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FLEXIBLE ARCHITECTURE & SIMPLIFIED TECH INC

Director - Customer Engineering

Career Insights for Generative Artificial Intelligence Engineer

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$127,942 / year median in New Jersey

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Job Description

Director
  • Customer Engineering at
FLEXIBLE ARCHITECTURE & SIMPLIFIED TECH INC
Director
  • Customer Engineering at
FLEXIBLE ARCHITECTURE & SIMPLIFIED TECH INC
in Holmdel, New Jersey Posted in 11 days ago.
Type:
Full-Time Job Description:
We are seeking a Director, Customer Engineering to lead AI strategy, customer delivery, and engineering excellence across Customer Engineering. This role combines leadership of AI-driven customer engagements with leadership across US and global engineering teams. Lead AI adoption and customer AI engagements that deliver measurable business value. Serve as the technical lead for customer AI engagements, providing architecture and delivery guidance. Identify customer AI use cases that improve engineering productivity and operational efficiency. Act as the final US escalation point for major customer issues and production outages. Lead incident response, coordinate cross-functional teams, and drive timely resolution of critical issues. Mentor Delivery Leads and engineering teams on AI technologies and engineering best practices. Establish engineering standards, best practices, and delivery governance across Customer Engineering. Build trusted relationships with customers and executive stakeholders while ensuring delivery excellence. 10+ years of software engineering, Cloud, or DevOps experience with at least 5 years in leadership roles. Experience leading enterprise AI, Cloud, or digital transformation initiatives. Strong knowledge of Generative AI, Agentic AI, LLMs, RAG, and AI orchestration frameworks. Experience leading customer engagements, incident management, and engineering governance. Experience with AWS, modern cloud-native architectures, CI/CD and Kubernetes. Proven ability to mentor technical leaders and drive engineering excellence. Preferred Skills and Qualifications Master's degree in computer science, Engineering, or a related field. Experience in insurance, financial services, or SaaS organizations. AWS and AI/ML certifications. Experience leading globally distributed engineering teams. #LI-EA1 About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses
  • provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
  • supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
  • offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
  • provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
  • provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
  • delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
  • offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
  • provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.