Director of Engineering, AI and Data Science

Majesco

2h•$165,000 - $180,000•Remote

About The Position

The Director of Engineering, AI and Data Science will lead a high-impact team of data scientists and ML engineers delivering production-grade AI and machine learning solutions for Majesco’s insurance platforms. This leader is a hands-on engineering practitioner and in-house expert on large language models (LLMs), responsible for moving rapidly from concept to deployed capability while upholding the highest standards for code quality, scalability, reliability, and security. You’ll shape how Majesco applies Generative AI, retrieval-augmented generation (RAG), and Azure OpenAI across underwriting, claims, and analytics workflows—transforming how insurers operate.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field (advanced degree preferred).
8+ years of experience in software engineering or applied machine learning, including leadership of senior technical teams.
Proven success deploying LLMs and generative AI applications in production (prompt engineering, fine-tuning, safety/guardrails).
Deep, hands-on experience with Microsoft Azure for AI, especially Azure OpenAI and related services.
Strong software engineering fundamentals: Python, PyTorch, CUDA, Git, CI/CD, test automation, and secure software architecture.
Demonstrated leadership excellence—coaching high-performing engineers, managing complexity, and fostering accountability.
Exceptional communication skills; able to distill complex AI topics into clear, actionable insights for diverse audiences.

Nice To Haves

Experience with RAG pipelines, vector databases, embeddings optimization, and evaluation of retrieval quality.
Strong MLOps expertise on Azure (model registry, pipelines, governance, and monitoring).
Familiarity with IaC (Terraform, Azure Bicep), AKS, and Azure DevOps for reliable AI deployment.
Cross-cloud knowledge (AWS) and pragmatic cloud vendor selection experience.
Domain experience in Insurtech or regulated industries (underwriting, billing, claims, or compliance automation).

Responsibilities

Lead, mentor, and expand a high-performing AI and ML engineering team delivering measurable business value.
Own end-to-end LLM solution delivery—from problem framing and data preparation to fine-tuning, safety guardrails, evaluation, deployment, and monitoring.
Serve as Majesco’s subject-matter expert in Microsoft Azure AI, guiding pragmatic choices across Azure OpenAI, Azure ML, Cognitive Search, AKS, Cosmos DB, and Key Vault.
Architect and operationalize RAG pipelines, AI agents, and workflow automation frameworks to enhance customer experience and operational efficiency.
Uphold strong engineering excellence—Python 3, PyTorch, CUDA, CI/CD, observability, testing, and secure release management.
Drive fast-paced experimentation to evaluate prompts, models, and architectures; champion trustworthy offline and online evaluation.
Partner cross-functionally with Product, Design, and GTM teams to convert complex insurance problems into intuitive AI-driven solutions.
Ensure system reliability, scalability, and uptime across environments using DevOps best practices and Infrastructure as Code (Terraform or Azure Bicep).
Promote AI security, compliance, and data governance across all deployments—covering PII, access control, and auditability.
Optimize cloud costs through data-driven architecture decisions and continuous performance tuning.
Communicate clear roadmaps, KPIs, and risk assessments to stakeholders; pivot effectively as new priorities arise.
Stay at the forefront of LLM, NLU, computer vision, and agentic AI innovations, applying emerging techniques with pragmatic rigor.