Generative AI Solutions Engineer; LLM, RAG, AWS
Job in
Henrico, Henrico County, Virginia, 23231, USA
Listed on 2026-07-01
Listing for:
Iconma
Full Time
position Listed on 2026-07-01
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Location: Henrico
Generative Ai Solutions Engineer (LLM, RAG, AWS)
Our client, an IT Services and Consultant company, is looking for a Generative AI Solutions Engineer for their Mc Lean, VA location.
Responsibilities include:
- Design and architect end-to-end GenAI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.)
- Lead the implementation of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic AI systems
- Define AI architecture patterns, best practices, and governance frameworks
- Build scalable pipelines for data ingestion, vectorization (embeddings), and semantic search
- Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions
- Implement and manage AI model deployment on cloud platforms (Azure, AWS, GCP)
- Ensure responsible AI practices, including security, compliance, and bias mitigation
- Integrate GenAI solutions with enterprise systems (APIs, microservices)
- Mentor engineering teams and drive AI adoption roadmap
- Monitor solution performance and continuously improve accuracy, latency, and cost efficiency Technical Skills
Requirements include:
- Strong experience in Python and familiarity with ML/AI frameworks
- Knowledge of containerization (Docker, Kubernetes)
- Experience with REST APIs, microservices architecture, and system design
- Familiarity with Dev Ops/MLOps practices (CI/CD, model monitoring, versioning)
- Hands-on experience with:
- LLM frameworks:
Lang Chain, Llama Index, Semantic Kernel - Vector databases:
Pinecone, FAISS, Weaviate, Chroma - Cloud AI services:
Azure OpenAI, AWS Bedrock, Google Vertex AI - Deep understanding of:
- Transformer architectures and NLP concepts
- Prompt engineering and evaluation techniques
- RAG pipelines and embeddings
- Mandatory skills:
Gen AI, Python, AWS, Amazon Q, Kiro, Java, Spring boot, Microservice - Years of experience required: 12+
- Years of
Experience:
10.00 Years of Experience
Why should you apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
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