Solution Engineer - Generative AI

What This Role Requires :

In the role of Solution Engineer, you will be a key contributor to Results mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities.

Here is what you will do :

Roles and responsibilities :

- Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices.

- Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues.

- Develops application design and documentation for leadership teams.

- Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches.

- Manages daily operations of the team, ensuring on-time delivery of milestones.

- Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units.

- Fosters collaboration with internal and external stakeholders, including software vendors and data providers.

- Works independently with minimal supervision, capable of making recommendations.

- Demonstrate a solid ability to tell a story with simplistic views of complex datasets.

- Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance.

- Will be an integral part of developing best-in-class solution for the GAV organization.

- Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools.

- Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs.

- Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value.

Must - have Qualifications :

- Bachelors degree in computer science, Software Engineering, or engineering related area.

- 5+ years of relevant experience emphasizing data modelling, development, or systems engineering.

- 1+ years with a data visualization tool (e.g. Tableau, Power BI).

- 2+ Years of experience in any number of the following tools, languages, and databases : (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake).

- Demonstrated capabilities in integrating and analysing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns.

- Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority.

- Proven experience and demonstrated skills with AWS services, Tableau, Airflow, Python and Dataiku.

- Must be experienced in DevSecOps tools JIRA, GitHub.

- Experience in Database design tools.

- Deep knowledge of Agile methodologies and SDLC processes.

- Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization.

- Strong analytical, critical thinking, and troubleshooting skills.

- Ambition to learn and utilize emerging technologies while working in a stimulating team environment.

Nice-to-Have :

- Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline.

- Knowledge with GenAI and LLMs framework (OpenAI, AWS).

- US Market Access functional knowledge and data literacy.

- Statistical analysis to understand and improve possible limitations in models.

- Experience in AI/ML frameworks. Pytest and CI/CD tools.

- Experience in UI/UX design.

- Experience in solution architecture & product engineering