The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.

We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team.

This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems

• Own production rollouts of consumer and internally facing GenAI applications

• Serve as a trusted technical advisor to customers across a variety of domains

• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally

• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

• Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role

• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.

• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through AI

• Preferred experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

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Your responsibilities will include designing and implementing platform capabilities to support the AI/ML development and productionization lifecycle, including training, evaluation, deployment, monitoring, and management of models and agents.

You will also design and implement platform integrations with various frameworks in the AI/ML ecosystem, collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps, and ensure the latest AI/ML tooling advancements are available to Databricks' customers.

Additionally, you will mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.

We are looking for a highly skilled and experienced software engineer with a strong background in AI/ML and a passion for building and maintaining open-source platforms.

The ideal candidate will have a BS (or higher) in Computer Science, or a related field, and 5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.

Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment, is also required.

Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring, is essential.

A deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects is preferred.

Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects, are also preferred.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

For specific details on the benefits offered in your region, please click here.

We are committed to diversity and inclusion and welcome applications from candidates of all backgrounds.

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The impact you'll have:

• Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents
• Design and implement platform integrations with various frameworks in the AI/ML ecosystem
• Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps
• Ensure the latest AI/ML tooling advancements are available to Databricks' customers, thereby enabling organizations around the world to get more value from their data
• Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review

What we look for:

• BS (or higher) in Computer Science, or a related field
• 3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java
• Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment
• Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring
• Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects
• Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

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Job Description: The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our federal government customers build and productionize first-of-its-kind AI applications.

Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

What We Look For:

• Experience working with U.S. federal civilian, state, or local agencies.
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $180,656-$248,360 USD

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit

Requirements:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.
• Preferred experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

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We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our website.

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Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Requirements:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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Drawing from your expertise in circuit Quantum Electrodynamics and full-wave radio-frequency engineering, from fundamental theory through practical application, you will identify and implement improvements to the integrated circuit layout to mitigate loss and crosstalk channels. You will lay out and design microwave multi-qubit circuits for fabrication and develop next-generation quantum processors.

Key responsibilities include designing, laying out, and simulating superconducting microwave integrated circuits for quantum processors, with a focus on optimal on-chip signal delivery (routing, filtering, multiplexing, etc…). You will also simulate the full-wave electromagnetic performance of quantum processors (eigenmode & driven analyses) using commercial finite element software, engineering the mode profile of resonant structures and the coupling between these resonant structures and on-chip feedlines to optimize device performance.

Engagement with quantum engineers to identify and optimize Hamiltonian parameters for our R&D test devices and deployed quantum processors is also required. Additionally, you will map between target quantum Hamiltonians and integrated circuit layouts using internal python software libraries to construct and diagonalize the quantum Hamiltonian.

Interpretation of simulation and experimental results to identify and mitigate loss and crosstalk channels, or other undesirable microwave properties of the circuit, is essential. Collaboration with fabrication and experimental teams to develop novel processor architectures is also expected.

A PhD in Physics, Applied Physics, Electrical Engineering, or a related field, or the equivalent experience in industry and 3+ years of industry experience is preferred. Strong background in the theory and application of circuit Quantum Electrodynamics to the design of superconducting qubit based quantum processors is also required.

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Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.

Responsibilities

• Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
• Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
• Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
• Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
• Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
• Improve the speed, quality, and efficiency of our AI systems and engineering processes
• Take ownership of systems and designs from conception through to deployment and maintenance

Qualifications

• 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
• Excellent skills in delivering and communicating business value
• Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
• Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
• Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus
• Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
• Solid understanding of ML evaluation methodologies and key IR metrics
• Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks

Tech Stack

• Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
• Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS
• Cloud & MLOps: AWS, Databricks, Ray

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• This position has a base salary range between $80k and $120k USD.

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