Vice President, Product Engineering – AI & Platform Engineering
MajescoAbout the role
Majesco isn’t just riding the AI wave – we’re leading it for the P&C, L&AH, and Pension & Retirement markets. Born in the cloud and built with an AI-native vision, we’ve reimagined the insurance and pension core as an intelligent platform that enables insurers and pension & retirement providers to move faster, see farther and operate smarter. As leaders in intelligent SaaS solutions, we’ve embedded AI and Agentic AI throughout our robust product portfolio of core, underwriting, loss control, distribution, digital solutions, and pension & retirement administration so our customer can reimagine their business with real-time business insights, optimized operations, and enhanced business outcomes. Everything we build is designed to strip away complexity and let our clients focus on what matters: delivering exceptional products, experiences, and long-term financial security for policyholders and plan participants.
In a world where change is constant, our native-cloud SaaS platform empowers insurers, MGAs, and pension & retirement providers with the agility to adapt to evolving risk, regulation, and market expectations, modernize operating models, and accelerate innovation at scale. With 1400+ implementations and more than 375 customers worldwide, Majesco is the AI-native solution trusted to power the future of insurance and pension & retirement. Break free from the past and build the future of insurance
At Majesco, this means joining a team leading the insurance and retirement industry through the AI revolution. You’ll collaborate with experienced leaders and global teams building and scaling AI-native solutions that solve complex, real-world challenges - where innovation moves from concept to production, decisions carry real weight, and execution matters. If you’re looking for a place where your expertise is trusted, your judgment is valued, and your work helps define what’s next for intelligent insurance and retirement technology, Majesco is where that work happens.
Our Purpose
At Majesco, we believe in connecting people and business to Insurance in ways that are Innovative, Hyper-Relevant, Compelling and Personal. We bring together the brightest minds to build the future of Insurance; a world where Insurance makes life and business easier, more connected and better protected.
This is a Remote First position which can be performed from most locations in the US.
Vice President, Product Engineering – AI & Platform Engineering
Location: Remote, United States
The Role
Majesco is looking for an exceptional engineering leader to help architect the future of AI-native product engineering and advance our Agentic Operating Model (AOM), our strategic shift toward an AI-native software development operating model.
This is not a maintenance role. The person in this seat will help define how software gets built at Majesco for the next decade.
As Vice President of Product Engineering, you will play a leading role in shaping the engineering architecture, practices, and capabilities behind this transformation. You will also lead product engineering for V3locity, an important platform within Majesco's broader product portfolio, while partnering closely with Product, Engineering, and business leadership to connect product vision with engineering execution.
You will play a critical role in advancing how Majesco applies agentic AI, generative AI, and modern engineering practices to improve software development, quality, and delivery—and in turning successful approaches into reusable capabilities that can scale across products and teams.
What This Role Owns
Agentic Operating Model (AOM)
AOM is a key part of Majesco's engineering transformation. The core thesis: people provide context, judgment, and oversight; AI agents accelerate execution; and trusted, reusable knowledge makes the system more effective over time.
The Vice President of Product Engineering will help architect and advance the engineering application of this model across product engineering.
- Architect and evolve the technical foundations required to support an enterprise-grade, AI-native software development environment.
- Advance AOM across product engineering, using agentic AI to improve engineering productivity, quality, and speed.
- Establish the trusted knowledge and context infrastructure that allows AI agents to operate accurately, securely, and consistently.
- Build the engineering practices required to maintain high-quality context, prevent drift, and continuously improve AI-assisted development.
- Establish strong governance for enterprise AI usage, including security, model access, quality, cost, and performance.
- Expand AI-
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