AI Engineering Leader / GenAI Solutions Architect
Global IT services and digital transformation company · Dallas, Bay Area, Chicago, NYC (NY/NJ), Washington DC/Virginia
- Location
- Dallas, Bay Area, Chicago, NYC (NY/NJ), Washington DC/Virginia · 5 days/week onsite
- Salary band
- $180K – $180K/yr
- Type
- Full-time
- Level
- Senior
- Work authorization
- Not stated
Stack
Generative AI · LLM · RAG · Semantic Search · OpenAI API · Azure OpenAI · AWS Bedrock · GitHub Copilot · Microservices · .NET Core · Java · Spring Boot · Node.js · Docker · CI/CD · Vector Stores · Embeddings · Enterprise Architecture · Cloud (AWS/Azure) · DevOps
About the role
Job Title: AI Engineering Leader / GenAI Solutions Architect Location: Dallas, Bay Area, Chicago, NYC ( NY/NJ), Washington DC/Virginia onsite 5 days Salary: $180k/annum + Benefits Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Job Summary: Seeking an experienced AI Engineering Leader / GenAI Solutions Architect with 12+ years of experience in software engineering, enterprise architecture, digital transformation, and AI-enabled application modernization. The ideal candidate will have hands-on experience designing and implementing Generative AI, LLM, RAG, semantic search, and AI-assisted software engineering solutions across enterprise environments. Key Responsibilities: - Lead the architecture and implementation of GenAI and LLM-powered enterprise solutions. - Design RAG-based architectures using embeddings, vector stores, retrieval mechanisms, and contextual data. - Integrate OpenAI APIs, Azure OpenAI, AWS Bedrock, and other AI services into enterprise applications. - Drive AI-enabled SDLC transformation, leveraging tools such as GitHub Copilot for code generation, code reviews, testing, documentation, and developer productivity. - Lead application modernization initiatives, transitioning legacy platforms to headless, microservices-based architectures. - Design and implement AI-powered search solutions, including semantic search, autocomplete, recommendations, and geo-based search. - Provide enterprise-level solution architecture and technical leadership across complex digital transformation initiatives. - Develop AI orchestration and integration services using .NET Core, Java/Spring Boot, Node.js, and API-based architectures. - Collaborate with engineering, product, and business stakeholders to identify and implement practical AI use cases. - Establish scalable data modeling, indexing, retrieval, and integration strategies for AI applications. - Support cloud-based AI deployments using AWS and Azure services. - Drive DevOps practices including CI/CD, Docker/containerization, deployment, monitoring, and production support. - Lead AI use cases including conversational AI, intelligent search, recommendations, content enrichment, and AI-powered customer experiences. - Provide technical guidance for enterprise modernization, architecture decisions, and scalable digital platforms.
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