Senior Engineer on the Owned Brands team, leading design and delivery of scalable, full-stack capabilities for Target’s sourcing and merchandising workflows.
Compensation
The pay range is $98,000.00 - $176,000.00
Responsibilities
Design and deliver scalable full-stack capabilities
Build sophisticated web experiences using React and TypeScript
Establish reusable front-end patterns and design systems
Build backend services using Java/Kotlin, Spring Boot, Kafka, PostgreSQL and MongoDB
Implement integrations across PLM, merchandising, sourcing and related systems using REST, GraphQL and event-driven patterns
Lead architecture for enterprise AI portfolio, driving design, governance, and deployment of AI solutions in a regulated financial services environment.
Locations (2)
Fort Mill, South Carolina, United States
Charlotte, North Carolina, United States
Compensation
$155,942.00 - $259,869.00
Responsibilities
Define and evolve reference architectures for AI-enabled applications
Establish governance and engineering patterns for AI product lifecycle
Architect intent routing, context assembly, and delegation between agents and domain services
Define experience architecture with product and UX partners
Partner on non-functional requirements such as availability, deployment strategy, capacity, performance testing, and disaster recovery
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field
Lead assessment and scoring workshops across ServiceNow-led, Salesforce-led and hybrid cloud-native options, including demos, scenario walkthroughs and stakeholder sessions.
Lead enterprise AI architecture for LPL Financial’s AI portfolio, defining governance, security, and operational standards across the AI product lifecycle.
Compensation
Pay Range: $155,942.00 - $259,869.00
Responsibilities
Define and drive architecture for enterprise AI portfolio
Establish governance and engineering patterns for AI product development lifecycle
Architect AI solution and platform architecture for user-facing workspaces and agent runtimes
Define patterns for durable user work and integration into existing web platforms
Architect intent routing, context assembly, and delegation between agents and domain services
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field
Nice to have: AWS (EKS, Amazon Bedrock, API Gateway, IAM, PostgreSQL, DynamoDB, S3)
Nice to have: AI gateways and OpenAI-compatible inference APIs
Nice to have: Agent protocols and frameworks (tool calling, MCP, A2A, multi-agent orchestration, embeddings, vector search)
Nice to have: Financial services or highly regulated domains experience
Shaping Donaldson's enterprise technology future, focusing on ERP platforms, enterprise applications, integrations, and cloud technologies across a global manufacturing company.
Responsibilities
Define the architecture direction and roadmap for ERP and related enterprise applications
Establish reusable architecture patterns and guide decisions around configuration, customization, integration, and process change
Partner with business leaders and Business Relationship Managers to translate business needs into scalable technology solutions
Lead architecture across initiatives involving manufacturing, supply chain, finance, sales, service, and master data
Design and guide integrations between ERP, enterprise applications, data platforms, and cloud services
Lead enterprise AI system architecture strategy across the full Generative AI platform stack, requiring deep expertise in Generative AI, platform engineering, and scalable cloud architectures.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline
Lead enterprise AI system architecture strategy across the full Generative AI platform stack.
Compensation
Salary Range: $120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
The base compensation range for this role in the posted location is: $109,180 - 197,175.
Responsibilities
Lead assessment and scoring workshops across ServiceNow-led, Salesforce-led and hybrid cloud-native options, including demos, scenario walkthroughs and stakeholder sessions.
Set the evaluation criteria across functional fit, architecture, AI, implementation, financials and strategic alignment.
Produce weighted scorecards with clear recommendations, risks, trade-offs and a business case executives can act on.
Assess mobile field-service options: Salesforce Field Service, ServiceNow FSM and Neuron7.
Design reference architectures covering service models, integration patterns and security controls.
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead business and technology transformation initiatives from strategy through execution and value realization.
Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies.
Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains.
Align business objectives, operating models, and technology solutions to drive measurable outcomes.
Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders.
Requirements
Bachelor’s degree in Computer Science, Engineering, Business, or a related field
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