakeholder sessions to identify needs and gather functional requirements.
- Design complete AI system architectures for Generative AI, Machine Learning, and Intelligent Automation projects.
- Establish integration methods connecting enterprise systems, APIs, databases, and cloud platforms.
- Produce technical diagrams, solution blueprints, and implementation timelines.
- Assess AI tools, platforms, and frameworks to determine optimal technology choices.
- Guide clients and internal teams on strategies for adopting AI and identifying valuable use cases.
- Perform feasibility studies, run proof-of-concept trials, and evaluate AI technologies.
- Develop frameworks for ethical AI covering bias detection, model transparency, data privacy, and compliance with regulations such as the EU AI Act.
- Find opportunities to improve business processes using AI and automation technologies.
- Provide technical direction and oversight across all phases of project delivery.
- Work closely with AI/ML engineers, data scientists, software developers, and product managers.
- Review architectural designs to ensure compliance with enterprise standards.
- Support planning for deployment, risk mitigation, and scalable solution design throughout the delivery lifecycle.
- Communicate technical details effectively to both technical and non-technical audiences.
- Interact with senior executives to ensure AI projects support strategic business objectives.
- Prepare solution proposals, statements of work, and detailed technical documentation.
