Lead AI Engineer

Lead AI Engineer

VN781

Lead AI Engineer

Bangalore

Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.

We are seeking a visionary Lead AI Engineer with 12+ years of experience to lead the design, and development of AI-driven solutions that power our next-generation products. As a strategic thought leader, you will work closely with product managers, data scientists, software engineers, and business stakeholders to integrate cutting-edge AI into scalable, secure, and high-performing systems. Your expertise will be pivotal in shaping the future of our AI strategy and aligning it with the company's product roadmap.

1. Strategic Leadership & Product Innovation

Design, develop, and deploy AI solutions within an organization, guiding teams and aligning technical strategies with business objectives.

Partner with executive leadership and product teams to identify AI opportunities and translate them into impactful features.

Drive innovation by evaluating and integrating emerging AI/ML trends and technologies (e.g., GenAI, LLMs, edge AI, multimodal AI).

2. Solution Architecture & System Design

Build end-to-end AI solutions, including data pipelines, model training/deployment, inference engines, and integration layers.

Design AI systems for scalability, low latency, and high availability, ensuring they meet enterprise-grade standards.

Define modular, reusable components and APIs for seamless AI service integration into the product ecosystem.

3. AI/ML Model Development & Governance

Guide the design and development of ML models, NLP systems, computer vision models, and recommendation engines.

Oversee model lifecycle management: versioning, retraining, drift monitoring, and auditing.

Establish MLOps practices for model CI/CD, automated testing, and deployment workflows using platforms like MLflow, Kubeflow, or AWS SageMaker.

4. Data Strategy & Infrastructure

Collaborate with Data Engineering teams to define data architecture supporting model training and real-time inference.

Ensure data privacy, compliance (GDPR/CCPA), and responsible AI principles are embedded into data usage.

Champion quality, fairness, and transparency in data and model outcomes.

5. Technical Leadership & Mentorship

Mentor cross-functional teams of ML engineers, data scientists, and software developers.

Conduct design reviews, code reviews, and AI model evaluations.

Foster a strong engineering culture focused on experimentation, performance, and continuous learning.

6. Stakeholder Management & Communication

Act as the technical bridge between AI teams and business/product stakeholders.

Translate complex AI concepts into actionable insights and business value.

More than 9 years

Bachelor's Degree

Full Time

Group Medical Insurance, Group Personal Accident, Employee Anniversary gift, Loyalty Bonus, Employee Referral Bonus, Rewards and Recognition program, Wellness Allowance, Privilege Leave (PL): 15 days per year, Casual Leave (CL) 12 days per year, Maternity/paternity/Bereavement leave