Senior AI Engineer (Architect) – Enterprise Business Process Automation

Title: Senior AI Engineer (Architect) - Enterprise Business Process AutomationLocation : Remote (EST business hours)Target Start Date : ASAPType: ContractPay Rate : $90.00-$110.00/hr (negotiable DOE) OverviewWe are seeking a Senior AI Engineer (Architect) to define and lead the enterprise strategy for AI-driven business process automation. This role is responsible for shaping the architecture, governance, and scalable adoption of AI technologies across core business functions, enabling intelligent, data-driven, and increasingly autonomous operations.As a senior technical leader, you will operate at the intersection of AI, data, and enterprise systems, guiding the organization in leveraging agentic AI, advanced analytics, and modern data platforms to transform end-to-end processes across manufacturing, supply chain, and corporate domains.Key ResponsibilitiesAI & Data Architecture LeadershipDefine 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.Enterprise Automation StrategyLead the identification and prioritization of high-value AI automation opportunities across key business domains:Sales & commercial operationsSupply chain, logistics, and inventoryFinance (P2P, O2C, R2R)HR and payrollDefine 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.Platform & Technology StrategyEvaluate and define the enterprise approach to AI platforms and tooling, including:Multi-cloud AI services (Azure, AWS, Google Cloud)Data platforms (Snowflake, Databricks, BigQuery)LLM frameworks and orchestration tools (LangChain, Semantic Kernel, etc.)Establish standards for model selection, orchestration, integration, and scalability.Guide build vs. buy decisions and ensure interoperability across the AI ecosystem.Data & Analytics EnablementEnsure AI solutions are built on a strong foundation of data architecture and governance, including:Data lakes, warehouses, and lakehouse modelsData quality, lineage, and accessibilityReal-time and batch data processingChampion 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.Governance, Risk & OperationalizationDefine 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.Leadership & InfluenceServe 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.Required Qualifications10-15+ 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 systemsEnterprise data platforms (data lakes, warehouses, lakehouse architectures)System integration and enterprise architecture patternsExperience 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.Nice to HaveExperience 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.).ImpactDefine and scale the organization’s enterprise AI and automation strategyTransform core business processes through intelligent, autonomous systemsEnable data-driven decision-making and operational excellence at scaleEstablish a foundation for long-term AI innovation and competitive advantageWelcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.