Solution Architect (DPO)

Job Summary

AWS Solutions Architect

ROLE OVERVIEW 

We are hiring a Principal AWS Solutions Architect at Band 4.1 to lead our most complex, high-value AWS engagements. This is a senior technical leadership role that sits at the intersection of cloud architecture, AI/ML platform design, and client advisory. You will be the pre-eminent AWS voice in your accounts — setting architectural direction, de-risking large-scale cloud transformations, and helping clients extract maximum business value from their AWS investment.

At Band 4.1, you are expected to influence beyond delivery: shaping HCLTech's AWS practice strategy, contributing to alliance deepening with AWS, mentoring a team of architects, and establishing HCLTech as the partner of choice for cloud-native AI in your industry verticals. You hold the technical trust of CTO and VP Engineering audiences, while remaining commercially grounded and outcome-focused.

Key Responsibilities

KEY RESPONSIBILITIES 

Enterprise Architecture & Technical Leadership

• Define and own end-to-end AWS cloud architecture for large-scale enterprise programmes: cloud migrations, application modernisation, data platforms, and AI/ML workloads
• Produce authoritative architecture artefacts: solution blueprints, HLDs/LLDs, ADRs (Architecture Decision Records), and cloud reference architectures
• Lead technical due diligence for complex client environments — legacy systems, hybrid clouds, multi-cloud estates
• Establish AWS Well-Architected Review cadences and drive remediation of findings across client accounts
• Define cloud landing zone and control-plane designs using AWS Control Tower, AWS Organizations, and Service Control Policies

AI/ML Platform Architecture on AWS

• Architect enterprise-grade AI/ML platforms on AWS: Amazon SageMaker, Bedrock, Kendra, Comprehend, and Rekognition
• Design GenAI and LLM deployment patterns on AWS — RAG architectures on Bedrock, fine-tuning pipelines, agentic frameworks via Bedrock Agents
• Define MLOps reference architectures: feature engineering on SageMaker Feature Store, model registry, CI/CD for ML models, and production monitoring
• Advise on cost-optimised GPU/Inferentia/Trainium compute strategies for large AI workloads
• Integrate AI services with enterprise data lakes (S3, Lake Formation, Glue) and real-time streaming (Kinesis, MSK)

Cloud Transformation & Migration

• Lead cloud strategy and migration factory design for large application portfolios — 6R assessment, wave planning, and cutover orchestration
• Architect cloud-native application re-platforming using containers (EKS, ECS), serverless (Lambda, Step Functions), and event-driven patterns
• Design hybrid and multi-cloud connectivity: AWS Direct Connect, Transit Gateway, SD-WAN integration
• Define FinOps guardrails: tagging strategy, cost allocation, Savings Plans, rightsizing recommendations, and showback models

Security, Compliance & Governance

• Design end-to-end AWS security architectures aligned to NIST, ISO 27001, SOC 2, GDPR, and industry-specific regulations (HIPAA, PCI-DSS)
• Architect zero-trust network designs using AWS Security Hub, GuardDuty, Macie, and IAM Identity Centre
• Define data residency and sovereignty controls for global clients with cross-border workload requirements
• Lead cloud governance framework design: policy-as-code (AWS Config Rules, SCPs), audit pipelines, and compliance dashboards

Client Advisory & Pre-Sales

• Act as the trusted technical advisor to CTO, VP Engineering, and Cloud COE leaders at strategic client accounts
• Lead cloud architecture workshops, executive briefings, and AWS Executive Briefing Centre (EBC) engagements
• Own technical responses for RFPs/RFQs — architect the solution, price the build, and present to client evaluation panels
• Identify and develop new service opportunities within existing accounts; support pursuit teams on new logo engagements

Practice & Alliance Development

• Drive HCLTech's AWS competency and specialisation growth — co-develop reference architectures and joint go-to-market assets with AWS
• Maintain and advance HCLTech's AWS Premier Partner standing through solution validations, APN programs, and specialisation audits
• Lead internal AWS CoE: define standards, architectural patterns, reusable IaC modules (Terraform, CDK), and accelerators
• Mentor Bands 2.x–3.x architects; conduct architecture reviews, 1:1 coaching, and certification drives
• Represent HCLTech at AWS re:Invent, AWS Summits, and industry cloud forums as a thought leader

Skill Requirements

  REQUIRED QUALIFICATIONS & EXPERIENCE 

Experience

• 15 – 20 years of total technology experience; 8+ years hands-on in AWS solution architecture and cloud delivery
• Proven track record of architecting and delivering AWS programmes at scale (multi-million dollar engagements, 500+ application migrations or AI/data platform builds)
• Prior experience at an AWS Partner, hyperscaler professional services arm, or enterprise cloud practice in a senior architect or director capacity
• Track record of revenue contribution: owning account technical strategy, growing accounts, and winning new business

AWS Technical Depth

• Expert-level proficiency across core AWS services: Compute (EC2, EKS, Lambda), Storage (S3, EBS, EFS), Networking (VPC, TGW, Direct Connect, Route 53), Database (RDS, Aurora, DynamoDB, Redshift), and Security (IAM, KMS, GuardDuty, Security Hub)
• Deep expertise in AWS AI/ML services: SageMaker (Studio, Pipelines, Feature Store, Clarify), Bedrock, Kendra, Lex, Comprehend, and Rekognition
• Proficiency in Infrastructure as Code: AWS CDK, CloudFormation, and Terraform at enterprise scale
• Strong data architecture skills: S3 data lake, Lake Formation, AWS Glue, Redshift, Athena, and Kinesis Data Streams/Firehose
• Experience with AWS DevOps toolchain: CodePipeline, CodeBuild, CodeDeploy, and integration with GitHub Actions / Jenkins
• Solid networking and security fundamentals: TCP/IP, TLS, zero-trust, VPN, BGP routing, and WAF/DDoS mitigation

Broader Technology Skills

• Strong Linux/Unix administration and scripting (Python, Bash, PowerShell)
• Proficiency in container and orchestration ecosystems: Docker, Kubernetes (EKS), Helm, and service mesh (Istio/App Mesh)
• Understanding of observability stacks: CloudWatch, OpenTelemetry, Prometheus, Grafana, and Datadog
• Exposure to multi-cloud patterns (Azure / GCP interoperability) and cloud-agnostic architecture principles

Consulting & Leadership Skills

• Exceptional executive communication: ability to translate architecture complexity into business impact for CXO audiences
• Strong commercial acumen — Total Cost of Ownership (TCO) modelling, FinOps, and pricing strategy for cloud proposals
• Demonstrated ability to lead cross-functional delivery squads and influence without direct authority
• Experience building and scaling technical communities of practice and CoE functions

Education & Certifications

• Bachelor's in Computer Science, Engineering, or related field (required); Master's or MBA preferred
• AWS certifications — the following are expected at Band 4.1:

Other Requirements