Vice President, Product Engineering – AI & Platform Engineering

Majesco•United States,

8h•$215,000 - $255,000•Remote

About The Position

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.

Requirements

10+ years of software engineering leadership experience, including significant experience leading complex engineering organizations at the Director or Vice President level.
Experience building or operating AI-native, generative AI, or agentic software development systems—not simply adopting individual AI tools, but redesigning engineering workflows around them.
Deep understanding of modern LLM and AI engineering infrastructure, including context engineering, model governance, evaluation, routing, observability, security, and quality assurance.
Proven success leading complex platform engineering in a SaaS environment.
Experience leading globally distributed engineering teams, including teams operating across the United States and India.
Strong command of modern software engineering environments, including agentic coding platforms, product and engineering management tools, CI/CD pipelines, automation, and structured documentation systems.
A track record of improving engineering productivity and delivery while maintaining high standards for platform quality, security, and reliability.

Nice To Haves

Experience in insurance technology, financial services, or another regulated industry is a plus; demonstrated AI-native engineering leadership is more important than industry background.
You have helped build an agentic or AI-native software development environment—not just prototyped one. You know the difference between a compelling demo and a governed production system.
You think in compounding systems. You design knowledge and context so that each interaction improves what comes next, rather than simply completing the current task.
You bring architectural discipline to knowledge and documentation. You understand that AI systems depend on accurate, structured, governed context.
You have led teams through significant engineering operating-model transitions and know how to balance governance with speed.
You can translate AI capability into measurable engineering and business outcomes.
You communicate with the precision of an engineer and the commercial instinct of a product leader. You can move seamlessly between deep technical discussions and executive-level decisions.

Responsibilities

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-enabled workflows across the software lifecycle and improve how context moves across product, engineering, services, sales, and support.
Partner with engineering leaders across Majesco to develop reusable patterns that can scale across products and teams.
Guide the development and adoption of AI agents and reusable engineering capabilities across implementation, configuration, quality assurance, automation, evaluation, and product development.
Make AI-native development intuitive and practical by connecting technical capabilities to clear business and product outcomes.
Help define and mature an agentic development lifecycle that evolves traditional software development practices for an AI-native environment.
Lead product engineering across a complex enterprise SaaS platform, balancing product enhancement, platform modernization, and ongoing product health.
Drive platform stability, release quality, scalability, and technical debt reduction while accelerating delivery through AI-enabled engineering.
Partner with Product Management to tightly connect engineering execution with customer needs, product capabilities, and roadmap commitments.
Shape the engineering AI toolchain and governance model, including agentic coding platforms, model routing, development standards, and ROI measurement.
Establish measurable engineering outcomes across productivity, quality, reliability, and speed.
Translate successful AI-native engineering approaches into reusable patterns and capabilities that can scale across Majesco.
Recruit, develop, and retain a high-performing, globally distributed engineering organization.
Develop senior engineering leaders and create clear accountability for delivery, quality, AI adoption, and engineering performance.
Build an operating environment in which AI amplifies engineering talent rather than simply adding another layer of tooling.
Drive strong collaboration across Product, Engineering, and Services to improve implementation patterns, product quality, and customer outcomes.