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Solutions Engineer, Data Analytics

Boehringer Ingelheim

Saint Joseph, MOFull-timeSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Saint Joseph, MO
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

As an employee of Boehringer Ingelheim, the Solutions Engineer, Data Analytics will design, develop, and operationalize AI/ML solutions, build and maintain data pipelines, and integrate AI capabilities with enterprise systems, collaborating with cross‑functional teams to ensure reliable, scalable, production‑ready implementations.

Skills & qualifications

RequiredNice to have

Skills

C#/.NETPythonSQL ServerData PipelinesAPIsLLMsEmbeddingsRetrieval‑Based ArchitecturesData ModelingProblem‑SolvingSystem DesignCommunication

Qualifications

Bachelor's Degree in Computer Science Data Analytics or Related FieldOne Year Relevant Industry ExperienceMust Be 18+

Full job description

Description

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 an opportunity for all employees to collaborate internationally, offering visibility and the opportunity to directly contribute to the company's success. We realize that our strength and competitive advantage lie with our people. We support our employees in several 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.

The Solutions Engineer, Data Analytics is responsible for designing, developing, and operationalization of AI/ML solutions that enable advanced data-driven decision-making across the organization. This role combines strong Python and C#/.NET software engineering with data pipeline development to integrate AI capabilities into enterprise systems, manufacturing data platforms, and analytics environments. The position will be responsible for delivering and supporting AI-enabled solutions that integrate with enterprise data platforms and manufacturing systems. The role operates with a moderate degree of autonomy and collaborates closely with Data Engineering, Solutions Engineering, and business stakeholders to ensure scalable, reliable, and production-ready implementations.

The Solutions Engineer, Data Analytics will be expected to support both development and ongoing optimization of AI services and data pipelines that enable advanced analytics and operational insights. This role will establish proficiency in Data Warehousing & technical program data management that enable advanced analytics. As directed, the incumbent contributes to global efforts by supporting, developing, and maintaining tools, software, and AI solutions key to enabling statistical modeling, visualization, reporting, and interpretation of results.

Duties & Responsibilities

  • Design, develop, and implement AI/ML and LLM-based solutions to support business and operational use cases.

  • Develop, maintain, and optimize C#/.NET services, APIs, and application components that operationalize AI capabilities.

  • Build, administer, and enhance data pipelines to support model training, feature engineering, and real-time or batch inference workloads.

  • Integrate AI solutions with SQL Server, enterprise data warehouses, and industrial data platforms (e.g., AVEVA PI, ISA-88 event frameworks).

  • Administer, monitor, and optimize performance of deployed AI models and supporting services to ensure reliability and scalability.

  • Collaborate with cross-functional teams to ensure proper data availability, quality, and alignment with business requirements.

  • Develop and deploy AI/ML and LLM-based solutions.

  • Build and maintain robust data pipelines for AI use cases.

  • Develop C#/.NET services, APIs, and integrations for AI solutions.

  • Integrate AI with SQL Server, data warehouses, and industrial systems (e.g., PI).

  • Ensure data governance, security, and compliance.

Requirements

  • Bachelor's degree in computer science, data analytics or related field required with a minimum of one (1) year relevant industry experience in applied computer science.

  • Experience inclusive of:

  • Programming: Strong proficiency in C#/.NET and Python and/or

  • Experience building production-grade APIs and backend services in C# and/or

  • Experience designing and maintaining data pipelines and/or

  • Strong SQL skills with experience in SQL Server and data modeling and/or

  • Experience integrating systems via APIs and messaging patterns and/or

  • Knowledge of LLMs, embeddings, and retrieval-based architectures (RAG)

  • Strong problem-solving, system design, and communication skills

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.

JOB ID

37276

Job function

Engineering

Career level

Experienced professionals

Organization

Boehringer Ingelheim Animal Health USA

Working time

Full-Time

Job flexibility

On-Site

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law

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