[Remote] Senior AI Engineer (Architect) – Enterprise Business Process Automation

Note: The job is a remote job and is open to candidates in USA. ConsultNet is seeking a Senior AI Engineer (Architect) to define and lead an enterprise strategy for AI-driven business process automation. The role shapes AI architecture, governance, and scalable adoption, and guides the use of AI, data platforms, and enterprise systems to transform business processes.

Responsibilities

• Define and own the enterprise AI architecture, including LLM-based systems, agentic AI frameworks, and decision intelligence platforms
• Establish reference architectures and design patterns for scalable AI solutions (e.g., RAG, multi-agent systems, knowledge-driven AI)
• Architect integration between AI systems, enterprise applications, and data platforms (data lakes, warehouses, lakehouses)
• Drive alignment of AI initiatives with enterprise data strategy, governance, and analytics frameworks
• Lead the identification and prioritization of high-value AI automation opportunities across key business domains:
• Define how agentic AI and intelligent workflows can re-architect business processes—not just optimize them
• Partner with executive and functional leaders to align AI initiatives with business outcomes, ROI, and transformation goals
• Evaluate and define the enterprise approach to AI platforms and tooling, including:
• Establish standards for model selection, orchestration, integration, and scalability
• Guide build vs. buy decisions and ensure interoperability across the AI ecosystem
• Ensure AI solutions are built on a strong foundation of data architecture and governance, including:
• Champion the use of AI to enhance enterprise analytics, forecasting, and decision support
• Drive convergence of AI, BI, and advanced analytics into unified decision intelligence capabilities
• Define and implement AI governance frameworks, including responsible AI, security, compliance, and model risk management
• Establish enterprise standards for MLOps/LLMOps, monitoring, observability, and lifecycle management
• Ensure AI systems are scalable, secure, auditable, and aligned with regulatory requirements
• Serve as a thought leader and advisor to senior leadership on AI strategy, capabilities, and roadmap
• Mentor engineering teams and influence adoption of AI-first and data-driven practices across the organization
• Foster collaboration across IT, Engineering, Data, and Business functions to ensure successful execution of AI initiatives

Skills

• 10-15 years of experience in software engineering, data engineering, or enterprise architecture , with significant focus on AI/ML solutions
• Proven track record defining and delivering enterprise-scale AI and automation strategies
• Deep expertise in:
• AI/ML architectures , including LLMs, RAG, and agentic systems
• Enterprise data platforms (data lakes, warehouses, lakehouse architectures)
• System integration and enterprise architecture patterns
• Experience across multi-cloud AI ecosystems and platforms , including Microsoft (Copilot, Azure AI), AWS, Google Cloud , and modern data platforms ( Snowflake, Databricks, etc. )
• Strong understanding of business process architecture and enterprise systems (ERP, CRM, MES, HRIS)
• Experience establishing governance, MLOps/LLMOps frameworks, and scalable AI platforms
• Ability to translate business strategy into technical architecture and execution roadmaps
• Experience in manufacturing, supply chain, or industrial environments
• Familiarity with IoT/edge data, real-time analytics, and operational systems
• Background in digital transformation, process re-engineering, or enterprise architecture (TOGAF, etc.)

Company Overview

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