SENIOR ARCHITECT - Architecture and Technology Management

Happiest Minds Technologies

Madurai District

On-site

INR 3,000,000 - 6,000,000

Full time

9 days ago

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Job summary

Happiest Minds Technologies in Tamil Nadu is seeking an experienced Enterprise Architect to lead the technology charter for a key account, connecting customer needs with solutioning, delivery governance, incident management, and AI-enabled transformation.

You will bridge customer expectations, architecture decisions, and engineering execution, drive modernization, reliability, observability, and platform evolution, and mentor teams to build an AI-ready delivery model with reusable patterns and

Qualifications

  • Strong enterprise architecture and solutioning background.
  • Good understanding of modernization, reliability, security, and observability.
  • Experienced in AI-assisted engineering and innovation-driven delivery models.
  • Strong communication, risk management, and stakeholder management skills.

Responsibilities

  • Engage with customer stakeholders to understand product lines, priorities, challenges, and roadmap direction.
  • Support solutioning for new requirements, enhancements, and transformation opportunities.
  • Act as a trusted advisor for architecture, modernization, reliability, AI adoption, and platform evolution.
  • Drive value adds that improve customer outcomes, engineering efficiency, and platform maturity.
  • Provide leadership oversight for major incidents, recurring production issues, and service risks.
  • Guide triage, root cause direction, corrective actions, and preventive improvements.
  • Ensure incident learnings are converted into structural and operational improvements.
  • Review technical delivery across projects, support, maintenance, and enhancements within the account.
  • Ensure architecture, design, implementation, quality, and supportability are aligned with engineering standards.
  • Be part of new and existing account proposals, estimations, solution approach, and technical differentiators.
  • Identify delivery risks early and define mitigation plans across architecture, quality, dependencies, and operations.
  • Support talent development of architects, leads, engineers, QA, DevOps, and support teams through mentoring and technical guidance.
  • Build an AI-ready team by promoting responsible adoption of AI tools, copilots, code agents, and automation-led practices.
  • Encourage reusable patterns, knowledge sharing, engineering discipline, and continuous improvement.
  • Own the account R&D radar by tracking relevant technologies, practices, and innovation opportunities.
  • Convert R&D insights into practical value adds, pilots, accelerators, and modernization recommendations.
  • Define and uphold architecture principles, standards, patterns, and guardrails for the account.
  • Modern engineering, AI-assisted delivery, architecture thinking, and operational excellence across internal and customer forums.

Skills

Enterprise architecture
Solutioning
Delivery governance
AI-assisted engineering
Stakeholder management

Job description

Role: Enterprise Architect
Role Summary

Lead the overall technology charter for a given account by connecting customer needs, solutioning (thought leadership), delivery governance, incident management, team capability development, AI readiness, and innovation-led value creation. Act as the bridge between customer expectations, architecture decisions, engineering execution, and future-focused transformation.

Key Responsibilities
Customer & Technical Leadership
  • Engage with customer stakeholders to understand product lines, priorities, challenges, and roadmap direction.
  • Support solutioning for new requirements, enhancements, and transformation opportunities.
  • Act as a trusted advisor for architecture, modernization, reliability, AI adoption, and platform evolution.
  • Drive value adds that improve customer outcomes, engineering efficiency, and platform maturity.
Incident & Service Governance
  • Provide leadership oversight for major incidents, recurring production issues, and service risks.
  • Guide triage, root cause direction, corrective actions, and preventive improvements.
  • Ensure incident learnings are converted into structural and operational improvements.
Delivery Oversight
  • Review technical delivery across projects, support, maintenance, and enhancements within the account.
  • Ensure architecture, design, implementation, quality, and supportability are aligned with engineering standards.
  • Be part of new and existing account proposals, estimations, solution approach, and technical differentiators.
  • Identify delivery risks early and define mitigation plans across architecture, quality, dependencies, and operations.
Team & Capability Development
  • Support talent development of architects, leads, engineers, QA, DevOps, and support teams through mentoring and technical guidance.
  • Build an AI-ready team by promoting responsible adoption of AI tools, copilots, code agents, and automation-led practices.
  • Encourage reusable patterns, knowledge sharing, engineering discipline, and continuous improvement.
R&D & Architecture
  • Own the account R&D radar by tracking relevant technologies, practices, and innovation opportunities.
  • Convert R&D insights into practical value adds, pilots, accelerators, and modernization recommendations.
  • Define and uphold architecture principles, standards, patterns, and guardrails for the account.
  • Modern engineering, AI-assisted delivery, architecture thinking, and operational excellence across internal and customer forums.
Key Outcomes
  • Stronger customer trust and solution relevance
  • Improved delivery quality, architecture consistency, and support readiness
  • Better incident prevention and risk mitigation
  • Stronger proposals and account growth support
  • Higher team capability and AI readiness
  • Increased innovation conversion into measurable value
Skills & Experience Required
  • Strong enterprise architecture and solutioning background
  • Good understanding of modernization, support models, reliability, security, and observability
  • Experienced in AI-assisted engineering and innovation-driven delivery models
  • Strong communication, risk management, and stakeholder management skills
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