Associate Director Solution Architect - AI

Description

We are seeking a highly skilled and visionary Al Architect to join our Omnichannel and Unified Commerce team. This pivotal role will lead the transformation of our technology strategy by leveraging cutting-edge Al technologies, with a focus on Al, Next Best Action, and Automation. The ideal candidate will have a deep understanding of these technologies and architectures, with a proven track record of designing and deploying Al-driven solutions that enhance business outcomes, optimize customer experiences, and drive operational efficiency.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

This role is based in our Ridgefield, CT office. 

Compensation Data

This position offers a base salary typically between $140,000 and $269,000.  The position may be eligible for a role specific variable or performance based bonus and or other compensation elements.  For an overview of our benefits please click here. 

Duties & Responsibilities

• Al Strategy & Architecture:
  -    Partner with our commercial teams to lead the design and implementation of Al solutions that align with the company's business goals and technology strategy.
  -    Develop end-to-end Al architectures for key use cases, including but not limited to generative Al, next best action, predictive analytics, and process automation.
  -    Design scalable, secure, and highly available Al systems that integrate seamlessly into the omnichannel ecosystem.
  -    Ensure Al systems are built with a focus on quality, innovation, and sustainability.
  Generative Al & Advanced Analytics:
  -    Architect and implement generative Al systems that enhance content creation, personalization, and customer engagement across multiple channels.
  -    Utilize advanced machine learning techniques to predict and recommend the "next best action" for customers, ensuring a seamless and proactive experience.
  -    Lead the exploration and application of novel Al algorithms and tools to continuously advance the organization's capabilities.
  Automation & Optimization:
  -    Develop automation strategies that reduce operational complexity, increase efficiency, and enhance decision­ making across systems.
  -    Leverage Al to automate manual tasks, optimize workflows, and continuously improve operational processes.
  -    Build intelligent automation solutions to drive self-service capabilities, improving customer satisfaction and reducing time to resolution.
  Leadership & Collaboration:
  -    Collaborate with cross-functional teams (Product, Engineering, Data Science, Marketing, Operations) to ensure Al solutions meet business objectives and are aligned with user needs.
  -    Guide and mentor junior engineers and data scientists to foster a culture of innovation and continuous learning.
  -    Be a thought leader in Al, keeping abreast of new trends and technologies, and ensuring the team's capabilities remain on the cutting edge.
  -    Engage with key stakeholders, including IT and business leaders, to communicate the value and impact of Al initiatives, ensuring alignment with strategic objectives.
  -    Provide thought leadership and insights on Al trends and best practices, helping to shape the organization's vision and strategy for Al adoption.
  Performance & Metrics:
  -    Define KPls to measure the performance of Al initiatives and ensure alignment with business outcomes.
  -    Monitor and report on the performance of Al models, continuously optimizing and refining models for greater accuracy, speed, and impact.
  Security & Compliance:
  -    Ensure Al systems adhere to security standards, privacy regulations, and industry best practices.
  -    Stay informed on compliance requirements for Al and data usage, ensuring all projects meet legal and ethical standards.
  Innovation & Research:
  -    Drive innovation by staying up to date and researching emerging Al technologies and methodologies, evaluating their potential impact on the business, and integrating them into the technology roadmap.
  -    Foster a culture of experimentation and continuous improvement, encouraging the team to explore new ideas and approaches to solve complex problems.

Requirements

• Generative AI experience. Preferred within Healthcare, Finance or Retail industries.
• Experience in delivering within a global organization.
• Good working knowledge of standard M&S domain solutions such as Veeva, Salesforce.com, ideally with experience of M&S business processes of different areas.
• Experience in model development and fine tuning models: Large  language models (LLMs) and other generative models using frameworks like TensorFlow, PyTorch
• Proven track record on implementing solid integration architecture
• Proven track record in enterprise architecture in design and execution of AI architecture and technology solutions.
• Good and strong knowledge of Platform/ Cloud concepts.
• Exhibits a sense of urgency and independent initiative toward accomplishing objectives.
• Team player - position is cross-functional and requires significant teamwork.
• Must be a strong strategic thinker and motivator and understands what delivers true value to the business.
• Strong customer focus in creating innovative approaches

AD IT Architect

• Bachelors or Master’s degree in IT from an accredited institution required; Advanced degree in technical field preferred.
• Seven-plus (7+) years of progressive IT experience required.

Sr AD IT Architect

• Bachelor’s degree from an accredited institution in a relevant field.
• In lieue of a degree, twelve (12) years of relevant industry experience
• Extensive experience (8+ years) in the IT domain with specific experience with ERP, CRM, IT infrastructure design and associated operational processes (strongly preferred).

Eligibility Requirements:
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post-offer physical (if required) 
Must be 18 years of age or older