This position will:
- Lead the architectural design and strategic planning for Gen AI/Agentic AI solutions, integrating AWS data engineering and Azure OpenAI LLMs
- Serve as the primary technical authority and decision-maker for AI solution design and delivery
- Ensure all solutions align with organizational goals, scalability, and best practices in data engineering and AI
- Collaborate cross-functionally with business stakeholders, product owners, and technical teams to translate requirements into technical solutions
- Maintain up-to-date knowledge of advancements in cloud platforms, AI/ML, and HR technology trends
- Champion security, privacy, and compliance standards throughout the solution lifecycle
- Coordinate closely with ServiceNow and Workday teams to ensure seamless integration of AI solutions with the virtual assistant and HR workflows
Responsibilities:
- Define integration requirements and data exchange protocols for connecting Gen AI/Agentic AI solutions with ServiceNow, Workday and other HR solutions while respecting boundaries of responsibility Design end-to-end technical architectures for HR AI use cases, specifying data flow, integration, and security modelsOversee the development and optimization of AWS-based data pipelines, ensuring efficient ingestion, transformation, and storage of HR dataArchitect seamless integration between AWS data sources and Azure OpenAI LLMs, defining API contracts and data exchange protocolsEstablish standards for model deployment, monitoring, and lifecycle management, including versioning and rollback strategiesDefine and enforce data governance, security, and compliance requirements, including role-based access and data encryptionLead technical reviews, provide mentorship to engineering and data science teams, and ensure adherence to architectural guidelinesEvaluate and recommend tools, frameworks, and platforms to enhance solution capabilities and maintainabilityTroubleshoot complex technical issues, perform root cause analysis, and drive continuous improvement in system performance and reliabilityWork with ServiceNow and Workday teams to understand integration points, data flows, and system constraints, ensuring AI components fit seamlessly into the broader HR technology ecosystem
Qualifications:
Support integration testing and validation efforts involving ServiceNow, Workday and other HR solutions, collaborating with respective teams as needed
Education:
Bachelor s or Master s degree in Computer Science, Engineering, or a related field
Experience:
8+ years of experience in software architecture, with at least 3 years focused on AI/ML solutions
Required Qualifications:
- Deep expertise in AWS data engineering services (e.g., S3, Glue, Redshift, Lambda) and data pipeline design.
- Demonstrated experience integrating and deploying LLMs, preferably with Azure OpenAI.
- Strong understanding of API design, microservices architecture, and cloud integration patterns.
- Proven track record of leading cross-functional teams and delivering complex technical projects.
- Experience with security, privacy, and compliance in cloud and AI environments.
- Experience working in environments with multiple platform teams, and ability to define clear integration boundaries and collaboration models
Preferred Qualifications:
- Certifications in AWS (e.g., Solutions Architect) or Azure (e.g., AI Engineer)Experience with HR systems (e.g., Workday) and enterprise SaaS integrations Familiarity with Gen AI frameworks such as LangChain or LlamaIndex Knowledge of MLOps best practices and tools for model deployment and monitoring Strong analytical, problem-solving, and communication skills Experience with agile methodologies and DevOps practices Familiarity with ServiceNow platform concepts and Workday HR workflows is a plus
