Senior AI Engineer

Washington, AR - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Position Title: Senior AI Engineer
Location: Washington DC Onsite 4 days in a week

Lets create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises including Fortune 500 organizations engage customers empower employees and transform operations through cloud data AI and emerging technologies.

About the Role

We are seeking a senior-level AI Engineer to architect lead and deliver scalable secure Generative AI solutions with enterprise-grade performance. This role focuses on Retrieval-Augmented Generation (RAG) agentic AI orchestration and cloud-native ML infrastructure across Azure and AWS.

The ideal candidate combines deep hands-on engineering expertise with solution architecture leadership ensuring AI platforms are secure observable cost-efficient and aligned to measurable business outcomes. This role also includes mentoring engineers and elevating overall team capability.

Key Responsibilities

AI Architecture & Solution Delivery

Architect and deliver enterprise GenAI RAG and conversational AI solutions end-to-end.
Design scalable retrieval prompting and inference patterns across Azure and AWS.
Align AI solution design with business goals security requirements and performance targets.

AI Data RAG & Feature Engineering Pipelines

Lead ingestion normalization enrichment and vectorization of AI knowledge sources.
Implement embedding quality controls drift monitoring and metadata governance.
Build and optimize scalable AI data and feature pipelines using Databricks ADF and EMR.

Agentic AI & Platform Engineering

Engineer secure multi-agent and tool-calling systems using modern agent frameworks.
Implement MCP and policy controls for agent safety traceability and runtime governance.
Design governed AI platforms with registry broker telemetry and access controls.

Model Operations Security & Governance

Evaluate and optimize models for quality safety latency and cost efficiency.
Establish CI/CD automated testing guardrails and observability for AI workloads.
Apply secure AI engineering practices including threat modeling and compliance controls.

Technical Leadership & Mentorship

Lead engineering execution agile delivery and cross-functional technical collaboration.
Mentor and coach engineers through design reviews code reviews and best practices.
Build reusable standards reference architectures and engineering playbooks.

Qualifications

Bachelors degree in Computer Science Engineering or related field required; Masters preferred.
8 years of software engineering experience.
2 years hands-on experience in applied Generative AI including RAG agent systems and model evaluation/safety.
Proven experience delivering production AI systems in regulated or enterprise environments with the following technology stack:

Azure: Azure OpenAI Azure AI Search Azure AI Agent Service Azure ML AKS Azure Batch Azure Data Factory (ADF) Azure Databricks Azure Functions API Management Key Vault App Insights Azure Arc
AWS: SageMaker Bedrock Lambda API Gateway Comprehend S3 CloudWatch EMR EKS AWS Outposts AWS CodePipeline
Vector DBs: Azure AI Search Redis FAISS HNSW IVF indexing
Frameworks: Semantic Kernel AutoGen Microsoft Agent Framework CrewAI Agno LangChain Model Context Protocol (MCP) Hugging Face
Languages & Application Stack: Python C# .NET TypeScript
Inference: Docker Ollama vLLM Triton quantized Llama (GGUF) edge inference GPU provisioning GPU scheduling multi-modal pipelines dynamic model routing
MLOps & AI Tooling: MLflow AI evaluation suites safety and guardrail tooling CI/CD for AI workloads Azure DevOps pipelines
Platforms & Orchestration: Kubernetes containerized GPU workloads hybrid/multi-cloud deployments

Certifications Required

- Azure AI Fundamentals (AI-900)
- Azure Data Fundamentals (DP-900)
- Responsible AI Certification
- AWS Machine Learning Specialty
- TensorFlow Developer
- Kubernetes CKA or CKAD
- SAFe Agile Software Engineering

Certifications Preferred

- Azure AI Engineer Associate (AI-102)
- Azure Data Scientist (DP-100)
- Azure Solutions Architect Expert (AZ-305)
- Azure Developer Associate (AZ-204)

What We Offer

Competitive pay aligned to performance and outcomes
Opportunities to lead cutting-edge AI initiatives
Professional growth with industry-leading clients and technologies
Open collaborative culture where your impact is visible and valued

Join The AES Group and help build the next generation of enterprise AI platforms. Apply now.

Position Title: Senior AI Engineer Location: Washington DC Onsite 4 days in a week Lets create our future together at The AES Group! About The AES Group The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to ...