AI Engineer- FDE
Weekday AI
- Location
- Onsite (Bengaluru, Karnataka)
- Compensation
- INR 2500k - INR 6000k/yr
- Employment
- Full-time
- Level
- Mid Level
About the Role
Weekday AI is sourcing an AI Engineer for a client in the banking and financial services sector. The role focuses on digital transformation, developing scalable technology solutions, and leveraging AI and data analytics to enhance financial capabilities.
Skills
Full job details
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟲𝟬 𝗟𝗣𝗔)
Experience: 2+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for a talented and forward-thinking Technology & Financial Services Professional to contribute to the development of next-generation banking and financial services capabilities. The role offers an opportunity to work at the intersection of financial services, technology, data, artificial intelligence, and digital transformation.
The ideal candidate will bring strong analytical and problem-solving capabilities, an interest in financial services, and the ability to work across technology and business functions to deliver innovative, scalable, and customer-focused solutions.
Key Responsibilities
- Contribute to technology and digital transformation initiatives across banking and financial services.
- Work with business and technology stakeholders to understand requirements, challenges, and opportunities.
- Support the design, development, implementation, and enhancement of technology-enabled financial solutions.
- Contribute to initiatives involving data, analytics, artificial intelligence, automation, and digital platforms.
- Analyse business processes and identify opportunities for technology-led optimisation.
- Collaborate with product, engineering, technology, data, operations, and business teams.
- Translate business requirements into clear technical or functional solutions.
- Support the delivery of scalable, secure, reliable, and customer-focused digital capabilities.
- Participate in solution design, process improvement, testing, implementation, and deployment activities.
- Analyse data and business insights to support informed decision-making.
- Contribute to innovation initiatives involving emerging technologies and modern banking capabilities.
- Assist in identifying risks, dependencies, technical challenges, and opportunities for improvement.
- Prepare clear documentation, presentations, analysis, and project updates for relevant stakeholders.
- Work effectively within cross-functional and globally distributed teams.
- Stay current with developments in banking technology, fintech, AI, data, cloud, and digital financial services.
What Makes You a Great Fit
- 2+ years of professional experience in technology, financial services, fintech, digital transformation, product, data, analytics, or a related field.
- Strong interest in the intersection of banking, technology, data, and digital innovation.
- Good understanding of financial services, banking products, customer journeys, or technology-enabled business processes.
- Strong analytical and problem-solving abilities with a structured approach to complex challenges.
- Ability to understand business requirements and translate them into practical solutions.
- Exposure to AI, data analytics, automation, cloud technologies, digital platforms, or modern software engineering is an advantage.
- Strong communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.
- Comfortable working across multidisciplinary teams and managing multiple priorities.
- Strong attention to detail and commitment to delivering high-quality work.
- Ability to work effectively in a fast-paced, transformation-oriented environment.
- Strong learning agility and willingness to work with emerging technologies and evolving financial services models.
- Experience in banking, fintech, financial technology, consulting, or large-scale enterprise environments would be an advantage.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Finance, Business, Economics, or a related discipline is preferred.