Director, Product Development - AI

MRI India; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Hybrid working arrangements

Tuition reimbursement

Medical insurance for extended family

Flexible holidays and PTO

Job summary

MRI Software is seeking a Director of AI Engineering in Bengaluru to lead architecture and delivery of AI capabilities across MRI’s platform and product portfolio. You will own a shared AI platform, drive AIOps, and champion modern engineering practices, including agentic AI and Model Context Protocol.

You will build and scale an engineering organization, collaborate with product, security, and data teams, and interact with executives on AI trust and business impact.

Qualifications

• 10+ years of engineering leadership experience.
• Hands-on experience architecting and delivering AI/ML systems, including LLM apps, RAG and agentic patterns.
• Advanced Python skills; able to engage in architecture reviews and hands-on problem solving.
• Experience with Model Context Protocol or comparable interoperability frameworks.
• Strong API design, microservices, and cloud-native architectures (Azure, AWS, GCP).
• Experience improving engineering delivery velocity via tooling, processes and AI-assisted development.
• Familiarity with product lifecycle management; partner with product management.
• Strong data pipelines/ platforms knowledge for AI at scale.
• Solid grounding in data science concepts, model evaluation and data quality.
• Experience establishing AI governance, model risk management, responsible AI practices.
• Technical judgment for high scalability/high performance systems.
• Proven ability to influence executive-level stakeholders across Engineering, Product and business.
• Experience owning infrastructure and vendor cost accountability with ROI measurements.
• Security practices for AI and agentic systems, including threat modeling and IAM patterns.

Responsibilities

• Define and drive MRI's AI engineering roadmap, platform architecture, and technology direction.
• Lead and scale the AI engineering organization responsible for model integration, RAG, agent orchestration and platform services.
• Own the shared AI platform, including prompt management, evaluation frameworks, vector databases, and model routing.
• Champion Model Context Protocol adoption and interoperability standards across MRI's product ecosystem.
• Define enterprise agent ecosystem approach with interoperability, shared memory, cross-product orchestration.
• Architect and scale agentic AI ecosystems across products and data sources.
• Define AI reference architectures and reusable patterns for standardization.
• Partner with product leadership to translate AI roadmap priorities into engineering work.
• Establish engineering practices, tooling, governance to increase AI feature delivery velocity.
• Drive AI-assisted development practices including AI-assisted coding and workflow tooling.
• Own model lifecycle management from evaluation to deployment, monitoring and retirement.
• Select models/AI technologies balancing cost, quality and scale.
• Establish AIOps/LLMOps with observability, telemetry and model evaluation.
• Own AI infrastructure and model consumption costs; establish unit economics and ROI for AI features.
• Set API design and integration standards to support AI features across MRI platforms.
• Own knowledge architecture including semantic layers, metadata, and knowledge graphs for AI systems.
• Collaborate with data engineering to ensure scalable data foundations for AI initiatives.
• Evaluate and pilot emerging AI tech; translate trends into actionable MRI initiatives.
• Establish governance and responsible AI practices for model usage, data handling, and agent behavior.

Skills

Engineering leadership

AI/ML systems

Python

Model Context Protocol

API design

Cloud native architectures (Azure/AWS/

AI governance

Cost accountability / ROI

AI assisted development

Security practices for AI

Executive stakeholder influence

Vendor cost accountability

Tools

Azure

AWS

GCP

Job description

Director, AI Engineering MRI Software is seeking a Director of AI Engineering to lead the architecture and delivery of AI capabilities across MRI's platform and product portfolio. This is a technical leadership role, owning how AI gets built, integrated, and operated at scale, and building the engineering organization behind it. The Director will own the shared AI platform and its underlying data and knowledge foundation, drive AIOps practices and economic accountability for AI infrastructure, and champion modern AI engineering practices including agentic systems, Model Context Protocol and related interoperability standards, AI assisted development, and enterprise agent ecosystem design. The role establishes reusable architecture patterns and self-service platform capabilities across MRI's business units, partners closely with product, IT, data, and security leadership, and drives adoption of AI-native engineering practices within the organization. The Director also engages directly with customers and executive leadership on AI trust, adoption, and business impact.

