Hiring: HR Solution Architect

Location: Gurugram, India

Work Model: Hybrid

Employment Type: Permanent

Role Overview

We are looking for an experienced HR Solution Architect to bridge HR strategy, business processes, employee experience and enterprise technology architecture.

The ideal candidate will translate complex HR business requirements into scalable, secure and effective technology solutions. This role requires a problem-first approach, evaluating multiple solution options across HR platforms, process redesign, enterprise integrations, automation and AI-enabled solutions.

You will work closely with HR leadership, enterprise architects, technology teams, data, security and business stakeholders to define solution strategies, architecture roadmaps and technology recommendations that deliver measurable business value.

The role requires a combination of strong HR technology knowledge, enterprise solutioning capabilities, integration architecture understanding and awareness of emerging AI capabilities.

Key Responsibilities

1. HR Solution Architecture & Process Design

- Lead business discovery, requirement assessment, process mapping and solution design engagements.
- Evaluate existing HR processes and identify opportunities for simplification, digitisation and automation.
- Design end-to-end HR workflows covering recruitment, onboarding, core HR, employee services, performance, learning, compensation and workforce management.
- Evaluate technology options based on business value, scalability, complexity, security, cost and long-term sustainability.
- Develop solution blueprints, architecture recommendations, business cases and design documentation.

2. HR Technology & AI Solutioning

- Evaluate opportunities to leverage AI, Generative AI, intelligent automation and AI agents across HR processes.
- Assess whether business requirements are best addressed through existing HCM platforms, enterprise AI solutions, third-party tools, custom applications or hybrid approaches.
- Contribute to the design of AI-enabled HR assistants, conversational solutions, intelligent workflows and agent-based applications.
- Define proof-of-concept approaches, success measures, validation criteria and deployment considerations.
- Ensure appropriate human oversight, escalation mechanisms and accountability in AI-enabled HR workflows.

3. Enterprise Integration & Architecture

- Define integration approaches across HR applications, enterprise platforms, APIs, data services and automation solutions.
- Provide architectural guidance on REST APIs, event-driven integrations, middleware, data pipelines and system interoperability.
- Promote reusable integration patterns and scalable architecture while reducing fragmented systems and point-to-point dependencies.




- Partner with enterprise, cloud, security, data and infrastructure architects to ensure alignment with technology standards.
- Contribute to architecture reviews, solution governance and technical decision-making.

4. HR Data Governance & Responsible AI

- Ensure employee and candidate data is handled securely and in accordance with privacy, compliance and regulatory requirements.
- Incorporate data protection, access controls, data minimisation, retention, auditability and transparency into solution designs.
- Evaluate AI-related risks such as bias, inaccurate outputs, confidentiality, explainability and inappropriate automation.
- Ensure human review and appropriate controls for sensitive HR decisions involving recruitment, compensation, performance and employee matters.
- Collaborate with HR, IT, Cyber Security, Legal, Risk and Data Governance teams.

5. Stakeholder Management & Technology Roadmaps

- Work closely with HR leaders, business stakeholders, product managers, technology teams and external vendors.
- Translate business challenges and technical architecture decisions into transparent recommendations for senior stakeholders.
- Lead solution workshops, design discussions and cross-functional alignment sessions.
- Develop current-state and future-state architecture roadmaps aligned with HR and enterprise technology strategy.
- Identify opportunities to simplify the HR technology landscape, improve employee experience and increase operational efficiency.

Required Skills & Experience

Experience & Education

- 12+ years of experience in HR technology, enterprise technology, solution architecture, product management, technical consulting or a related field.
- At least 7 years of experience in solution architecture, technical roadmaps, enterprise solution design or cross-platform technology strategy.
- Bachelor's degree in Engineering, Computer Science, Information Technology or a related discipline. Relevant equivalent experience may also be considered.

HR Technology & Functional Expertise

- Strong understanding of end-to-end HR processes, including Talent Acquisition, Onboarding, Core HCM, Workforce Management, Performance Management, Learning, Compensation and Employee Services.
- Experience with HR technology transformation, HRIS implementations, process redesign and enterprise HR platforms.




- Ability to identify business and process challenges before recommending technology solutions.

Solution & Integration Architecture

- Strong understanding of enterprise solution architecture, cloud platforms, APIs, integration patterns and data architecture fundamentals.
- Exposure to REST APIs, event-driven architecture, middleware, data pipelines, identity management and security principles.
- Ability to develop conceptual and logical solution architectures and assess technical trade-offs.
- Understanding of Agile, DevOps, prototyping and software development lifecycle practices.

AI, Automation & Responsible AI

- Practical understanding of Generative AI, LLM-based applications, AI agents, intelligent automation and enterprise AI platforms.
- Familiarity with AI orchestration, conversational solution design, prompt engineering or agent interoperability.
- Understanding of Responsible AI principles, including fairness, bias mitigation, reliability, transparency, explainability, privacy and human oversight.
- Ability to assess AI use cases and identify appropriate governance, controls and monitoring requirements.

Stakeholder & Consulting Skills

- Excellent communication, presentation, problem-solving and stakeholder management skills.
- Ability to engage confidently with senior HR and IT leaders and communicate complex technical concepts in business language.
- Strong consulting, facilitation, negotiation and influencing skills.

Preferred Qualifications

- Experience with HR platforms such as SAP SuccessFactors, Workday, ServiceNow HRSD, UKG, Phenom or similar enterprise solutions.
- Exposure to enterprise architecture and application portfolio management tools such as LeanIX.
- TOGAF or equivalent enterprise architecture certification.
- Experience with AI agent orchestration frameworks, conversational AI or enterprise AI solution design.
- Familiarity with enterprise data platforms and HR data governance.

What Success Looks Like

- Business problems are clearly understood and process improvements are considered before technology selection.
- HR technology recommendations are scalable, secure, cost-effective and aligned with enterprise architecture.
- AI-enabled HR solutions are designed with appropriate governance, transparency and human oversight.
- HR applications, integrations, data services and AI capabilities work together as a connected ecosystem.
- Architecture recommendations enable informed decisions and measurable improvements in employee experience and HR operations.

Additional Information

- Primary work location: Gurugram, India.
- Work model: Hybrid.
- Working hours: Regular business hours, with flexibility to collaborate with global stakeholders across time zones.
- Travel: Occasional travel may be required.

📌 HR Solution Architect (Gurugram)
🏢 Nameless
📍 Gurugram