
Forward Deployed Engineer – AI/ML
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Arizona, +2 more states.
• Design, construct, and implement production-level data pipelines, analytics engines, and Generative AI/LLM applications utilizing Databricks, Spark, Python/PySpark, and contemporary cloud ecosystems.
• Act as the principal technical leader on key enterprise client projects.
• Collaborate with C-level executives, VP/Directors of Data, and engineering teams to convert business challenges into technical solutions.
• Oversee complex migrations of legacy platforms, including Snowflake, Teradata, legacy Hadoop, and SQL Server, to the Databricks Lakehouse architecture.
• Assist enterprise clients in embracing GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
• Recognize high-value technical use cases within client business units, enhancing Databricks utilization and generating measurable client ROI.
• Mentor junior Solution Engineers, Architects, and Consultants.
• Contribute to RevStar code libraries, reusable accelerators, and best practices for technical delivery.
• Over 5 years of practical experience in Data Engineering, Machine Learning, or Solutions Architecture.
• More than 3 years of extensive technical expertise within the Databricks Ecosystem (Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, Mosaic AI).
• Hands-on experience in designing and deploying RAG pipelines, fine-tuning LLMs, working with vector databases, and managing end-to-end ML pipelines.
• Strong knowledge of cloud-native architectures (AWS preferred—S3, Glue, Lambda, Redshift, etc.).
• Proven experience in migrating enterprise legacy data warehouses/lakes to Databricks.
• Databricks Certified Data Engineer Professional and/or Machine Learning Professional certification preferred.
• Demonstrated success in leading technical delivery for Fortune 500 or large enterprise clients.
• Experience in healthcare, retail, and consumer goods is a significant advantage.
• Excellent verbal and written communication skills; adept at presenting technical architectures, building POCs/demos, and managing client stakeholders up to the C-suite.
• Ability to identify technical expansion opportunities within existing client accounts and act as a technical advocate to enhance account footprint.
• Paid Time Off – Take the necessary time to recharge and maintain productivity.
• Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
• Comprehensive Health Coverage – Medical, Dental, Vision.
• 401(k) Retirement Plan – Prepare for your future with access to a company-sponsored 401(k) program.
• Annual Learning & Development Stipend – Invest in your skills through conferences, certifications, or courses.
• Peer Mentorship & Coaching – Learn from seasoned engineers, product managers, and architects to expedite your growth.
• Professional Growth Opportunities – Gain exposure to cutting-edge AWS GenAI, data, and cloud technologies across various industries.
• Company Outings & Volunteer Opportunities – Build connections and contribute to the community.
• Collaborative, Innovative Culture – Work alongside top talent in a dynamic, supportive environment that values curiosity and initiative.
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