The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. 

Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. 

Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. 

This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. 

Key Responsibilities 

People Technology Strategy & Innovation 

• Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities.  

• Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions.  

• Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations.  

• Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities.  

• Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments.  

AI, Automation & Agile Solution Delivery 

• Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities.  

• Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments.  

• Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development.  

• Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability.  

• Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight.  

• Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems.  

• Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop.  

Partnership & Enterprise Collaboration 

• Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes.  

• Connect PTS strategy and use cases with the broader IT technology strategy, identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions.  

• Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture.  

• Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries.  

• Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards.  

Influence, Adoption & Practice Development 

• Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action.  

• Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required.  

• Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration.  

• Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices.  

• Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery.  

• Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support.  

• Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work.  

Required Qualifications 

• 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions.  

• Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches.  

• Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation.  

• Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations.  

• Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority.  

• Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions.  

• Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information.  

• Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value.  

• Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes.  

• Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution.  

Preferred Qualifications 

• Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment.  

• Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks.  

• Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities.  

• Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions.  

• Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information.  

• Experience with AI-assisted software development and coding agents (e.g., Codex).  

• Experience with enterprise service management and workflow platforms (e.g., ServiceNow).  

• Experience with enterprise AI agent or conversational platforms (e.g., Moveworks).  

• Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate).  

• Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions.  

Profile 

The successful candidate will: 

• Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority.  

• Maintain a strong bias for action and learning, using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity.  

• Remain hands-on, moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems.  

• Build a practice, not a dependency, increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution.  

• Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery.  

• Be technology curious, but not technology led, embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome.  

• Understand People Technology, recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements.  

• Be a multiplier, with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS.