Director, Data Science

Majesco

67d • $165,000 - $180,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees