Embedded Machine Learning Engineer Jobs in Blairstown, NJ

MSIG USA continues to grow!

Company Overview:

MSIG USA is the US-based subsidiary ofMS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.

Position Overview

We are seeking a seasonedEnterprise Data & AI Architectat the Lead/Principal level to serve as the technical authority and strategic design leader for MSIG USA's enterprise data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization.

You will be responsible for defining theoverarching architectureacross our data platforms, AI/ML systems, data governance frameworks, and integration patterns - ensuring they are cohesive, scalable, secure, and aligned with our P&C insurance business strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the CDAO, technology leadership, and business domain leaders across Underwriting, Claims, Actuarial, Finance, and Reinsurance.

This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.

Key Responsibilities

Enterprise Architecture Strategy & Vision

• Define and own theenterprise data and AI architecture blueprintfor MSIG USA, covering data ingestion, storage, transformation, serving, governance, and AI/ML deployment.
• Establish thetarget state architectureacross cloud platforms, data products, AI systems, and integration patterns - with a clear, pragmatic roadmap from current to future state.
• Leadarchitecture governance- chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI/ML, and analytics teams.
• Translate MSIG USA's business strategy and regulatory obligations intoconcrete, actionable architectural decisionswith well-documented tradeoffs.
• Serve as the primarytechnical liaisonbetween the CDAO, IT leadership, and enterprise architecture functions across MS&AD Insurance Group.

Data Platform Architecture

• Architect and evolve MSIG USA'shybrid data platformbuilt onMicrosoft Fabric, Databricks, and Azure Data Lake (OneLake)- ensuring the platform supports batch, streaming, and real-time data workloads across all insurance domains.
• Design theMedallion (Bronze/Silver/Gold) architectureand enforce lakehouse best practices including Delta Lake, Unity Catalog, and data product publishing patterns aligned toData Meshprinciples.
• Definedata modeling standardsacross entity types - Policy, Customer/Party, Claims, Exposure, Premium, Loss, and Reinsurance - ensuring consistency across the enterprise.
• Oversee the architecture of theMaster Data Management (MDM) platform(Profisee) and its integration with upstream policy systems, downstream analytics, and the data lakehouse.
• Design enterprisedata integration patterns- API-first, event-driven, and ETL/ELT architectures - connecting policy administration systems, claims platforms, financial systems, and external data providers to the central data platform.
• Ensure platform architecture meetshigh availability, disaster recovery, scalability, and cost efficiencyrequirements for a regulated insurance environment.

AI & Machine Learning Architecture

• Define theenterprise AI/ML architecture- spanning model development, training, deployment, monitoring, and governance - built onDatabricks Mosaic AI, Azure Machine Learning, and Azure OpenAI.
• Architect theMLOps platformincluding CI/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving.
• DesignGenerative AI and LLM architectures- including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails - for insurance use cases across underwriting, claims, and actuarial functions.
• EstablishAI governance and model risk management frameworksensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations.
• Evaluate and recommendfoundational models, AI platforms, and emerging technologies- maintaining an architectural view of the evolving AI landscape and its applicability to P&C insurance.

Data Governance & Security Architecture

• Design the enterprisedata governance architecturein partnership with the Data Governance function - covering data cataloging, lineage, classification, quality, and stewardship workflows usingMicrosoft Purview.
• Definedata access control and security architecture- including role-based access control (RBAC), column/row-level security, data masking, and encryption standards across all platform layers.
• Ensure architecture adherence toregulatory and compliance requirementsincluding NAIC, SOC 2, CCPA, and GDPR as applicable to insurance data.
• Architectdata lineage and audit trailsto support actuarial certification, financial audit readiness, and regulatory examination requirements.

Engineering Standards, Patterns & Enablement

• Define and maintain theenterprise data and AI engineering standards- including coding standards, design patterns, testing frameworks, CI/CD practices, and documentation requirements.
• Create and curate areference architecture libraryof reusable patterns for ingestion, transformation, serving, AI deployment, and integration - reducing duplication and accelerating delivery across domain teams.
• Conductarchitecture reviews and design critiquesfor major initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.
• Mentor and coach senior data engineers, ML engineers, and domain architects - elevating the overall technical quality and architectural thinking across the team.
• Stay current with theevolving data and AI technology landscapeand bring forward well-reasoned recommendations for platform evolution.

Cross-Functional Leadership & Stakeholder Engagement

• Partner withUnderwriting, Claims, Actuarial, Finance, and Reinsurancebusiness leaders to understand domain data needs and translate them into durable architectural solutions.
• Collaborate withIT, Enterprise Architecture, Information Security, and Vendor Managementto ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy.
• Represent data and AI architecture invendor evaluations, RFPs, and technology due diligence- providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.
• Produce executive-readyarchitecture documentation, roadmaps, and position papersfor CDAO and senior leadership consumption.

Required Qualifications

Education

• Bachelor's degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree strongly preferred.

Experience

• 8-12 yearsof progressive experience in data architecture, data engineering, or enterprise architecture roles - with at least5 years in a senior or lead architect capacity.
• Demonstrated experience designing and deliveringenterprise-scale data platformsin cloud environments, with a strong preference forMicrosoft Azure and Databricks.
• Proven track record of architectingproduction AI/ML systemsincluding MLOps pipelines, LLM-powered applications, and agentic frameworks.
• Significant experience infinancial services, insurance, or similarly regulated industries- P&C insurance domain experience strongly preferred.
• Experience working directly with C-suite and senior business leaders as a technical advisor and architecture authority.

SALARY: The estimated salary range for this position is $180,000.00 - $230,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
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It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!

It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.