Job Title : AI Solution Specialist

Location: Bangalore
Department: Client Success
Reports to: Director of Client Experience

As an AI Specialist, you will play a pivotal role in bridging the gap between our AI-driven solutions and client needs. You will be responsible for deeply understanding Tookitaki’s product offerings, analyzing client challenges from both technical and operational perspectives, and providing innovative solutions to enhance their product adoption and experience. Your expertise in AI, data science, and product deployment will be crucial in delivering value-driven solutions to our clients

Roles & responsibilities:

Product Expertise & Client Understanding

• Gain an in-depth understanding of Tookitaki’s AI-driven financial crime solutions, including model architecture, end-to-end data processing workflow, algorithms, and operational workflows.

• Stay updated on advancements in AI/ML, financial crime compliance, and regulatory requirements.

Client Problem-Solving & Solutioning

• Engage with clients to understand their pain points, both technical (model performance, data integration, system scalability) and operational (workflow efficiency, compliance alignment).

• Perform deep-dive analysis into client issues, diagnosing problems related to AI models, data pipelines, and implementation.

• Work closely with cross-functional teams (Product, Data Science, Engineering, and Customer Success) to develop tailored solutions.

• Provide recommendations on AI model tuning, data quality improvements, feature engineering, and workflow optimization.

Technical Support & Advisory

• Assist in troubleshooting and resolving AI/ML-related issues post-deployment.

• Guide clients on best practices for AI-driven compliance solutions, model retraining, and data pipeline enhancements.

• Collaborate with internal stakeholders to enhance Tookitaki’s product roadmap based on client feedback and industry trends.

Stakeholder Collaboration & Documentation

• Communicate complex AI concepts in an easy-to-understand manner for both technical and non-technical stakeholders.

• Prepare solution documents, client reports, and knowledge bases to streamline AI troubleshooting and operational adoption.

• Conduct training and knowledge-sharing sessions with clients and internal teams.

   

Key Qualifications & Experience

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• 3+ years of experience in AI/ML, data science, or a related technical role.

• Strong understanding of machine learning models, data engineering, and AI deployment strategies.

• Experience with Python, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• Familiarity with major cloud platforms (AWS, Azure, GCP), containerization (Docker) and container orchestration (Kubernetes) is a plus.

• Excellent analytics and problem-solving skills, with the ability to diagnose and address both technical and operational issues.

• Strong communication and stakeholder management skills, with the ability to translate AI concepts into actionable business insights.

OKR

OKR1: Increase Client Adoption and Engagement

• Grow average active users per client by 20% by Q4 2025

• Achieve 75% adoption of key FinCense features within six months post-go-live

• Ensure 80% compliance to adoption plan timelines across all clients

OKR2: Leverage Data for Client Success

• Deploy usage dashboards for 75% of active clients by Q3 2025

• Provide monthly usage reports to Product team for enhancements

• Identify and bridge training gaps for client teams based on usage data