AI Engineer – FDE (Forward Deployed Engineer)

Job Overview

The position being offered is for an AI Engineer – FDE (Forward Deployed Engineer) at Databricks, located remotely in the United Kingdom. This role is ideal for candidates who are based in the UK and are proficient in building and deploying Generative AI (GenAI) applications. With a focus on both technical expertise and customer-facing responsibilities, this role aims to deliver professional services engagements that involve the creation and production of innovative AI solutions for various clients.

Mission and Responsibilities

The AI FDE team operates as a specialized customer-facing unit within Databricks, showcasing talent in delivering top-notch AI applications. Key responsibilities for this role include:

• Developing cutting-edge GenAI solutions while implementing the latest research techniques from Databricks AI.
• Managing production rollouts for both consumer-facing and internal GenAI applications.
• Serving as a trusted technical advisor across various domains, providing insights to customers.
• Additionally, the engineer may be expected to present at industry conferences, such as the Data + AI Summit, thereby establishing themselves as a thought leader in the field.
• Engaging in cross-functional collaboration with product and engineering teams to shape the overall product roadmap and influence key priorities.

Required Skills

To qualify for this position, candidates are expected to possess several core competencies:

• Experience in building GenAI applications; familiarity with concepts like RAG (Retrieval-Augmented Generation) and multi-agent systems is crucial.
• Proficiency in tools including HuggingFace, LangChain, and DSPy.
• A strong background in deploying production-grade GenAI applications, focusing on evaluation and optimizations.
• Extensive hands-on data science experience with common tools such as pandas, scikit-learn, and PyTorch.
• Experience with deploying machine learning models on platforms like AWS, Azure, or Google Cloud Platform (GCP) is required.
• A graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research or similar) or equivalent experience is preferred.
• Candidates should demonstrate effective communication skills, able to translate technical concepts for both technical and non-technical audiences.
• A passion for collaboration, continuous learning, and a drive to enhance business value through AI is essential.

Preferred Qualifications

While not mandatory, the following experiences are valued:

• Familiarity with the Databricks Intelligence Platform and Apache Spark for processing large datasets.
• Readiness to travel for client meetings every four to eight weeks if required.

Salary and Benefits

Information on salary specifics has not been disclosed in the provided text. However, candidates can expect Databricks to offer a comprehensive benefits package that caters to diverse needs, though specifics for different regions may vary.

Company Overview

Databricks is recognized as the Data and AI company, serving over 20,000 organizations across the globe, including impressive names such as adidas, AT&T, and Mastercard. The company is headquartered in San Francisco, with multiple offices worldwide, and focuses on providing a unified platform for data and AI application development.

Commitment to Diversity

Databricks maintains a strong commitment to creating a diverse and inclusive environment. The company actively promotes inclusive hiring practices consistent with equal employment opportunity standards. Job seekers can feel assured that they will be considered for employment without any discrimination based on various personal or social attributes.

Conclusion

The AI Engineer – FDE role at Databricks presents an exciting opportunity for professionals eager to be at the forefront of AI innovation and customer engagement. With a collaborative work environment and a chance to influence the future of Generative AI, this position is tailored for those with a passion for technology, customer service, and continual personal growth.

This job offer was originally published on jobicy.com