About this role
Senior AI engineering leadership role focusing on design, development, and deployment of complex AI systems and LLM-based solutions in a fintech environment.
Key Responsibilities
- Lead and mentor engineering teams
- Architect and implement AI systems
- Drive cloud adoption and platform governance
- Develop AI services and guardrails
- Collaborate with cross-functional stakeholders
Technical Overview
Worked across cloud platforms (AWS/GCP/Azure) with LLM tooling, vector databases, guardrails, observability, and governance to build scalable AI services.
Ideal Candidate
The ideal candidate is a senior lead AI engineer with extensive cloud and LLM experience, able to mentor teams and drive end-to-end AI solutions in fintech.
Must-Have Skills
Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 6 years of experience developing AI and ML algorithms or technologiesor a Master's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 4 years of experience developing AI and ML algorithms or technologiesAt least 6 years of experience programming with PythonGoScalaor Java
Nice-to-Have Skills
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWSGoogle CloudAzureor equivalent private cloud)Experience designingdevelopingintegratingdeliveringand supporting complex AI systemsDemonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholdersExperience developing AI and ML algorithms or technologies (e.g. LLM InferenceSimilarity Search and VectorDBsGuardrailsMemory) using PythonC++C#Javaor GolangExperience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilizationlatencythroughputand costPassion for staying abreast of the latest AI research and AI systemsand judiciously apply novel techniques in production
Tools & Platforms
Amazon Web ServicesGoogle Cloud PlatformMicrosoft AzureKubernetesDockerKafka
Required Skills
Foundation model trainingLLM inferenceVectorDBsNemo GuardrailsHuggingFacePyTorchPythonGoScalaJavaAWSGoogle Cloud PlatformAzure
Hard Skills
PythonGoScalaJavaAWS UltraclustersAmazon Web ServicesHuggingFaceHugging FaceVectorDBsNemo GuardrailsPyTorchfoundation model traininglarge language model inferenceguardrailsmodel evaluationexperimentationgovernanceobservability
Soft Skills
leadershipmentoringcommunicationpresentationcross-functional collaboration
Keywords for Your Resume
Sr. Lead AI EngineerMLXAI Engineerfoundation model trainingllm inferencevectordbsnemo guardrailshuggingfacepytorchpythongoscalajavaawsamazon web servicesgoogle cloud platformazureobservabilityguardrailsHuggingFacePyTorchPythonAWSGoogle Cloud PlatformAzureleadership
Deal Breakers
Bachelor's degree not present in quantitative field, Less than 6 years of experience in AI/ML development, Lack of hands-on LLM system experience
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