Enterprise Architect (AWS, Data. AI)

Key Responsibilities

• Define the target state architecture for AI, identifying opportunities to improve business processes through AI/ML technologies.
• Create, maintain, and publish AI reference architectures, standards, and patterns for AI development and deployment.
• Build POC and help scale AI platforms (LLMOps, RAG frameworks) while establishing governance for AI ethics, security, privacy, and compliance.
• Partner with data scientists, engineers, and stakeholders to translate business needs into actionable, high-performance AI solutions.
• Assess emerging AI technologies and vendors, leading technical evaluations to close capability gaps.

Qualifications & Skills

• Experience: 10+ years in enterprise/solution architecture, with 3+ years specifically in AI/ML, data platform architecture, or AI-driven application development.
• Technical Knowledge: Proficiency in Typescript / Python, SQL, cloud platforms (AWS, Azure, Google Cloud Platform), machine learning frameworks, data engineering, and containerization/orchestration.
• AI Specialization: Strong understanding of Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and Model Operations (MLOps).
• MCP server.Agent Platform: Knowledge of Langchain, Crew AI, Azure AI (at least one of them).
• Communication: Ability to articulate complex AI concepts to non-technical stakeholders and influence senior management.
• Frameworks: Knowledge of EA frameworks (TOGAF), ITIL/COBIT for governance, and Agile methodologies.

Pay

TBD

Schedule

TBD

Benefits

TBD