Key Responsibilities

• Define and drive MRI's AI engineering roadmap, including build versus buy decisions, platform architecture, and technology direction.
• Lead and scale the AI engineering organization responsible for model integration, RAG systems, agent orchestration, and AI platform services, including hiring, org design, and coaching engineering leaders and architects.
• Own the shared AI platform, including prompt management, evaluation frameworks, vector databases, model gateway and routing services, and agent registries.
• Champion adoption of Model Context Protocol and other emerging interoperability standards to connect AI capabilities across MRI's product ecosystem.
• Define MRI's enterprise agent ecosystem approach, including agent interoperability, shared memory and context management, cross-product orchestration, and reusable agent capabilities across the portfolio.
• Architect and scale agentic AI ecosystems that operate across multiple products, data sources, and internal systems.
• Define AI reference architectures and reusable patterns for the AI engineering organization, driving standardization over product level fragmentation.
• Partner with product leadership to translate AI roadmap priorities into engineering execution and sequencing.
• Establish engineering practices, tooling, and governance that increase delivery velocity for AI powered features across the organization.
• Drive AI assisted development practices, including AI assisted coding and workflow tooling, to improve engineering team productivity.
• Own model lifecycle management, from evaluation and selection through deployment, monitoring and retirement.
• Select the best fit models and AI technologies for a given use case, balancing cost, quality, and scale tradeoffs.
• Establish AIOps and LLMOps practices, including observability and telemetry, hallucination detection, continuous evaluation and benchmarking of models and agents.
• Own AI infrastructure and model consumption costs, establishing unit economics and ROI measurement for AI features and driving FinOps discipline across the AI platform.
• Set standards for API design and integration patterns that support AI feature delivery across MRI's platforms.
• Own the knowledge architecture underlying AI systems, including semantic layers, metadata and context management, data governance for AI, and knowledge graph design.
• Partner with data engineering and platform teams to ensure the data foundation supports AI initiatives at scale.
• Evaluate and pilot emerging AI technologies, translating industry trends into practical initiatives for MRI.
• Establish governance and responsible AI practices for model usage, data handling, and agent behavior, including AI and agent security, threat modeling, prompt injection defense, data leakage prevention, and identity and authorization patterns for agents.

Qualifications

• 10 or more years of engineering leadership experience, including hiring, org design, and developing engineering talent while scaling multi team organizations.
• Deep hands on experience architecting and delivering AI and ML systems, including LLM based applications, RAG architectures, and agentic AI patterns.
• Advanced Python skills, with the ability to engage directly in architecture review and hands on technical problem solving.
• Experience with Model Context Protocol or comparable interoperability and integration frameworks for AI systems.
• Strong background in API design, microservices, and modern cloud native architectures such as Azure, AWS, or GCP.
• Experience improving engineering delivery velocity through tooling, process, and AI assisted development practices.
• Working familiarity with product lifecycle management practices and the ability to partner effectively with product management without owning the product roadmap directly.
• Strong understanding of data pipelines, data platforms, and the data foundations required for AI at scale.
• Solid grounding in data science concepts and principles, including statistical reasoning, model evaluation, and data quality practices.
• Experience establishing AI governance, model risk management, and responsible AI practices.
• Strong technical judgment on high scalability, high performance system design.
• Proven ability to operate and influence at the executive level across Engineering, Product, and business stakeholders.
• Experience owning infrastructure and vendor cost accountability, including cost monitoring, unit economics, and ROI measurement for technology investments.
• Experience establishing security practices for AI and agentic systems, including threat modeling and identity and access patterns for automated systems.

Preferred Experience

• Background leading AI engineering in a SaaS or enterprise software environment.
• Experience leading globally distributed engineering teams across multiple regions.
• A track record of leading engineering organizations through significant technical or organizational transformation.
• Comfortable running vendor evaluations and build versus buy assessments for AI platforms and tooling.
• Has integrated AI capabilities into acquired products or teams following an acquisition.

Benefits

• Hybrid working arrangements
• 6x Flexi Holidays: knock 2.5 hours off your day on any day.
• Medical insurance coverage for extended family members.
• Engaging, fun & inclusive culture: check out the MRI Software APAC Insta feed and stories!
• Enjoy peace of mind with regional-specific healthcare benefits for you and your family.
• Big on family: parental leave and parental support perks allow you to grow your family comfortably as an MRI employee.
• Maintain a fantastic work-life balance with PTO days plus observed holidays.
• Further your professional development and growth with tuition reimbursement offerings.
• Enjoy the flexibility of working from anywhere in the world for two weeks out of the year.
• Join employee-led resource groups to maximize your experience at work.
• Add 16 extra hours to your time off to shorten your workday as part of the Flex at MRI program.
• Utilize 16 hours of paid time to volunteer.
• Know great workers? Our generous employee referral scheme rewards you for bringing in talent.

About Us

From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you! Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people. We believe MRI is more than just a workplace; it’s a connected community of people who truly feel they belong. Whether we’re investing in employee resource groups or providing tailored resources for each person to reach their full potential, we’re passionate about creating a work environment that makes you excited to show up every single day.

At MRI, one of our core values is to strive to amaze. From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients.

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success.

We know confidence gap and imposter syndrome can get in the way of meeting remarkable candidates, so please don’t hesitate to apply. We’d love to hear from you!

Also, enjoy the flexibility of working from anywhere in the world for two weeks out of the year. And more!

Now, take a glimpse into some of the fun we have here: MRI Software Instagram