Solutions Architect

P99SOFT; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

P99Soft is seeking an experienced Solution Architect to lead customer solutioning, designing scalable architectures across Cloud, AI/GenAI, Data, and SaaS platforms. You will drive cloud-native transformations, mentor engineering teams, and collaborate with Sales and Delivery to translate business challenges into innovative technology solutions.

The role requires strong technical leadership and 8+ years in software or cloud architecture; AWS certifications are preferred.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or a related field.
• AWS Certifications (Solutions Architect Associate/Professional) preferred.
• 8+ years of experience in software engineering, cloud architecture, or solution architecture roles.
• Proven experience designing and delivering enterprise-scale cloud and SaaS solutions.

Responsibilities

• Understand customer objectives and translate into scalable technology solutions.
• Design end-to-end architectures across Cloud, AI, Data, and SaaS platforms.
• Define integration strategies, security frameworks, scalability models, and deployment architectures.
• Develop architecture diagrams, proposals, and solution documentation.
• Conduct discovery workshops and architectural assessments with customers.
• Recommend modernization and digital transformation strategies.
• Perform effort estimation, feasibility analysis, and risk assessments.
• Support pre-sales activities, solution demonstrations, and technical discussions.
• Identify opportunities for Cloud, AI, Data, and SaaS service expansion.

Skills

AWS Well-Architected

EC2/Lambda

API Gateway

Data Lakes

Snowflake

GenAI

RAG

SaaS architectures

DevSecOps

Security frameworks

Education

Bachelor's in CS/IT/Engineering

AWS Solutions Architect cert

Tools

Docker

Terraform

CloudFormation

Kubernetes

Job description

P99Soft is seeking an experienced Solution Architect with deep expertise in Cloud, AI/GenAI, Data, and SaaS platforms. The ideal candidate will lead customer solutioning initiatives, design scalable enterprise architectures, drive cloud-native and AI-first transformations, and collaborate closely with Sales, Engineering, and Delivery teams. This role requires strong technical leadership, customer-facing consulting experience, and the ability to translate complex business challenges into innovative technology solutions.

Key Responsibilities

• Understand customer business objectives and translate them into scalable technology solutions.
• Design end-to-end architectures across Cloud, AI, Data, and SaaS platforms.
• Define integration strategies, security frameworks, scalability models, and deployment architectures.
• Develop architecture diagrams, technical proposals, and solution documentation.
• Conduct discovery workshops and architectural assessments with customers.
• Recommend modernization and digital transformation strategies.
• Perform effort estimation, technical feasibility analysis, and risk assessments.
• Support pre-sales activities, solution demonstrations, and technical discussions.
• Identify opportunities for Cloud, AI, Data, and SaaS service expansion.

Technical Leadership

• Guide engineering teams throughout implementation and delivery.
• Review technical designs and architecture decisions.
• Promote best practices for security, governance, scalability, and performance.
• Mentor developers, technical leads, and engineering teams.

Innovation & Strategy

• Stay updated on emerging AWS, AI/GenAI, and SaaS technologies.
• Evaluate new tools, frameworks, and accelerators.
• Develop reusable reference architectures, templates, and solution assets.
• Drive adoption of AI-first and cloud-native design principles.

Must-Have Skills

• AWS Well-Architected Framework
• Cloud Migration Strategy & Execution
• EC2, Lambda, ECS/EKS
• API Gateway
• RDS, DynamoDB
• S3, CloudFront
• IAM, VPC
• Event Bridge, Step Functions
• Infrastructure as Code (CloudFormation/Terraform)

Data & Analytics

• Data Lakes
• Data Warehousing
• ETL/ELT Processes
• Analytics Platforms
• Snowflake
• Amazon Redshift

AI / GenAI

• Retrieval-Augmented Generation (RAG)
• AI Agents
• Prompt Engineering
• OpenAI and/or Amazon Bedrock
• Vector Databases
• AI Integration into Enterprise Applications
• Subscription and Billing Models
• API-First Design
• SaaS Scalability Patterns

Architecture & Engineering

• REST APIs
• Docker
• DevSecOps

Consulting & Communication

• Customer-facing consulting experience
• Strong communication and presentation skills
• Technical leadership and stakeholder management
• Problem-solving and analytical thinking
• Experience working with CXOs and senior stakeholders
• Excellent documentation and solution-writing skills

Preferred Skills

• Databricks
• Graph Technologies
• Experience with enterprise digital transformation initiatives
• AI-powered business solution design
• Cross-functional leadership in global delivery environments
• Experience supporting customers within European business hours
• Candidates with prior experience in consumer-focused industries such as Retail, eCommerce, D2C, Gaming, Hospitality, and Consumer Services will be preferred.
• Functional understanding of customer journeys, digital commerce, customer experience, and industry-specific business processes will be an added advantage.

Education & Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• AWS Certifications (Solutions Architect Associate/Professional) preferred.
• Cloud, AI, Data, or Enterprise Architecture certifications are a plus.
• 8+ years of experience in software engineering, cloud architecture, or solution architecture roles.
• Proven experience designing and delivering enterprise-scale cloud and SaaS solutions.