IT AI Solutions Engineer

IT AI Solutions Engineer

We are seeking a techno-functional IT AI Solutions Engineer to drive the development, integration, and deployment of Generative AI and AI-powered solutions.

This role requires a hybrid skill set—combining technical expertise in AI/ML with the ability to collaborate with business teams, IT and transversal functions (e.g. Security, Risk, Architecture, Production) to deliver scalable, compliant and impactful AI solutions.

You will act as a bridge between business needs and technical execution, identifying use cases, designing solutions, and ensuring seamless integration with our existing systems. Your role will also involve establishing best practices, fostering knowledge sharing, and promoting a culture of innovation and responsible AI.

Key Responsibilities

AI Strategy and Roadmap

• Define, prioritize, and execute the AI capability roadmap in alignment with the bank’s strategic goals and the global "One Bank" approach.
• Identify and assess high-impact AI use cases in collaboration with business teams and stakeholders.
• Stay abreast of emerging AI trends, tools, and frameworks to drive innovation.

AI Solution Development and Integration

• Design, develop, and integrate Generative AI solutions using Azure OpenAI, Mistral, or other relevant platforms.
• Build AI-driven features and applications that enhance business processes and customer experience.
• Ensure efficient data exchange between AI models and business applications while adhering to data governance and security standards.

Cross-Functional Collaboration

• Work closely with business analysts, product owners, and domain experts to translate business requirements into technical AI solutions.
• Partner with Security, Risk, Architecture and Production teams to ensure scalable, secure, and compliant AI deployments.
• Collaborate with Ops teams to deploy AI models into production and monitor their performance.

Stakeholder Engagement

• Build and maintain strong relationships with internal and external stakeholders, including business users, technology teams, and vendors.
• Communicate AI concepts, capabilities, and limitations in a clear, non-technical manner to facilitate decision-making.
• Act as a trusted advisor to business teams, guiding them on AI feasibility, ROI, and implementation strategies.

Best Practices and Knowledge Sharing

• Establish and promote best practices for AI development, deployment, and observability.
• Develop documentation, training materials, and guidelines to foster a culture of continuous learning and responsible AI.
• Mentor and upskill team members and stakeholders on AI tools, methodologies, and ethical considerations.

Competencies (Technical / Behavioral)

• 8-10 years in financial services technology with 5+ years in AI/ML.
• Technical Expertise: Generative AI, NLP, Deep Learning, and ML frameworks.Azure OpenAI/Mistral, Python, APIs, and cloud platforms.
• Good to have: Big Data tools and MLOps.
• Functional Skills: Strong understanding of banking/financial services to translate business needs into AI solutions.
• Experience with Agile/Scrum and cross-functional collaboration.
• Soft Skills: Clear communication to explain AI concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on innovation and compliance.

Key skills/competency

• Generative AI
• Azure OpenAI
• Machine Learning
• Natural Language Processing (NLP)
• Deep Learning
• Python
• Financial Services
• Data Governance
• MLOps
• Agile/Scrum