Director of Engineering, AI and 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

Location: United States (Remote, Eastern Time core hours, Occasional off-hours collaboration with global teams)

About the Role

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. Reports to: VP, Product Management

What You’ll Do

• 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.

What You’ll Bring

Minimum Qualifications

• 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.

Preferred Qualifications

• 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).

How You’ll Work

• Operate in an agile, iterative environment with weekly standups, demos, and outcome-based roadmaps.
• Lead by example—every team member, including leadership, codes, reviews, and owns quality.
• Bias toward shipping: rapidly prototype, measure, and refine to deliver high-impact results.
• Foster a culture of learning, technical rigor, and data-driven decision-making.

Why Majesco

Join Majesco to shape the future of insurance through applied AI. You’ll work at the intersection of machine learning, cloud engineering, and enterprise software, helping insurers modernize their products and customer experiences.

We’re a product-led organization built on craftsmanship, transparency, and velocity. Here, you’ll have the autonomy to experiment, the platform to make an impact, and the peers to challenge and inspire you.

As part of a global, high-growth company, this role offers continuous opportunities to learn, lead, and evolve as AI transforms the industry.

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.