Remote Enterprise AI Architect AWS Agentic Leader

Mitchell International; San Diego (CA); On-site; USD 133,000 - 180,000; Full time

Benefits offered by this job

401(k)

Tuition Reimbursement

Remote work

Job summary

Mitchell International, Inc. in the United States is seeking an AI Architect to lead enterprise-wide AI strategy, governance, and agentic AI initiatives across cloud-native platforms.

The role focuses on designing scalable AI architectures, integrating AWS AI/ML services, and ensuring data governance, privacy, and compliance while mentoring engineers and collaborating with product teams. Remote US-based.

Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, or related field.
• 8+ years of experience in software architecture, data architecture, or AI/ML engineering, with at least 3 years in a senior or lead architect role.
• Deep hands-on expertise with the AWS AI/ML stack (SageMaker, Bedrock, Agent Core, Kendra, Comprehend, etc.).
• Strong foundation in data architecture — data modeling, ETL/ELT pipelines, data lakes, lakehouses, and cloud-native data platforms.
• Proven experience in data governance — data quality frameworks, metadata management, data cataloging, lineage tracking, and compliance.
• Experience designing and deploying large language model (LLM) solutions, including prompt engineering, fine-tuning, RAG, and embedding strategies.
• Demonstrated experience with agentic AI patterns — multi-agent systems, tool orchestration, autonomous workflows, and guardrail design.
• Strong understanding of MLOps practices — CI/CD for ML, model versioning, A/B testing, monitoring, and retraining pipelines.
• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar).
• Experience with infrastructure-as-code (CloudFormation, CDK, Terraform) for AI/ML resource provisioning.
• Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Responsibilities

• Define and own the enterprise AI reference architecture, including patterns for model training, inference, orchestration, and agentic workflows.
• Evaluate, select, and integrate AWS AI/ML services into a cohesive, scalable platform strategy.
• Architect end-to-end AI solutions — from data ingestion and feature engineering through model deployment, monitoring, and feedback loops.
• Lead the technical design of Agentic AI systems, including multi-agent orchestration, tool-use patterns, retrieval-augmented generation (RAG), and autonomous decision-making workflows.
• Mentor engineers and data scientists on AI architecture best practices and AWS tooling.
• Collaborate with security, compliance, and legal teams to embed responsible AI principles into the development lifecycle.
• Present architectural recommendations and roadmaps to senior leadership and stakeholders.

Skills

AWS AI/ML stack

Data governance

Agentic AI

MLOps

Python

Education

Bachelor's Degree in Computer Science or related field

Tools

SageMaker

Bedrock

Kendra / OpenSearch

CloudFormation

Terraform

Job description

Mitchell International, Inc. in the United States is seeking an AI Architect to lead enterprise-wide AI strategy, governance, and agentic AI initiatives across cloud-native platforms.

The role focuses on designing scalable AI architectures, integrating AWS AI/ML services, and ensuring data governance, privacy, and compliance while mentoring engineers and collaborating with product teams. Remote US-based.