The AES Group · 13 hours ago
AI Engineer Level III
Washington, DC
Contract
Onsite
Senior Level, Lead/Staff
8+ years expThe AES Group is seeking a senior AI Engineer to architect and lead the delivery of scalable GenAI systems with enterprise-grade performance. The role involves overseeing the design and implementation of AI solutions, managing AI infrastructure, and ensuring the security and governance of AI operations.
Artificial Intelligence (AI)BlockchainEnterpriseHealth CareInformation Technology
Responsibilities
Lead end-to-end design of RAG pipelines using Azure AI/Search and vector DBs (Redis, FAISS, HNSW)
Deliver multi-turn, retrieval-grounded conversational systems with robust prompt lifecycle, guardrails, and telemetry
Drive integration of multi-modal LLMs (Azure OpenAI, Claude, Llama, OSS models) with dynamic model routing for cost and safety
Architect and deploy Model Context Protocol (MCP) servers with RBAC, versioning, audit logging, validation, and rate limiting
Build policy-compliant agent ecosystems using Azure AI Agent Service: registry, broker, telemetry, governance enforcement
Manage high-throughput inferencing pipelines using Azure Batch and distributed AI data flows with AWS EMR
Oversee RAG data ingestion and enrichment: doc normalization, PII redaction, metadata tagging, SLA/SLO monitoring, lineage
Lead vectorization workflows with drift monitoring and quality gates
Architect and optimize Azure Data Factory, Databricks, and AWS EMR data engineering for scalable AI features
Engineer and govern secure tool-calling and multi-agent orchestration using Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, LangChain
Enforce MCP-based controls for heterogeneous agents across runtimes, ensuring safety and traceability
Evaluate, fine-tune, and optimize models for quality, safety, cost, and latency using A/B and offline evaluation suites
Define CI/CD pipelines for AI workloads including automated tests, scans, safety tools, and trace logging
Ensure security posture of AI/LLM workloads via threat modeling and secure software practices
Strong CS fundamentals: distributed systems, concurrency, networking, complexity
Expert-level SDLC: clean architecture, SOLID, layered testing, DevSecOps
Secure AI app development: sandboxed tools, secrets hygiene, RBAC
Performance engineering: latency profiling, cost tuning (token, embedding, GPU), vector DB indexing
Lead agile ceremonies, cross-functional delivery, and roadmap execution with RACI clarity
Qualification
Required
Bachelor's in CS, Engineering, or related; Master's preferred
8+ years in software engineering, 2+ in applied GenAI (RAG, agent systems, model safety/eval)
GenAI architecture mastery: RAG, vector DBs, embeddings, transformer internals, multi-modal pipelines
Agentic systems: Azure AI Agent Service patterns, MCP servers, registry/broker/governance, secure tool-calling
Languages: C# and Python (production-grade), .Net, plus TypeScript for service/UI when needed
Azure & AWS services (see Knowledge Requirements) with hands-on implementation and operations
Model ops: eval suites, safety tooling, fine-tuning, guardrails, traceability
Business & delivery: solution architecture, stakeholder alignment, roadmap planning, measurable impact
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
Preferred
LangChain, Hugging Face, MLflow; Kubernetes + GPU scheduling; vector search tuning (HNSW/IVF)
Responsible AI: policy mapping, red-team playbooks, incident response for AI
Hybrid/multi-cloud deployments using Azure Arc and AWS Outposts; CI/CD for AI workloads across Azure DevOps and AWS CodePipeline
Azure AI Engineer Associate (AI-102)
Azure Data Scientist (DP-100)
Azure Solutions Architect Expert (AZ-305)
Azure Developer Associate (AZ-204)
Company
The AES Group
The AES Group is a premier technology staffing and consulting company that brings together businesses and talent to deliver the most innovative technology solutions that create the most positive impact to society.
51-200 employees
H1B Sponsorship
The AES Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (6)
2023 (8)
2022 (9)
2021 (7)
2020 (12)
Funding
Current Stage
Growth StageLeadership Team
Pavan Mukhara
Chief Executive Officer
Company data provided by crunchbase