Solution Director

HCL Technologies Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HCLTech in Bengaluru is seeking a senior Java Solution Architect with a hands-on mindset to lead enterprise-scale architecture across clients, CXOs, and delivery teams. You will shape solution blueprints using Java/J2EE, Spring Boot, microservices, API-first and cloud-native patterns on AWS, Azure, and GCP, while guiding modernization and AI-enabled initiatives in financial services domains.

Expect to drive RFPs, mentor architects, and stay at the forefront of Generative AI, agentic AI, and

Qualifications

• 20+ years of software engineering and leadership experience.
• Strong hands-on Java/J2EE, Spring Boot, APIs, microservices.
• Extensive enterprise integration and modernization experience.

Responsibilities

• Lead end-to-end solution architecture for enterprise-scale apps.
• Define blueprints, roadmaps, and technical strategies balancing value, risk, cost, and maintainability.
• Translate business problems into scalable, secure technology solutions.
• Establish architecture standards, governance, and design patterns.
• Design microservices with Java/J2EE, Spring Boot, APIs, and integration frameworks.
• Architect cloud-native solutions across AWS, Azure, and GCP.
• Drive modernization, cloud migration, and legacy integration initiatives.
• Contribute to RFP/RFI responses and solution narratives.
• Lead customer workshops and executive discussions; mentor architects and teams.

Skills

Java/J2EE

Spring Boot

REST APIs

SOAP/Web Services

Design Patterns

Performance Optimization

Cloud-Native

Generative AI

Agentic AI

Stakeholder Management

Tools

AWS

Azure

GCP

API Management

CI/CD

Job description

Band: E6.1

Experience: 20+ Years

Role Summary

We are seeking a senior, hands-on Java Solution Architect with a strong solutioning mindset, deep technical credibility, and the ability to operate confidently across clients, senior management, architects, and engineering teams. The candidate must be equally comfortable shaping enterprise-level architecture, discussing strategy with CXO and senior stakeholders, and going deep into low-level design, code-level decisions, integration patterns, performance, security, and implementation trade-offs.

This role requires a forward-thinking technology leader who can design scalable Java, cloud, integration, and AI-enabled solutions while also leading teams through delivery. The ideal candidate will bring strong Java/J2EE and Spring Boot experience, practical exposure to AWS, Azure, and GCP, good domain affinity, and the ability to articulate solution relevance within a chosen business domain, preferably Financial Services. The candidate should also contribute effectively to RFP and solution responses and demonstrate the learning agility to continuously evaluate, adopt, and guide teams on emerging technologies including Generative AI and Agentic AI.

Key Responsibilities

• Lead end-to-end solution architecture for enterprise-scale applications, modernization programs, and digital transformation initiatives.
• Define solution blueprints, architecture roadmaps, and technical strategies that balance business value, delivery feasibility, risk, cost, scalability, and long-term maintainability.
• Translate complex business problems into pragmatic, scalable, secure, and high-performance technology solutions.
• Establish architecture standards, design principles, and governance processes.
• Technology Leadership
• Design and review microservices-based architectures using Java/J2EE, Spring Boot, APIs, messaging, event-driven patterns, and enterprise integration frameworks.
• Lead API-first, event-driven, and integration-centric architectures.
• Define system integration patterns across enterprise applications, third-party platforms, SaaS solutions, and legacy systems.
• Guide engineering teams on design patterns, coding standards, low-level design, code quality, performance tuning, security practices, and technical troubleshooting.
• Architect cloud-native solutions across AWS, Azure, and GCP.
• Drive application modernization, migration, cloud transformation, and legacy integration initiatives with a practical delivery-oriented approach.
• Design highly available, scalable, and secure solutions leveraging cloud services and container platforms.
• Design and architect Generative AI and Agentic AI-based enterprise solutions.
• Evaluate and integrate LLMs, AI orchestration frameworks, vector databases, and intelligent automation capabilities.
• Stay current with emerging technologies, assess their practical relevance, and guide responsible adoption across client engagements.
• Develop proof-of-concepts and architecture patterns for AI-enabled business solutions.
• Participate in RFP, RFI, and solution response activities.
• Prepare compelling technical proposals, solution narratives, effort estimates, architecture diagrams, assumptions, risks, and delivery approaches.
• Lead customer workshops, discovery sessions, technical deep dives, executive discussions, and solution demonstrations.
• Collaborate with sales, delivery, and practice teams in winning new business.
• Stakeholder Management
• Engage effectively with clients, senior management, enterprise architects, business stakeholders, delivery leaders, and engineering teams.
• Present architecture recommendations, solution options, trade-offs, risks, and technology strategies clearly to executive and technical audiences.
• Lead, mentor, and coach architects, technical leads, and development teams to improve engineering quality and delivery outcomes.
• Demonstrate sufficient domain understanding to connect technology choices with business outcomes, preferably within Financial Services, banking, capital markets, wealth, payments, or insurance contexts.

Skill Requirements

Required Technical Skills

Core Technologies

• Java/J2EE
• Spring Boot
• REST APIs
• SOAP/Web Services
• Design Patterns
• Performance Optimization

Integration Technologies

• API Management
• Service-Oriented Architecture (SOA)
• AWS
• CI/CD & DevOps Practices

AI Technologies

• Generative AI
• Agentic AI
• LLM-based Solution Architecture
• LangChain / LangGraph
• Prompt Engineering

Required Experience

• 20+ years of experience across software engineering, technical leadership, solution architecture, and client-facing delivery roles.
• Strong hands-on expertise in Java/J2EE, Spring Boot, APIs, microservices, integration, troubleshooting, and low-level technical design.
• Extensive experience in enterprise system integration and modernization.
• Demonstrated experience in cloud migration and cloud-native architecture.
• Experience participating in and leading RFP/RFI solution responses.
• Strong customer-facing consulting experience with the ability to influence clients, senior stakeholders, delivery teams, and engineering teams.
• Good domain affinity with the ability to articulate business context, industry drivers, functional considerations, and technology relevance within a chosen domain, preferably Financial Services.

Qualifications:

Other Requirements

Preferred Certifications

• AWS Certified Solutions Architect
• Google Professional Cloud Architect
• TOGAF Certification
• Generative AI / AI Architecture Certifications
• Java Architect Certifications (SCEA or equivalent)
• Strong solutioning mindset with the ability to convert ambiguity into practical architecture options.
• Ability to operate across high-level enterprise architecture and low-level engineering detail.
• Client handling, senior stakeholder management, and executive communication.
• Technical depth, engineering discipline, and strong problem-solving ability.
• Forward-thinking mindset with curiosity, learning agility, and continuous improvement orientation.
• Architecture governance, design authority, and pragmatic decision-making.
• Team leadership, mentoring, coaching, and capability building.
• Domain articulation, preferably in Financial Services, with the ability to explain how architecture decisions support business capability, regulatory expectations, customer experience, risk management, and operational efficiency.

Ideal Candidate Profile

The ideal candidate is a seasoned, hands-on architect who combines solution mindset, technical depth, client maturity, domain affinity, and leadership presence. The individual should be able to engage senior management and clients with confidence, guide enterprise architecture direction, challenge and refine technical decisions, go deep into low-level implementation details when required, and lead teams toward high-quality delivery. The candidate should be able to articulate technology solutions in the context of a chosen business domain, preferably Financial Services, and explain how architecture choices support business capability, regulatory expectations, risk management, customer experience, and operational efficiency. The person must be forward thinking, curious, adaptable, and committed to continuous learning and improvement.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.