The AES Group · 16 hours ago
AI Engineer Level II
Washington, DC
Contract
Onsite
Senior Level
5+ years expThe AES Group is seeking an AI Engineer Level II to design and implement enterprise-grade AI systems focused on Retrieval-Augmented Generation (RAG) and cloud-native ML pipelines. The role involves working cross-functionally to operationalize secure and scalable AI solutions across Azure and AWS platforms.
Artificial Intelligence (AI)BlockchainEnterpriseHealth CareInformation Technology
Responsibilities
Design and deploy RAG pipelines using Azure AI/Search and vector DBs (Redis, FAISS, HNSW)
Develop conversational AI systems with prompt lifecycle management, telemetry, and guardrails
Integrate LLMs like Azure OpenAI, Llama, Claude, and OSS models across vision and speech domains
Implement Model Context Protocol (MCP) servers with RBAC, schema versioning, validation, and audit trails
Deploy Azure AI Agent Service patterns: agent registry, policy enforcement, and telemetry logging
Use Azure Batch and AWS EMR for parallel inferencing and distributed feature processing
Build and manage ingestion pipelines: document normalization, metadata enrichment, PII redaction, SLA monitoring
Operate scalable vectorization pipelines with drift detection and quality gates
Use Azure Data Factory and Databricks; AWS EMR for large-scale Hadoop/Spark workloads
Implement secure tool-calling and multi-agent orchestration using Semantic Kernel, AutoGen, Agent Framework, CrewAI, Agno, and LangChain
Apply governance, telemetry, and lifecycle management across agent runtimes with MCP controls
Fine-tune and evaluate OSS and proprietary models; conduct A/B tests and latency/cost analysis
Implement CI/CD pipelines with security scans and validation for AI/LLM workloads
Proficiency in CS fundamentals: algorithms, distributed systems, concurrency, networking
Experience with SDLC excellence: clean architecture, SOLID, testing pyramids (unit, integration, E2E)
Secure AI app development: input validation, secret hygiene, RBAC, sandboxed functions
Performance engineering: latency tuning, token optimization, vector index profiling
Qualification
Required
Bachelor's in CS, Engineering, or equivalent hands-on expertise
5+ years in software engineering
2+ years in GenAI/LLM applications (RAG, agents, safety, eval)
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Data Fundamentals (DP-900)
Responsible AI certifications
AWS Machine Learning Specialty
TensorFlow Developer
Kubernetes CKA or CKAD
SAFe Agile Software Engineering
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
Preferred
Azure AI Engineer Associate (AI-102)
Azure Data Scientist Associate (DP-100)
Azure Solutions Architect (AZ-305)
Azure Developer Associate (AZ-204)
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
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