Overview As an AI/ML Sr Architect, you will shape enterprise AI foundations across cloud environments. You will design scalable agent-based systems, guide cross-functional teams, and drive production-ready AI platforms. You'll lead architecture work with clients, evaluate technologies, and define governance and MLOps practices. This role blends hands-on engineering with strategic leadership to deliver transformative AI solutions at scale. You'll join a collaborative, innovation-driven environment that values diverse perspectives and client impact.
Compensation / Benefits- medical
- dental
- vision
- life
- long-term disability
- 401(k)
Responsibilities- Architect enterprise-ready AI agent systems including retrieval, orchestration, governance, evaluation, and lifecycle observability
- Lead architecture workshops with client and Accenture teams and finalize requirements and total cost of ownership for AI solutions
- Evaluate and select technologies for full-stack AI platforms and build financial viability models
- Create architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge and data layer)
- Design knowledge architectures (knowledge graphs, semantic layers) for enterprise-scale AI agents
- Ensure scalability, security, governance, and performance across public, private, and sovereign clouds
- Develop reusable AI components, agents, and solution patterns for repeatable delivery
- Stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK) and design scalable reference architectures
- Operate AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle
- Troubleshoot and optimize AI systems for performance, cost, reliability, and trust
Key requirements- Minimum 10 years of experience in Python, Java, or equivalent
- Minimum 6 years of experience with AI technologies from public clouds, open source, and third-party tooling
- Minimum 4 years designing and operationalizing large-scale AI/ML solutions on at least one major public cloud
- Minimum 4 years hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, open-source) and agentic orchestration tools (LangGraph, CrewAI, AutoGen) and MLOps/LLMOps
- Minimum 3 years designing and implementing scaled Agentic AI and Generative AI solutions in operations
- Bachelor's degree or equivalent work experience (12 years); Associate Degree requires 6 years of work experience
- strong communication
- leadership
- collaboration
- Python
- Java
- OpenAI
