International Trainee driving AI integration and usage increase in Baltic Retail Bank. Collaborating with sales units to enhance customer value and operational efficiency.
About the role
- Agentic AI Strategist Specialist leading design and deployment of AI solutions at AES. Collaborating across teams to integrate intelligent systems for optimizing renewable energy operations.
Responsibilities
- Spearhead the design, development, and deployment of agentic AI solutions for the renewable energy sector.
- Leverage expertise in autonomous intelligent agents, machine learning, and AI strategy to realize measurable business value.
- Collaborate cross-functionally to integrate agentic AI into core processes and embed Responsible AI principles into every stage.
- Design, prototype, and deploy autonomous intelligent agents using advanced development platforms.
- Monitor and evaluate deployed agentic solutions, iterate based on feedback, and address emergent risks or unintended behaviors.
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; advanced degrees are highly preferred.
- 2+ years of professional experience in Data Science, Machine Learning, or AI, including hands-on development of agentic or autonomous systems.
- Proven track record of delivering impactful AI solutions, with at least 2 years in the renewable energy or related cleantech sector preferred.
- Deep familiarity with reinforcement learning, multi-agent systems, natural language processing, conversational AI, and planning architectures.
- Fluency in programming languages such as Python (with libraries like TensorFlow, PyTorch, RLlib), familiarity with cloud platforms (GCP, Azure), and scalable architecture.
- Hands-on experience with advanced agent development platforms such as Microsoft Copilot Studio, Google Agent Space, or similar frameworks is highly valued.
- Familiarity with designing, deploying, and managing agent workflows in these environments, including integrating them with enterprise data sources and automation pipelines.
- Experience integrating data visualization and analytics tools (Power BI, Looker) with AI agents to surface actionable insights.
- Strong communication and interpersonal abilities, enabling you to bridge technical and business domains effectively.
Benefits
- health insurance
- 401(k) eligibility
- various paid time off benefits (such as vacation, sick time, and parental leave)
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