AGENTIC SOLUTION LEAD - Java

JOB DESCRIPTION

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 CoEs 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
• Strong 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, SAFe, 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 organisations 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 teams 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