Architecture/Design/Development - Application Architect III

ML Ops EngineerLocation: Reading, Pennsylvania, Work from client location, 5 days a week Max bill rate - $ 100/hour Responsibilities: Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor policies for safe collaboration.Build high-quality RAG: implement ingestion, chunking, embeddings, indexing, and retrieval with evaluation (precision/recall, groundedness, hallucination checks), guardrails, and citations.Productionize on AWS: leverage services like Bedrock (Agents/Knowledge Bases/Flows), Lambda, API Gateway, S3, DynamoDB, OpenSearch/Vector DB, Step Functions, and CloudWatch for tracing and alerts.MLOps/LLMOps: automate CI/CD (GitOps), containerization (Docker/Kubernetes), infra-as-code, secrets/IAM, blue green/rollbacks, and data/feature pipelines.Observability & evaluation: instrument telemetry (traces, token/cost, latency), build dashboards (Grafana/CloudWatch), add human-in-the-loop review, A/B testing, and continuous offline/online evals.Operate reliably at scale: implement caching, rate-limit management, queueing, idempotency, and backoff; proactively detect drift and degradation.Collaborate & communicate: partner with infra/DevOps/data/architecture teams; document designs, SLIs/SLOs, runbooks; present status and insights to technical and non-technical stakeholders.Qualifications we seek in you! Minimum Qualifications: Bachelor's degree in computer science, Data Science, Engineering, or related fieldor equivalent experience.Proven experience building agentic systems (single or multi-agent) and RAG pipelines in production.Strong cloud background for AI/ML workloads; familiarity with Bedrock or equivalent LLM platforms.Solid CI/CD and containerization skills (Git, Docker, Kubernetes) and infra-as-code fundamentals.Knowledge of data governance and model accountability throughout the MLOps/LLMOps lifecycle.Excellent communication, collaboration, and problem-solving skills; ability to work independently and within cross-functional teams.Passion for Generative AI and the impact of agent-based solutions across industries.Preferred / Good to Have:

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