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5 Winwire Full Time Jobs Hiring Near You

WinWire

AWS Cloud Technical Architect - Gen AI

Alameda, CA · On-site

$73.50 - $96.25/hr

Job Type : Full-Time / Contract with WinWire : We are seeking an experienced Technical Architect with deep expertise in AWS Cloud architecture and Generative AI (GenAI) solutions. The ideal candidate ...

WinWire

Senior Software Engineer - Java Python AI

San Jose, CA · On-site

$143.60K - $189.30K/yr

Job Type : Full-Time / Direct Hire with WinWire : We are hiring a Senior Software Engineer to build and own automation that scales our support experience-turning Slack/office-hours requests into high ...

WinWire

Azure Infrastructure Architect

Chicago, IL · On-site

Open for Full-Time (FTE) or Contract Experience: 18+ Years We are seeking a Senior Azure Infrastructure Architect with strong experience in cloud architecture, observability platforms, and modern ...

WinWire

Business Analyst

Foster City, CA · On-site

Job Type : Full-Time / Contract Location : Foster City, CA We are seeking a Business Analyst with experience in requirement gathering, documentation, and stakeholder engagement within the clinical ...

WinWire

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Alameda, CA 94502 Job Type : Full-Time / Contract We are seeking a highly skilled AWS Data Architect with experience in Salesforce and Tableau integration to design, develop, and maintain scalable ...

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What are the key skills and qualifications needed to thrive as a Full-Time Employee, and why are they important?

To thrive as a full-time employee, you need a strong work ethic, time management skills, and relevant job-specific qualifications or education. Familiarity with industry-standard tools, productivity software, or certifications related to your role is often expected. Reliability, adaptability, and effective communication are critical soft skills that help you excel in team environments. These skills and qualities are important for consistently meeting job expectations, contributing to organizational goals, and advancing your career.

What are some common challenges professionals face when transitioning to a full-time role from part-time or contract work?

Transitioning to a full-time position often involves adapting to a more structured schedule, increased workload, and higher expectations for long-term commitment and team collaboration. Full-time roles typically require deeper integration into company culture and more involvement in ongoing projects, which can be a significant adjustment for those used to flexible or project-based work. Additionally, full-time employees may encounter new responsibilities such as regular meetings, performance reviews, and opportunities for professional development within the organization.

What does it mean to work a full-time job?

A full-time job typically refers to a position where an employee works a standard number of hours set by their employer, usually around 35 to 40 hours per week. Full-time employees often receive benefits such as health insurance, paid time off, and retirement plan options, which may not be available to part-time workers. The exact definition of full-time can vary by company and country, but it generally signifies a long-term, regular commitment to the employer.

What is the difference between Full Time vs Part Time?

AspectFull TimePart Time
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
BenefitsUsually includes health insurance, paid leave, retirement plansLimited or no benefits
Job SecurityGenerally higherLess job security
Work EnvironmentConsistent schedule, full integration into companyFlexible schedule, often separate from full-time staff

Full Time jobs involve working standard hours with benefits and greater job security, while Part Time roles offer more flexibility with fewer benefits. The choice depends on your work-life balance needs and career goals.

Infographic showing various Full Time job openings at Winwire in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

AWS Cloud Technical Architect - Gen AI

WinWire

Alameda, CA • On-site

$73.50 - $96.25/hr

Full-time

Posted 19 days ago

Job description

Job Type : Full-Time / Contract with WinWire
Job Description :
We are seeking an experienced Technical Architect with deep expertise in AWS Cloud architecture and Generative AI (GenAI) solutions. The ideal candidate will design and lead the implementation of scalable, secure, and production-grade cloud architectures while integrating advanced GenAI capabilities such as LLM-powered applications, RAG systems, and AI-driven automation. This role requires strong architectural vision, hands-on AWS experience, and a solid understanding of modern AI ecosystems.
  • Design end-to-end Cloud-native architectures on AWS aligned with business and technical requirements
  • Architect and implement Generative AI solutions using LLMs, RAG pipelines, and AI orchestration frameworks
  • Lead technical design discussions and produce high- and low-level architecture documentation
  • Define best practices for scalability, security, reliability, and cost optimization
  • Design multi-account AWS environments using Well-Architected principles
  • Integrate AI services into enterprise systems and microservices architectures
  • Provide technical leadership and mentorship to engineering teams
  • Establish governance, data security, and responsible AI practices
  • Evaluate emerging GenAI technologies and recommend appropriate solutions
  • Collaborate with stakeholders, product managers, and DevOps teams to deliver robust solutions
  • Experience Range - 10-12 Years; B.E/B.Tech Graduate in the field of Technology
  • Strong collaboration and communication skills to work effectively with diverse teams and stakeholders

Skills & Experience :
  • 5+ years of strong experience in AWS which should include below services - AWS Lambda, Amazon EC2, Amazon ECS / EKS, S3, RDS / Aurora, DynamoDB, Amazon API Gateway, AWS Step Functions, OpenSearch, Bedrock, AWS IAM, AWS CloudFormation / Terraform and CloudWatch
  • Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs)
  • Cost optimization and performance tuning; Experience with serverless and Microservices-based architectures;
  • Multi-region deployment and high-availability design; Hands-on with Amazon Bedrock and managed AI services;
  • RAG (Retrieval-Augmented Generation) architecture design
  • Vector databases (e.g., OpenSearch, Pinecone, FAISS); Prompt engineering and evaluation frameworks
  • AI model integration into enterprise applications; Understanding of AI security, guardrails, and compliance

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