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Generative AI Lead Engineer jobs in United States
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Galent · 1 day ago

Generative AI Lead Engineer

Galent is seeking a Generative AI Lead Engineer to lead the design, development, and adoption of enterprise-scale AI solutions. This role involves hands-on engineering, solution architecture, and technical leadership to deliver secure and scalable Generative AI platforms using Azure OpenAI and cloud-native technologies.
Computer Software
Hiring Manager
Akash R
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Responsibilities

Lead the design and implementation of Generative AI solutions using Azure OpenAI (GPT-4o, GPT-5, embeddings, RAG architectures)
Build and validate Proofs of Concept (PoCs) to assess feasibility, scalability, performance, and business value
Design and deploy RAG-based AI systems , including vector search, prompt orchestration, and knowledge grounding
Deliver end-to-end AI applications , including backend services, APIs, and lightweight UI components for AI-driven workflows
Actively leverage AI agents and agentic frameworks for tasks such as code generation, testing, refactoring, workflow automation, and intelligent orchestration
Develop and integrate custom copilots using Copilot Studio, Azure AI Foundry, Entra ID, Microsoft Graph API, and enterprise applications
Architect and build cloud-native applications using Azure Functions, App Services, and microservices on Azure Container Registry/AKS
Design data ingestion pipelines from SharePoint, Cosmos DB, and external APIs for AI-driven solutions
Ensure AI solutions meet enterprise security, compliance, and governance standards
Partner with product owners, architects, security teams, and business stakeholders to drive AI adoption
Provide technical leadership through design reviews, mentoring, and best practice guidance
Contribute to AI standards, reference architectures, and operational runbooks

Qualification

Azure OpenAIGenerative AI solutionsRAG architecturesAI/ML experienceAzure cloud servicesPythonAI observabilityPrompt engineeringCommunication skillsTechnical leadership

Required

8+ years of experience in software, platform, or cloud engineering
3+ years of hands-on experience with AI/ML or Generative AI solutions
Strong experience with Azure OpenAI and LLM-based application development
Proven experience implementing RAG architectures and vector search solutions
Experience delivering end-to-end AI applications, including backend services, APIs, and basic user interfaces for AI-driven solutions
Experience using AI agents or agentic workflows to assist with software development, automation, or intelligent orchestration
Solid background in Azure cloud services (Functions, App Services, ACR)
Familiarity with AI observability, including model monitoring, logging, and usage analytics
Hands-on experience with Azure AI Search, Azure Document Intelligence, or similar services
Strong programming experience in Python and or NodeJS/TypeScript
Experience with prompt engineering, evaluation strategies, and LLM performance tuning
Experience designing scalable, resilient, and secure enterprise systems
Excellent communication skills with the ability to translate business needs into technical solutions

Company

Galent

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Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.

Funding

Current Stage
Late Stage
Company data provided by crunchbase