Position Details
AI Engineer Level III Apply
Job Description
Job Description
Benefits:
AI Engineer Level III
Location: Washington, DC (Onsite)
Experience: 8+ years in software engineering | 2+ years in applied GenAI
Why This Role?
Step into a senior engineering role where youll shape high-impact GenAI systems. Lead innovation across:
As a Level III AI Engineer, youll own the architecture and execution of secure, scalable AI systems. You will lead technical delivery across RAG pipelines, agent frameworks, model ops, and cloud-based ML workflows. This role demands deep hands-on expertise and cross-functional leadership.
Key Responsibilities
AI Architecture & Delivery
Apply now and help architect the future of enterprise intelligence.
- Competitive salary
- Opportunity for advancement
- Training & development
AI Engineer Level III
Location: Washington, DC (Onsite)
Experience: 8+ years in software engineering | 2+ years in applied GenAI
Why This Role?
Step into a senior engineering role where youll shape high-impact GenAI systems. Lead innovation across:
- RAG pipelines and multi-agent orchestration
- Azure and AWS-based GenAI platforms
- Model governance, safety, and CI/CD for LLM workloads
- Multi-modal model deployment at scale
- Strategic delivery aligned with real-world enterprise impact
As a Level III AI Engineer, youll own the architecture and execution of secure, scalable AI systems. You will lead technical delivery across RAG pipelines, agent frameworks, model ops, and cloud-based ML workflows. This role demands deep hands-on expertise and cross-functional leadership.
Key Responsibilities
AI Architecture & Delivery
- Lead design of RAG pipelines using Azure AI Search, Redis, FAISS, HNSW
- Deliver multi-turn conversational systems with prompt lifecycle, telemetry, and guardrails
- Integrate LLMs (Azure OpenAI, Claude, Llama, OSS) with dynamic routing for cost/safety balance
- Deploy MCP servers with RBAC, audit logging, version control, and rate limiting
- Implement agent frameworks using Azure AI Agent Service (registry, policy enforcement, telemetry)
- Operate large-scale inferencing via Azure Batch and AWS EMR
- Lead ingestion pipelines: document normalization, metadata tagging, PII redaction, SLA/SLO tracking
- Operate vectorization workflows with drift detection and quality gates
- Architect scalable data flows using ADF, Databricks, and EMR
- Orchestrate multi-agent systems with Semantic Kernel, AutoGen, CrewAI, LangChain, Agno
- Govern agent runtimes using MCP controls for security and traceability
- Evaluate and fine-tune models; run A/B testing and latency-cost analysis
- Build secure CI/CD pipelines with integrated testing, scans, and trace logging
- Enforce DevSecOps and AI threat modeling for LLM workloads
- Deep CS knowledge: distributed systems, concurrency, performance tuning
- Expert in SDLC: clean architecture, SOLID, layered testing, DevSecOps practices
- Secure AI app delivery: sandboxed tools, secrets hygiene, token/cost profiling
- Agile leadership: drive sprints, lead technical planning, manage RACI across teams
- Proficient in GenAI systems: embeddings, transformer models, vector DB indexing
- Production-level expertise in Python, C#, .NET, and TypeScript (as needed)
- Hands-on with Azure and AWS tools: AML, AKS, Databricks, SageMaker, EMR, EKS
- Strong in model traceability, safety tooling, fine-tuning, and runtime observability
- Strategic execution: solution architecture, roadmap alignment, delivery metrics
- Azure: Azure OpenAI, AI Search, AML, AKS, ADF, Azure Batch, Databricks, Key Vault, App Insights
- AWS: SageMaker, Bedrock, Lambda, EMR, API Gateway, Comprehend, S3, CloudWatch, EKS
- Vector DBs: Redis, FAISS, HNSW, Azure AI Search
- Frameworks: LangChain, Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno
- Inference: Docker/Ollama, vLLM, Triton, GGUF quantization, GPU provisioning, edge AI
- Azure AI Fundamentals (AI-900), Data Fundamentals (DP-900)
- Responsible AI certifications
- AWS Machine Learning Specialty
- TensorFlow Developer
- Kubernetes CKA or CKAD
- SAFe Agile Software Engineering
- Azure AI Engineer (AI-102)
- Azure Data Scientist (DP-100)
- Azure Solutions Architect (AZ-305)
- Azure Developer Associate (AZ-204)
Apply now and help architect the future of enterprise intelligence.
