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.
Lead enterprise AI system architecture strategy across the full Generative AI platform stack, defining technology standards, cloud design principles, and governance for AI platforms and shared services.
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; Master’s degree preferred.
Nice to have: Master’s degree
Skills
Lead Software Engineer - Enterprise AI Services & Agents
Lead Software Engineer on Wellmark’s Enterprise AI Services & Agents team, responsible for designing and delivering reusable enterprise assistants, agents, AI services, skills, and agentic workflows.
Responsibilities
Lead design and delivery of reusable enterprise assistants, agents, AI services, skills, and agentic workflows
Partner with engineers, customers, product leaders, architecture, security, and governance stakeholders to translate business needs into production-ready solutions
Help establish enterprise blueprints and engineering standards for assistants, agents, agentic workflows, and AI evaluation
Build reusable frameworks and components that reduce duplication and accelerate governed AI delivery
Translate business needs into technical designs and influence decisions across product, architecture, security, governance, and engineering teams
Requirements
Bachelor’s degree in Computer Science, MIS, or related field
Nice to have: AWS Certified Developer
Nice to have: AWS Certified Solutions Architect
Nice to have: AWS Certified Machine Learning Engineer
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Responsibilities
Design and build robust backend services in Java
Contribute to the design and evolution of distributed, event-driven systems
Develop and maintain shared libraries and internal tooling
Collaborate with product, operations, and engineering stakeholders
Integrate AI coding tools into daily development workflow
Requirements
B.Tech
B.E.
Master's Degree in Computer Science or related discipline
Lead architectural design and technical leadership for Salesforce and integrated enterprise systems, ensuring scalable, secure, and sustainable solutions across the platform.
Compensation
The salary range for this position is $170,000.00 - $200,000.00 per year, with a 10% potential bonus.
Responsibilities
Lead architecture and solution design for complex initiatives involving Salesforce and connected enterprise applications
Translate business requirements into end-to-end technical designs, including system interactions, data models, automation patterns, APIs, event flows, security, and operational considerations
Define scalable architecture patterns that balance business agility with platform stability, supportability, and maintainability
Conduct architecture reviews for high-impact enhancements, integrations, and strategic programs
Establish and maintain architecture standards, reference patterns, and design guardrails across Business Systems workstreams
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Nice to have: Salesforce certifications such as Application Architect, System Architect, Platform Developer
Nice to have: Experience with adjacent business platforms such as marketing automation, ERP, billing, support, data, or customer-facing systems
Nice to have: Experience with enterprise integration architecture
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Responsibilities
Design, build, and operate distributed platform services and APIs using Java and Python
Apply domain-oriented design and low-level design rigor to platform problems
Flex into data engineering work with Spark-based pipelines
Build AI, GenAI, and agentic-powered platform capabilities
Own platform reliability, scalability, and observability
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Lead design, build, and operate distributed platform services and APIs for Walmart’s AI & Data organization, driving technical direction and best practices as a Staff Engineer.
Responsibilities
Design, build, and operate distributed platform services and APIs using Java and Python
Apply domain-oriented design, system design, and low-level design rigor to ambiguous platform problems
Flex into data engineering work, contributing to Spark-based data pipelines
Build AI, GenAI, and agentic-powered platform capabilities
Own platform reliability, scalability, and observability
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
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