Solution Architect - AWS

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.

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

• Manage the team of Solution Architects and the respective Solution Design teams in completing the agreed solution modules/projects for the client as per the requirements.
• Continuously update oneself with a strong design foundation in RPA and an in-depth understanding of methodologies and technologies.
• Be solely accountable for all aspects of the research and design facets of the RPA solution development process.
• Ensure that all tools and automation support are facilitated after delivery according to the established automation support model.
• Review all suggested RPA solutions and alternatives for given client requirements.

SKILL REQUIREMENTS

REQUIRED QUALIFICATIONS & EXPERIENCE

Experience

• 15–20 years of total technology experience; 8+ years of hands-on experience in AWS solution architecture and cloud delivery.

• Proven track record of architecting and delivering AWS programs 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 through 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:

Required

• AWS Certified Solutions Architect – Professional
• AWS Certified DevOps Engineer – Professional
• AWS Certified Solutions Architect – Associate

Preferred / Differentiating

• AWS Certified Machine Learning – Specialty
• AWS Certified Security – Specialty
• AWS Certified Data Engineer – Associate
• TOGAF / Zachman / SABSA (architecture frameworks)

(minimum 3 AWS certs required)

Must Have Skills

AWS AI/ML (GenAI)AWS AI/ML (GenAI)