RevStar

AI Engineer

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems.
• Serve as the primary technical leader on strategic enterprise client engagements.
• Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions.
• Lead complex legacy platform migrations, including Snowflake, Teradata, legacy Hadoop, and SQL Server, onto Databricks Lakehouse architecture.
• Guide enterprise customers in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
• Identify high-value technical use cases across client business units, expanding Databricks usage and driving measurable client ROI.
• Mentor junior Solution Engineers, Architects, and Consultants.
• Contribute to RevStar code libraries, reusable accelerators, and technical delivery best practices.

Forward Deployed Engineer – AI/ML

Cloud Engineer

• Design, build, and deploy secure, scalable, and resilient AWS cloud architectures
• Use Infrastructure as Code and modern microservices/serverless patterns
• Serve as the primary technical leader on strategic enterprise client engagements
• Partner with CIOs, CTOs, VPs of Infrastructure/Engineering, and client development teams
• Lead large-scale migrations from on-premises data centers or legacy platforms to AWS
• Re-architect legacy monolithic applications into serverless or containerized architectures
• Architect and deploy enterprise Generative AI and machine learning workloads
• Build data platforms and AI solutions using Amazon Bedrock, SageMaker, vector databases, and custom RAG implementations
• Identify high-value cloud workloads and drive AWS consumption expansion
• Build POCs and drive strategic technical alignment with client executive leadership
• Coach and mentor Cloud Engineers and Solutions Architects
• Develop internal accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices

Forward Deployed Engineer – AWS

• Design, build, and deploy secure, scalable, and resilient AWS cloud architectures
• Use Infrastructure as Code and modern microservices/serverless patterns
• Serve as the primary technical leader on strategic enterprise client engagements
• Translate complex business goals into high-performing AWS solutions
• Lead large-scale migrations from on-premises data centers or legacy platforms to AWS
• Re-architect legacy monolithic applications into modern serverless or containerized architectures
• Architect and deploy enterprise Generative AI and machine learning workloads
• Build data platforms and AI solutions using AWS services and vector databases
• Identify high-value cloud workloads and drive AWS consumption expansion
• Coach and mentor Cloud Engineers and Solutions Architects
• Develop internal accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems
• Serve as the primary technical leader on strategic enterprise client engagements
• Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions
• Lead complex legacy platform migrations onto the Databricks Lakehouse architecture
• Guide enterprise customers in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations
• Identify high-value technical use cases across client business units, expand Databricks platform usage, and drive measurable client ROI
• Mentor junior Solution Engineers, Architects, and Consultants
• Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices

Forward Deployed Engineer, AI/ML

Designer

• Audit existing game assets, UI systems, and visual layouts to architect reusable, modular graphics templates
• Abstract visual components and core gameplay mechanics into configurable parameters for non-technical content creators
• Consult with engineering and art teams to define specifications for scalable asset and content pipeline tooling
• Architect intuitive gameplay loops, progression frameworks, visual feedback loops, and reward structures for interactive modules
• Establish and document UI/UX standards, visual design patterns, and aesthetic consistency benchmarks across game templates
• Translate complex subject matter into clear visual communication frameworks
• Act as the Subject Matter Expert for game design and visual layout during client scoping and custom configuration reviews
• Execute iterative visual design reviews, aesthetic audits, and usability assessments
• Produce documentation including style guides, asset specifications, and technical configuration parameters

Forward Deployed Engineer – AI/ML

Forward Deployed Engineer – AWS

Forward Deployed Engineer – AWS

Forward Deployed Engineer, AI/ML

Game Design SME – Visual, Systems