[Remote] Gen AI Engineer Lead

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a strategic GenAI Product Engineering Lead to drive the design and delivery of an enterprise-grade AI platform on Microsoft Azure. The role involves leading a multidisciplinary team to develop scalable and secure solutions that enhance business operations and provide exceptional value to clients.ResponsibilitiesLead, mentor, and grow a high-performing engineering team, fostering a culture of innovation, accountability, and continuous improvementEstablish and enforce engineering best practices, focusing on code quality, reliability, and operational efficiencySet technical direction and ensure alignment with enterprise goals and standardsArchitect scalable, secure, and resilient AI systems on Azure (and other cloud environments as needed), working with Large Language Models (LLMs), and collaborating with cross-functional teams to integrate AI into products and processes. A strong technical foundation in areas like Python, AI/ML frameworks, and cloud platforms, combined with project management and leadership skills, are essential for this roleDefine Power Platform apps from end-to-end, including backend data pipelinesDefine and enforce architectural standards, including microservices, event-driven design, and API-first principlesArchitect multi-tenant B2B environments with tenant-aware data partitions using Cosmos DB and Azure AD B2C/Entra ID to ensure data, security, and cost isolationBuild per-tenant vector stores, knowledge bases, and connectors to support customer-specific document ingestion and retrievalImplement telemetry, metering, and consumption-based billing dashboards to track tenant-level usage and optimize resource allocationDesign and implement advanced GenAI solutions, including agent-based systems for automation, orchestration, and intelligent workflowsIntegrate large language models (LLMs), Retrieval-Augmented Generation (RAG), and custom agents with business processes and user-facing applicationsLead design using frameworks such as Semantic Kernel, LangChain, AutoGen, or CrewAI to build orchestration among multiple specialized agentsLead domain-specific fine-tuning and adaptation of large language models using Azure OpenAI Service or third-party frameworks (e.g., Tinker AI, LoRA, PEFT, or Delta Tuning)Design modular fine-tuning workflows to create tenant-aware or task-specific models that enhance personalization while maintaining shared governance and securityImplement automated retraining and evaluation loops to continuously improve response accuracy, tone, and compliance across tenantsDesign agent toolkits that connect external APIs, databases, and Power Platform components for automated workflowsOversee model evaluation, tuning, and continuous improvement cycles using reinforcement learning from human feedback (RLHF) or synthetic data augmentationEstablish model-drift detection and retraining triggers to sustain model performance across customer domainsTrack usage analytics to measure model performance, accuracy, and user engagementGovern token usage, compute allocation, and cost optimization strategies using Azure Cost ManagementManage versioning of models, prompts, and embeddings to ensure reproducibility, auditability, and traceability as part of the ongoing GenAI lifecycle operationsDesign, develop, and maintain robust, scalable, and secure full-stack web applicationsBuild dynamic and responsive user interfaces using React, TypeScript, and modern state management librariesArchitect and implement scalable backend services and RESTful APIs using Python (with frameworks like FastAPI or Flask) and caching technologies like RedisDesign and manage data models and interact with both relational (SQL) and NoSQL databases (e.g., Cosmos DB)Collaborate with citizen developers and business stakeholders to enable rapid app development using Power Apps, Power Automate, and Power BIEnsure seamless integration between custom Azure services and Power Platform componentsLead the design and implementation of robust data ingestion, transformation, and processing pipelines using Azure Data Factory, Databricks, Synapse, or equivalentEnsure data quality, governance, and compliance with enterprise and regulatory standardsDevelop secure pipelines for fine-tuning data preparation, ensuring data labeling, anonymization, and quality scoring to meet Responsible AI standardsLeverage Azure ML pipelines or Databricks workflows to automate dataset curation and model retraining schedulesOptimize compute resources using Azure Functions, AKS, and serverless architectures for cost-effective, high-performance workloadsImplement auto-scaling, load balancing, and failover strategies for mission-critical applicationsChampion security best practices, including identity management, data protection, and compliance (e.g., SOC2, GDPR)Establish monitoring, alerting, and incident response protocols for platform reliability and operational excellenceAct as a technical liaison between engineering, product, business, and executive teamsCommunicate complex technical concepts clearly to non-technical stakeholdersSkillsProven experience leading engineering teams in building enterprise-grade platforms on AzureDeep expertise in cloud architecture, distributed systems, and scalable frameworksAdvanced proficiency in GenAI, agent-based systems, and LLMs. Understanding of agent frameworks (e.g., LangChain, Semantic Kernel) and orchestration toolsStrong background in data engineering, including ETL, data lakes, and real-time processingDemonstrated ability to design secure, compliant, and reliable cloud solutionsGenerative AI Expert with: Direct experience integrating LLMs (e.g., Azure OpenAI), developing RAG workflows, and using vector databases (e.g., Azure AI Search)Strong proficiency in languages like Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or KerasExperience with LLMs, prompt engineering, agentic flows, and foundational AI techniquesExperience with cloud-native development (e.g., AWS, Azure) and building scalable microservicesStrong fundamentals in software engineering, system architecture, and lifecycle managementKnowledge of enterprise security, compliance, and governance standardsTrack record of delivering large-scale, multi-tenant platformsExcellent leadership, communication, and stakeholder management skillsExperience working in Agile, Scrum, or Kanban environmentsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experienceExperience building and deploying fine-tuned or adapted LLMs using tools such as Tinker AI, Azure AI Studio, Hugging Face, or MosaicMLKnowledge of parameter-efficient tuning methods (LoRA, PEFT, QLoRA) and prompt-based adaptation techniquesUnderstanding of API Gateway & Identity federation (Azure API Management, Entra ID multi-tenant apps)Experience with Azure Data Factory, Synapse, Databricks, and Power Platform (Power Apps, Power Automate, Power BI)SaaS Experience: Experience building and supporting multi-tenant SaaS applicationsAzure Ecosystem: Expertise with specific Azure services such as Azure AI Services, Azure App Services, Azure Functions, Azure DevOps, and Azure Kubernetes Service (AKS)Infrastructure as Code (IaC): Experience using IaC tools like Bicep or Terraform to manage cloud resourcesContainerization: Proficiency with Docker and container orchestration tools like KubernetesModern Frontend Tooling: Experience with TypeScript and state management libraries (e.g., Redux, Zustand)BenefitsMedical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protectionESPP (employee stock purchase program)401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenureHSA (Health Savings Account on the HDHP plan)SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessionsCorporate discount savings program and other discountsOn-demand training programAccess to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenureCertification discounts and other perks to associations that include CompTIA and IIBADedicated customer service team for our Consultants that can address questions around benefits and other resourcesCertified Career Coach'Welcome Packet' as well, which an Everforth Apex team member can provideCompany OverviewDice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.