Sr. Forward Deployed Engineer (FDE)

About the role

In this role, you will concentrate on the Healthcare and Life Sciences domain, where your primary responsibility will be to design and implement production-ready data and AI systems tailored for enterprise clients. As a technical leader, you will take charge of architectural decisions and execute comprehensive solutions, working closely with internal product and engineering teams to ensure successful outcomes. You will own the full delivery of high-quality data and AI initiatives, acting as the primary technical authority for complex solutions in production environments. This position requires you to translate business needs into scalable technical designs while ensuring all implementations meet stringent security and compliance standards. You will be responsible for driving technical strategy and ensuring that all solutions are robust, scalable, and aligned with industry best practices. Additionally, you will collaborate extensively with cross-functional teams to resolve complex challenges and ensure client success. Your work will directly influence product improvements and shape future capabilities for healthcare customers.

Key facts

What you'll do

• Develop and deliver high-quality production systems, which include custom applications, data ingestion pipelines, and the integration of machine learning and AI models.
• Lead strategic customers through the entire lifecycle of large-scale data and AI initiatives, from design to deployment.
• Serve as the main technical authority on architecture, ensuring that solutions are scalable, secure, and adhere to industry best practices.
• Collaborate with project managers and architects to clearly define project scope and ensure timely delivery of solutions.
• Provide actionable feedback on products to engineering and support teams to address specific engagement challenges.
• Create reusable frameworks and accelerators that can influence the product roadmap and extend impact across multiple accounts.
• Work closely with customer teams to identify technical hurdles and drive measurable business results.
• Conduct training sessions and workshops for clients to enhance their understanding of data and AI systems.
• Monitor and analyze system performance to ensure optimal operation and identify areas for improvement.
• Participate in the continuous improvement of internal processes and methodologies to enhance service delivery.
• Engage in knowledge sharing and mentorship within the team to foster a collaborative environment.
• Utilize advanced problem-solving skills to troubleshoot complex issues in real-time during client engagements.
• Translate intricate technical concepts into clear narratives for both technical and non-technical stakeholders.
• Partner with sales teams to develop compelling technical narratives that support new business acquisition.

Requirements

• A minimum of 6 years of experience in software engineering, data platforms, or data engineering.
• Strong programming skills in Python, Scala, or JavaScript/TypeScript, along with familiarity with modern development frameworks.
• In-depth knowledge of distributed computing, particularly the internals of Apache Spark.
• Practical experience with MLOps, AI APIs, and the implementation of machine learning and AI models.
• Familiarity with CI/CD practices for production environments.
• Proven ability to design and implement efficient, end-to-end data architectures.
• Excellent project management capabilities, including the ability to manage project scope, timelines, and stakeholder expectations effectively.
• Strong skills in white-boarding and technical documentation to convey complex concepts clearly.
• Willingness to travel to client sites approximately 20% of the time.
• Valid Databricks Certification is required.
• Ability to obtain and maintain necessary security clearances and comply with export control regulations.
• Must be legally authorized to work in the United States without requiring employer sponsorship for this role.

Nice to have

• Familiarity with at least two cloud platforms (AWS, Azure, or GCP), with significant expertise in one of them.
• Experience in the Healthcare and Life Sciences sector is a plus.
• Knowledge of data governance and compliance standards relevant to the industry.

Practical notes

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Compensation: The salary range for this position is between $182,000 and $250,208 USD, depending on experience and qualifications. Total compensation may also include annual performance bonuses and equity options.

• Compliance: Access to certain export-controlled technology or source code may necessitate a U.S. government license; therefore, the employer retains the right to decline applicants based on this requirement.
• Travel: Willingness to travel to client sites approximately 20% of the time is required.
• Work Authorization: Candidates must be legally authorized to work in the United States without requiring employer sponsorship for this role.

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Team: This position is part of the Healthcare & Life Sciences team.

• This role offers an opportunity to work at the intersection of technology and healthcare, making a tangible impact on the industry while collaborating with talented professionals. If you are passionate about data, AI, and driving business outcomes through innovative solutions, we encourage you to apply.