Architect / Senior Technical Lead | C5 Centre of Excellence ? AI Productivity Job Title Architect / Sr.

Technical Lead Competency

Level C5 Team CoE ? AI Productivity Min.

Experience 12 Years About the Role We are seeking a seasoned Architect or Senior Technical Lead to join the Centre of Excellence ? AI Productivity team. At C5, you operate at the intersection of strategic technical vision and hands-on engineering leadership.

You are responsible for defining solution architecture, driving engineering excellence across multiple teams or workstreams, and ensuring that the overall technical direction aligns with business and product goals. You bring deep expertise in full-stack development, cloud-native architecture, and a strong ability to evaluate and adopt emerging technologies ? including GenAI capabilities. You are a trusted advisor to both engineering teams and senior client stakeholders, comfortable presenting architectural strategies to executive audiences and defending technical decisions with clarity and confidence.

This is a highly visible role. You will shape the technical identity of the CoE, mentor leads and senior developers, and be a key voice in how AI-driven productivity is engineered and delivered.

Key Responsibilities Architecture & Technical Strategy Define and own solution architecture for enterprise-grade, AI-integrated applications

Establish architectural patterns, standards, and guardrails across teams and projects

Drive technology selection decisions with well-reasoned trade-off analysis

Lead proof-of-concept (PoC) initiatives to validate architectural choices and de-risk delivery

Ensure non-functional requirements ? scalability, security, performance, and resilience ? are embedded in every design Engineering Leadership & Mentoring Provide technical leadership across multiple squads or delivery workstreams simultaneously

Mentor Technical Leads, Module Leads, and Senior Developers on architecture thinking and engineering maturity

Review and approve high-level designs (HLD) and provide critical input into low-level designs (LLD)

Identify and address systemic engineering issues such as tech debt, scalability bottlenecks, or process gaps Client Engagement & Stakeholder Communication Present architectural proposals and technical strategies to client leadership and C-suite stakeholders

Lead solution design workshops, architecture review boards, and technical discovery sessions

Translate complex architectural concepts into business-oriented language for non-technical audiences

Act as a senior technical point of contact for client engagements, RFPs, and pre-sales discussions GenAI & Innovation Leadership Lead the CoE?s evaluation and adoption of GenAI tools,



LLM-based capabilities, and AI productivity frameworks

Define best practices for prompt engineering, AI-assisted development, and responsible AI usage within engineering teams

Drive R&D; initiatives to validate GenAI applicability in product features and developer tooling

Mandatory Skills

All items below are non-negotiable requirements for this role. Architecture & Engineering Depth 12+ years of software engineering experience with a minimum of 5 years in architecture or senior technical leadership roles

Deep expertise in backend platform ?Java (Spring Boot, microservices)

Strong full-stack understanding ? frontend architecture (React/Angular), API design, data modelling, and integration patterns

Proven experience designing microservices, event-driven, and distributed architectures at scale

Mastery of software design principles ? SOLID, DDD, CQRS, Event Sourcing, and architectural patterns Hands-On GenAI Tool Usage (CRITICAL) Proven ability to leverage AI coding assistants ?

Claude

Code, Cursor AI, or GitHub Copilot ? as an active part of the development and architecture workflow, including code generation, design validation, refactoring, and API integration, with sound judgement in reviewing AI-assisted output and the ability to set standards for responsible AI tool usage across the team.

Cloud

Architecture ? At Least ONE Platform (Deep Expertise) AWS ? Well-Architected Framework, Lambda, ECS/EKS, RDS, API Gateway, IAM, CloudFormation

Azure ?

Azure Architecture

Centre, AKS, Azure Functions, Azure AI Services, DevOps, Bicep/ARM

Experience designing for cloud-native principles ? auto-scaling, fault tolerance, cost optimisation, and security Communication & Client-Facing Skills (CRITICAL) Excellent written and verbal communication ? able to produce and present architecture documents, RFP responses, and strategy papers

Solid client-facing presentation skills ? experienced presenting to CTO, VP Engineering, and business leadership audiences

Demonstrated ability to lead technical discovery sessions, workshops, and architecture review boards

Required Technical Skills DevOps & Platform Engineering Experience with infrastructure-as-code ? Terraform, CloudFormation, or Bicep

Deep understanding of CI/CD pipeline design, release strategies, and deployment patterns

Familiarity with Kubernetes,



container orchestration, and observability tooling Agile & Delivery Practices Experience leading Agile delivery at programme or multi-team level ? Scrum, Secure, or Kanban

Ability to drive estimation, capacity planning, and risk management at the workstream level GenAI & AI Productivity Practical understanding of Large Language Models ? capabilities, limitations, and enterprise integration patterns

Hands-on experience designing systems that incorporate LLM APIs, vector databases, or AI agent workflows

Awareness of responsible AI principles, cost implications, and governance in enterprise AI adoption

Preferred Qualifications

AWS Solutions Architect Professional or Azure Solutions Architect Expert certification

Experience with platform engineering, developer experience (DevEx) initiatives, or internal tooling platforms

Background in pre-sales ? solution design, effort estimation, and proposal presentations

Exposure to ML/AI model deployment, MLOps, or data engineering in a product context

Experience leading or building a Centre of Excellence or shared services engineering team

Technology Landscape Area Technologies Backend Java / Spring Boot Frontend React | Angular | TypeScript | HTML5 / CSS3 Cloud AWS (Lambda, ECS/EKS, RDS, CloudFormation) | Azure (AKS, Functions, AI Services, Bicep) AI & GenAI LLMs | Prompt Engineering | Claude Code | Cursor AI | GitHub Copilot | Azure OpenAI | AWS Bedrock DevOps Docker | Kubernetes | Terraform | GitHub Actions | Azure DevOps | Jenkins Data SQL Server | PostgreSQL | MongoDB | Redis | Vector DBs (Pinecone, pgvector) Tools VS Code | IntelliJ | Postman | Jira | Confluence | Architecture tools C5 Competency Expectations At C5, you are a strategic engineering leader who shapes technical direction, influences multiple teams, and represents the organisation?s engineering capability to clients and partners.

Dimension Expected Behaviour Architectural Vision

Defines scalable, future-proof architectures aligned with business goals across multiple programmes Technical Authority Recognised as the go-to technical decision-maker; challenges assumptions and drives quality standards Leadership Breadth Leads and mentors across multiple teams; elevates the engineering culture of the CoE Client Influence Shapes client technical strategy; trusted advisor at CTO and VP level GenAI Leadership Drives the team?s AI productivity strategy; sets standards for responsible, effective AI adoption Innovation Impact Introduces frameworks, tools, or architectural patterns that create measurable, lasting improvement Happiest Minds Technologies ? CoE ? AI Productivity ?

Confidential

Gen AI, Java, Angular, React JS

📌 AGENTIC SOLUTION LEAD - Java (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru