Senior AI Engineer (Generative AI / RAG / Agentic AI)
Full Time • BELLEVUE
Benefits:
- Competitive salary
- Opportunity for advancement
- Training & development
Role: Senior AI Engineer (Generative AI / RAG / Agentic AI)
Location: Washington, DC (Onsite 4 days/week)
About The AES Group
The AES Group is a technology staffing and services company delivering high-impact solutions across cloud, data, AI, and emerging technologies for enterprise environments.
What We Offer
- Competitive pay aligned to performance and outcomes
- Lead cutting-edge Generative AI initiatives at scale
- Career growth through advanced platforms and modern engineering practices
- Collaborative culture where your work is visible and valued
About the Role
We are seeking a Senior AI Engineer to architect and deliver secure, scalable, production-grade Generative AI solutions. You will design and implement RAG systems, agentic AI orchestration, and cloud-native ML infrastructure across Azure and AWS. This role blends hands-on engineering with technical leadership, including mentoring and setting reusable engineering standards.
Responsibilities
- Architect and deliver enterprise GenAI, RAG, and conversational AI solutions end-to-end
- Design scalable retrieval, prompting, and inference patterns across Azure and AWS
- Build ingestion, enrichment, vectorization, and feature pipelines using Databricks, ADF, and EMR
- Implement embedding quality checks, drift monitoring, and metadata governance
- Engineer secure multi-agent/tool-calling systems using modern agent frameworks and MCP controls
- Establish evaluation, safety guardrails, CI/CD, automated testing, and observability for AI workloads
- Apply secure AI engineering practices, including threat modeling and compliance-aligned controls
- Lead design reviews, code reviews, and mentor engineers; create reference architectures and playbooks
Qualifications
- Bachelor’s in CS/Engineering (Master’s preferred)
- 8+ years of software engineering experience
- 2+ years building applied Generative AI solutions (RAG, agents, evaluation/safety) in production
Technical Stack (Required)
Azure: Azure OpenAI, Azure AI Search, Azure AI Agent Service, Azure ML, AKS, ADF, Databricks, Functions, API Mgmt, Key Vault, App Insights
AWS: SageMaker, Bedrock, Lambda, API Gateway, S3, CloudWatch, EMR, EKS, CodePipeline, Outposts
Vector/Indexing: Azure AI Search, Redis, FAISS, HNSW, IVF
Frameworks: Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, LangChain, MCP, Hugging Face
Languages: Python, C#, .NET, TypeScript
Inference/Deploy: Docker, vLLM, Triton, Ollama, quantized Llama (GGUF), GPU scheduling, multimodal pipelines
MLOps/Platform: MLflow, evaluation tooling, guardrails, Azure DevOps pipelines, Kubernetes, hybrid/multi-cloud
AWS: SageMaker, Bedrock, Lambda, API Gateway, S3, CloudWatch, EMR, EKS, CodePipeline, Outposts
Vector/Indexing: Azure AI Search, Redis, FAISS, HNSW, IVF
Frameworks: Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, LangChain, MCP, Hugging Face
Languages: Python, C#, .NET, TypeScript
Inference/Deploy: Docker, vLLM, Triton, Ollama, quantized Llama (GGUF), GPU scheduling, multimodal pipelines
MLOps/Platform: MLflow, evaluation tooling, guardrails, Azure DevOps pipelines, Kubernetes, hybrid/multi-cloud
Certifications (Required)
AI-900, DP-900, Responsible AI Certification, AWS ML Specialty, TensorFlow Developer, CKA/CKAD, SAFe Agile Software Engineering
Certifications (Preferred)
AI-102, DP-100, AZ-305, AZ-204
Ready to make an impact? Apply now and join us on our journey!
Compensation: $90.00 - $100.00 per hour
AES is a premier technology consulting company that brings together businesses and talent to deliver the most innovative technology solutions that create the most positive impact to society.
In the last 20 years, we have developed innovative best-in-class technology solutions to the world’s forward-thinking companies on four key service areas:
- Customer Experience: engaging customers with differentiating digital experiences to sustain
business relevance
- Employee Experience: enabling employees to learn, collaborate, and grow to sustain business
performance
- Business Solutions: transforming and optimizing business operations to sustain business resilience
- Emerging Technology: exploring and adopting emerging technology to transform business model
Our team ensures that your favorite coffee shop has the right amount of people serving you at any given time. Our team ensures that the governance board of a global company has the right ESG insights to make the most sensible actions for the world. The list goes on and on. At the core of
what we do is creating the future that is right for everyone, with the right technology, and with the right talent.
In the last 20 years, we have developed innovative best-in-class technology solutions to the world’s forward-thinking companies on four key service areas:
- Customer Experience: engaging customers with differentiating digital experiences to sustain
business relevance
- Employee Experience: enabling employees to learn, collaborate, and grow to sustain business
performance
- Business Solutions: transforming and optimizing business operations to sustain business resilience
- Emerging Technology: exploring and adopting emerging technology to transform business model
Our team ensures that your favorite coffee shop has the right amount of people serving you at any given time. Our team ensures that the governance board of a global company has the right ESG insights to make the most sensible actions for the world. The list goes on and on. At the core of
what we do is creating the future that is right for everyone, with the right technology, and with the right talent.
(if you already have a resume on Indeed)