Senior Development Engineer (AI/ML Engineer Expertise) at North Risk Partners, LLC

Plymouth, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

180000.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML Development, Cloud Technologies, Data Modeling, Data Governance, Model Deployment, NLP, LLMs, Computer Vision, Data Ingestion, APIs, Microservices, Risk Management, Leadership, Communication, Ethics Awareness

Industry

Insurance

Description

Description WHY NORTH RISK PARTNERS Are you interested in doing work that matters everyday with an organization intentional about building and living out a values-driven team culture? North Risk Partners is a fast-growing firm dedicated to serving the insurance and risk management needs of businesses and individuals. We provide expertise in Commercial Lines, Employee & Individual Benefits, Personal Lines, Surety, Claims, and Risk Management. Our team consists of over 450 employees working in over 30 locations across five states, including Minnesota, Iowa, North Dakota, South Dakota, and Nebraska. At North Risk Partners, our #oneTEAM lives out #oneMISSION: to provide extraordinary #service to our clients, to each other, and to our communities while living out our core values each day. Our team environments are designed to provide #oneTEAM members opportunity to focus on collaborative relationships (clients and team), variety from day-to-day, constant learning, and the tools and resources to learn and grow at work and in life. JOB SUMMARY This highly skilled Senior Development Engineer will design, build, and optimize systems that power analytics, AI Agentic workflows and business intelligence solutions. This role combines development expertise in enterprise systems, AI/ML development, and cloud technologies with hands-on experience in AI and machine learning workflows. In this role, you’ll design and deliver AI solutions that drive measurable business impact, set technical direction for AI initiatives, and influence cross-functional stakeholders. You will be at the intersection of engineering, product, and operations - connecting our strategic roadmap to outcomes. ESSENTIAL RESPONSIBILITES Design, develop, and maintain systems to support analytics, AI, and operational workflows Leverage best practices for AI/ML data modeling, storage, and retrieval across structured and unstructured data sources Optimize data workflows for AI/ML model training, inference, and deployment Collaborate with data engineers, developers, and business stakeholders to ensure scalable system availability and quality for AI initiatives. Develop best practices in use of data infrastructure in cloud environments (e.g., AWS, Azure, GCP) Ensure compliance with data governance, security, and privacy standards Troubleshoot and resolve systems and AI pipeline issues promptly Support our AI strategy and roadmap aligned to business objectives and value creation Architect scalable, secure AI systems (ML pipelines, model serving, data ingestion, monitoring) leveraging cloud-native services Conduct build vs. buy assessments, vendor evaluations, and cost–benefit analyses for AI tooling and platforms Establish model governance, risk controls, and ethical AI guidelines (bias monitoring, lineage, explain-ability, and human-in-the-loop) Hands-on Development Design, train, and deploy models (e.g., NLP, LLMs/RAG, computer vision, time-series forecasting, recommendation systems) Optimize models for performance, latency, cost, and reliability, including prompt engineering and fine-tuning for LLMs Integrate models into product and workflow experiences via APIs/microservices, event-driven architectures, and secure data pipelines Leadership & Enablement Partner across Product, Security, Legal, and HR to align delivery with compliance and change management Communicate complex technical topics to executive and non-technical audiences; influence decisions with clarity and data Develop guardrails, templates, and playbooks that accelerate safe, responsible AI use across the organization Operational Excellence Define KPIs & success metrics (e.g., model accuracy, adoption, cycle time, business impact, risk/incident rate) Oversee observability: data drift, model decay, cost tracking, usage analytics, and incident response processes Manage budgets, vendor relationships, and licensing for AI platforms and tools Requirements QUALIFICATIONS (Knowledge, Skills, & Abilities) 7+ years in development engineering with 2-4 years focused on AI/ML productization Expert in Python and core ML/AI libraries (ex. PyTorch, TensorFlow) Deep experience with LLMs (fine-tuning, prompt engineering, RAG, vector databases such as FAISS/pgvector/Pinecone) Cloud proficiency: Azure (preferred), AWS, or GCP—covering model deployment, security, and cost optimization Proven leadership: leading teams/projects, mentoring, and influencing executive stakeholders Solid grasp of AI governance: responsible AI, security, privacy, compliance, and risk management Experience integrating AI into enterprise platforms (e.g., Microsoft 365, Dynamics, Power Platform, Azure OpenAI) is preferred Prior success delivering AI features at scale in production environments is preferred Strategic Thinking: Connects technology choices to business outcomes; crafts clear roadmaps Technical Depth: You can both design and implement robust AI systems—end-to-end Leadership & Coaching: Grows talent; creates clarity; builds trust; raises the bar Influence & Communication: Tailors messaging to executives and engineers; drives alignment Bias & Ethics Awareness: Proactive about responsible AI, data stewardship, and user trust Ownership & Delivery: Moves from idea to impact; manages risks; meets commitments Languages: Python, JavaScript, C# ML/AI: PyTorch, TensorFlow Data: Azure Data Lake/Databricks, SQL, Spark; vector DBs (FAISS, pgvector, Pinecone) Cloud: Azure (Functions, AKS, App Service, Key Vault, Cosmos/SQL DB), Azure OpenAI BEHAVIOR EXPECTATIONS A role model for North Risk Partners’ core values, mission, and desired culture Demonstrate enthusiasm and a positive attitude Professionally and positively represent North Risk Partners to all coworkers, clients, and external stakeholders A team player who collaborates and works well with his/her coworkers A professional who demonstrates the ability to carry on a conversation with clients, Risk Advisors, and other coworkers within North Risk Partners PHYSICAL REQUIREMENTS Perform under normal office conditions; may include lifting/carrying objects weighing up to 25 pounds Twist, bend, stoop, kneel, squat, stand, walk, and reach frequently Hear, speak, and effectively verbally communicate in the English language, including following oral and written instructions to communicate with people inside and outside of the organization Sit and a desk for extended periods of time and perform long hours of work sitting at a computer Move around office/building/facilities repeatedly throughout the day Apply manual dexterity, visual acuity and ability, for computer keyboarding, office equipment uses, review of detailed reports, information, fine print, and warning labels Must possess valid driver’s license and be able to travel to different North Risk Partners locations for meetings, as well as various locations throughout the state and potentially the region for client meetings Able to work a flexible work schedule, including overtime and potential evenings/weekends for events and meetings as needed TOOLS AND EQUIPMENT USED Incumbents must be able to use telephones, calculators, copy machines, computers, printers, and other office equipment WORK ENVIRONMENT The work environment is primarily indoors. Exposure to a variety of weather conditions during work related travel and events held outside of the workplace will occur and I acknowledge that I have read, understood, and agree with the contents of this position description. I agree to use my best efforts to fulfill all expectations of the position. I also acknowledge that I am an at-will employee. This job description does not necessarily list all the job functions or accountabilities of the job. Employees may be asked by management to perform additional duties and tasks. Management reserves the right to revise and update job descriptions at any time. COMPENSATION AND BENEFITS The estimated base salary range for this full-time position is $140,000 - $180,000 annually, plus benefits. The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range represents the company’s good faith and reasonable estimate of the range of possible compensation at the time of posting. We offer a comprehensive benefits package, including health, dental, vision, short-term and long-term disability, life, long-term care, 401(k) plan, and more. North Risk Partners is growing which means your career can too. #oneTEAM members receive continuing professional education and development, volunteer time off, paid time off, paid holidays, and hybrid work opportunities.

Responsibilities

The Senior Development Engineer will design, build, and optimize systems for analytics and AI workflows. This role involves collaborating with various stakeholders to ensure scalable system availability and quality for AI initiatives.