Job Description: Head of Engineering

Company: Affordplan

Location: Gurugram, India

Experience: 15+ Years

Company Overview

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.

The Role

The ideal candidate should possess exceptional leadership skills, a deep understanding of technology, AI-driven systems, and modern tech infrastructure, along with the ability to drive complex product development cycles. As the Head of Engineering, you will serve as a strategic partner to the management team, aligning technology and AI initiatives with business goals and future company endeavors. The role requires a strong background in Artificial Intelligence, Machine Learning adoption, intelligent automation, and AI-led product transformation within scalable platforms.

Key Responsibilities

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.

Education & Qualifications

• 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.

Experience & Skills

• 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.