Director, Data Science

Majesco isn't just riding the AI wave - we're leading it for the P&C and L&AH insurance industry. Born in the cloud and built with an AI-native vision, we've reimagined the insurance core as a platform that lets insurers 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, and digital solutions so our customers 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 outcomes.

In a world where change is constant, our native-cloud SaaS platform empowers insurers the agility to adapt to market and risk shifts quickly, reshape their operational cost structure, accelerate innovation readiness, and rethink how insurance can be done with the intelligence to stay ahead. With 1000+ implementations, we are the AI insurance leader that over 350 insurers, reinsurers, MGAs rely on to rethink how insurance can be done in today's modern era of insurance. Break free from the past and build the future of insurance.

Director of Engineering, AI and Data Science

About the role

The Director of Engineering, AI and Data Science will lead a high-impact team of 4 data scientists and ML engineers delivering production-grade AI for Majesco insurance platforms. This leader is a hands-on practitioner and the in-house expert on the deeper, more complex aspects of LLMs, responsible for moving rapidly from idea to shipped capability while upholding high standards for code quality, reliability, and security. Reports to the VP, Product Management.

Location

US-based, Eastern Time core hours. Occasional off-hours meetings to collaborate across Majesco's global teams and customer base.

What you'll do

• Lead, mentor, and grow a small, senior team of 4 to deliver AI features and services with measurable business outcomes.
• Own end-to-end solution delivery for LLM use cases: problem framing, prompt engineering, fine-tuning, evaluation, safety/guardrails, deployment, monitoring, and continuous improvement.
• Serve as the organization's hands-on expert in Microsoft Azure AI-especially Azure OpenAI-and guide pragmatic choices across Azure services (e.g., Azure ML, Cognitive Search, AKS, Azure DevOps, Cosmos DB, Key Vault) to ship scalable, secure solutions.
• Drive LLM application patterns including retrieval-augmented generation (RAG), tools/functions, and agentic frameworks for workflow automation and reasoning.
• Maintain a high bar for engineering execution: Python 3, PyTorch, CUDA, Git, test automation, CI/CD, observability, and robust rollback/recovery practices.
• Run iterative experimentation at pace: compare model architectures, prompts, tuning strategies, and evaluation methodologies; champion offline and online evaluation you can trust.
• Partner closely with Product, Design, and GTM to translate insurance business needs into clear ML problem statements and delightful user experiences.
• Architect and evolve services for uptime, latency, and reliability on GNU/Linux and Windows, with strong observability and incident response across environments.
• Champion security, privacy, and data governance in everything the team ships (PII handling, access controls, secrets management, auditability).
• Co-own cloud cost stewardship: instrument cost drivers, benchmark alternatives, and implement right-sized, cost-aware architectures.
• Guide team-run infrastructure with DevOps best practices; encourage Infrastructure as Code using Terraform and/or Azure Bicep; strengthen release hygiene and environment parity.
• Communicate crisply with stakeholders: roadmaps, KPIs, risk/mitigation, and customer outcomes; be ready to pivot priorities when new opportunities emerge.
• Stay current on advances in NLU, computer vision, information retrieval, RAG, and agentic frameworks; bring informed recommendations to a curious, technical leadership team.

What you'll bring (minimum qualifications)

• Bachelor's degree in a technical field (e.g., Computer Science, Engineering, Mathematics) or equivalent practical experience.
• 8+ years in software product development with proven team leadership responsibilities.
• Demonstrated success implementing LLMs in production, including prompt engineering, fine-tuning, evaluation, and safety/guardrails.
• Deep, hands-on expertise with Microsoft Azure for AI, with strong experience in Azure OpenAI.
• Strong engineering fundamentals: Python 3, PyTorch, CUDA, Git, software architecture, design patterns, testing, CI/CD.
• Meaningful people-management experience leading small, senior teams with high standards, coaching, and 1:1s.
• Excellent written and verbal communication skills; able to engage technical and non-technical stakeholders and translate complex topics into clear business value.

Preferred experience

• Production LLM application patterns (tools/functions, multi-turn planning, agents) and robust evaluation frameworks.
• Retrieval and indexing at scale (vector databases, hybrid search, embeddings optimization, evaluation of retrieval quality).
• Cloud MLOps on Azure (Azure ML, model registry, pipelines, feature/data management, governance).
• IaC with Terraform and/or Azure Bicep; AKS; Azure DevOps; observability stacks.
• Cross-cloud familiarity (AWS) and pragmatic vendor selection.
• Insurtech domain experience translating underwriting, billing, claims, and analytics requirements into applied AI.

How you'll work

• Agile delivery with weekly standups, frequent demos, and clear, outcome-oriented roadmaps.
• Hands-on leadership where everyone codes, reviews, and owns quality, reliability, and security.
• Bias for shipping: iterate quickly from prototype to production with measurable impact and tight feedback loops.

Why Majesco

• Build industry-defining AI capabilities for the insurance sector where automation, accuracy, and compliance matter.
• Join a product-led culture that values velocity, craftsmanship, transparency, and customer outcomes.
• As a member of a rapidly growing and dynamic organization, the successful candidate must be flexible and willing to take on new tasks and responsibilities as business needs evolve. The company reserves the right to vary, change, or update job duties and responsibilities based on business requirements. This role may require shifting priorities, learning new technologies, and contributing to projects outside of the initial scope.

What Majesco Offers:

Majesco is committed to equal pay and transparency. The annual base salary range for this position is $165,000 to $180,000. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Majesco considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as market and business considerations when making compensation decisions.

At Majesco, we offer a comprehensive employee benefits package with most coverage starting Day One. Our benefits package includes, but is not limited to: Medical, dental & vision insurance; employer-funded HSA coordinating with a high-deductible health plan; FSA, short-term/long-term disability; Life/AD&D insurance; 401(k), flexible time off, paid sick days and 11 paid holidays; paid parental/bonding leave; career anniversary leave and other voluntary benefits.