Affordplan- Head of Engineering

Company: Affordplan

Location: Gurugram, India

Experience: 15+ Years

Affordplan is a category-leading healthcare platform dedicated to transforming the financial health of hospitals through technology and strategic innovation. 

Our product Swasth™ enables partner hospitals to drive more engaging patient life cycles while helping patients save on their medical bills. With a footprint spanning 100+ hospitals across 25+ cities, we empower healthcare providers to drive sustainable growth. Our ecosystem currently touches over 10 lakh families, bridging the gap between quality healthcare and financial accessibility.

Additionally, we’ve recently launched Procalyx™, our AI-based, patented procurement platform. It unleashes a level of next-generation procurement intelligence that often surpasses even the capabilities of large corporate chains. By connecting hospitals directly with 100+ pharmaceutical and med device companies, we unlock direct improvement in purchase margins through AI-driven price discovery and automated guardrails that plug operational leakage—technologies that move beyond traditional manual procurement.

Technology Leadership:

 Provide strategic leadership and oversight for the technology and AI engineering teams, ensuring the delivery of innovative, AI-enabled, and tailor-made project solutions. 

 Own the engineering deliverables and P&L for the tech function, driving the product roadmap, AI adoption strategy, product evolution, and scalable architecture. 

 Identify, evaluate, and implement emerging AI technologies and intelligent automation solutions that enhance Affordplan's competitive edge in the healthcare fintech and procurement sectors. 

 Lead the integration of AI/ML capabilities into products, workflows, analytics platforms, and customer-facing solutions.

Product Development & Transformation:

 Oversee the complete product life cycle, managing front-end, back-end, cloud, and AI-powered solution development to deliver high-quality, scalable products. 

 Develop and implement scalable, secure, and AI-ready product architectures supporting multiple product lines (Swasth and Procalyx). 

 Drive digital transformation initiatives by leveraging cloud technologies (AWS, Azure), Generative AI, predictive analytics, and data-driven decision-making frameworks. 

 Collaborate with cross-functional teams to incorporate AI-driven insights, automation, and intelligent workflows into core business operations.

Team Management & Development:

 Build, mentor, and scale a high-performing technology and AI engineering team, fostering a culture of innovation, collaboration, experimentation, and continuous learning. 

 Ensure teams are equipped with modern AI tools, frameworks, and engineering best practices to meet evolving business and technological demands. 

 Drive AI capability building across engineering teams through mentorship, hiring strategy, and continuous upskilling initiatives. 

 Adhere to allocated budgets for resource planning while aligning with the Annual Operating Plan (AOP).

Technical Oversight:

 Ensure robust security, compliance, governance, and risk management practices across all technology and AI platforms. 

 Establish best practices for responsible AI adoption, data privacy, model governance, and ethical AI implementation. 

 Maintain deep expertise in industry trends, emerging AI technologies, cloud platforms, and modern engineering practices to guide Affordplan’s long-term technology strategy.

• B.Tech/M.Tech in Computer Science, Information Technology, or a related field.
• Strong technical expertise with a deep understanding of software development, architecture, and engineering best practices.

• 15+ years of experience in technology leadership roles, with significant exposure to AI-led product engineering and digital transformation initiatives. 
• Proven track record of managing and scaling technology and AI teams in fast-paced environments. 
• Extensive experience in front-end, back-end, cloud, and AI-enabled application development with a comprehensive understanding of the product life cycle. 
• Hands-on experience with AI/ML technologies, Generative AI, intelligent automation, data platforms, and analytics-driven product ecosystems. 
• Expertise in software architecture, cloud computing, DevOps, cybersecurity, and AI infrastructure management. 
• Proficiency in modern programming languages, AI frameworks, cloud-native architectures, and technologies relevant to fintech and healthcare solutions. 
• Strong understanding of data engineering, model deployment pipelines, MLOps, and scalable AI system implementation.