AI/AWS Cloud Architect

AWS Architect (Hands-On) / AI Enablement Lead

Location: San Diego, CA - Hybrid
(Approximately 3 days onsite; flexibility based on team collaboration needs)
Employment Type: Contract-to-Hire

Overview

We're looking for a hands-on AWS Architect who's excited to help enable and scale AI capabilities across a large, complex enterprise environment. This role is ideal for a strong cloud architect who wants to grow into AI/ML and generative AI solutions while staying deeply technical.
You'll work in an environment with hundreds of enterprise applications-from legacy systems to modern low-code platforms-where AWS is the cloud backbone and AI adoption is rapidly accelerating. While experience building AI agents or working with Amazon Bedrock is a plus, deep AWS expertise, serverless engineering skills, and the curiosity to learn AI frameworks quickly are the real must-haves.
This is a highly impactful role with visibility across teams, where you'll influence architecture decisions, build working solutions, and help shape the organization's AI enablement roadmap.

What You'll Do

AI Architecture & Hands-On Build

• Design and implement AI-enabled solutions on AWS, with a growing focus on generative AI and orchestration patterns.
• Support the development of AI agents, multi-agent workflows, and intelligent automation.
• Build and evolve knowledge bases, retrieval pipelines, prompts, and guardrails.
• Develop serverless AWS components including:
  • AWS Lambda
  • API Gateway
  • S3
  • DynamoDB
  • Step Functions
• Create lightweight integrations and low-code connectors using serverless services to embed AI into existing applications.

Technical Leadership & Enablement

• Serve as a hands-on AWS subject matter expert who grows into an AI solutions advisor.
• Mentor development teams (including low-code teams) on scalable cloud and AI integration patterns.
• Rapidly research and evaluate new AI tools, models, and frameworks, applying them pragmatically.
• Provide architectural guidance, unblock technical challenges, and propose reusable solution patterns.

Cross-Functional Collaboration

• Partner with cloud architects, application teams, and product owners to deliver end-to-end solutions.
• Evaluate feasibility for AI-driven enhancements and help scope implementation efforts.
• Support integration across data platforms, low-code tools, and enterprise applications.

Cloud AI Exposure

• AWS is the primary platform for this role.
• Exposure to-or willingness to learn-additional platforms is valued:
  • Google Vertex AI (secondary)
  • Microsoft Copilot / Azure OpenAI (training supported on the job)

Operational & Process Contributions

• Contribute to AI governance, model lifecycle best practices, and cost optimization discussions.
• Help define reference architectures and reusable cloud/AI patterns.
• Participate in technical interviews and candidate evaluations for cloud and AI engineering roles.

What You Bring

Core AWS Expertise (Required)

• Strong hands-on experience architecting and building AWS-native solutions.
• Deep experience with:
  • AWS Lambda, API Gateway, S3, DynamoDB
  • IAM and security best practices
  • Event-driven and serverless architectures
  • Designing, building, and consuming APIs
• Experience integrating AWS services into enterprise-scale applications.
• Demonstrated ability to learn new technologies quickly, especially AI/ML tooling.

AI / LLM Experience (Nice-to-Have, Trainable)

Experience with any of the following is helpful but not required for strong AWS candidates:

• Amazon Bedrock models (Anthropic, Titan, Llama, Cohere)
• AI agent frameworks, retrieval workflows, and prompt engineering
• OpenAI or Anthropic API integration using Lambda
• Amazon SageMaker or legacy ML workflows

Software Engineering & Integration

• Strong API integration experience.
• Familiarity with CI/CD pipelines, DevOps practices, and Git-based workflows.
• Experience with or interest in low-code platforms (such as OutSystems, Power Apps, ServiceNow).

Leadership & Problem-Solving

• Ability to guide teams and recommend scalable architectural solutions.
• Strong research mindset with curiosity about emerging AI technologies.
• Clear, confident communication with both technical and non-technical stakeholders.

Preferred Experience

• Experience working in large, enterprise environments.
• Exposure to low-code platform integrations.
• Hands-on development of AI prototypes, pilots, or proofs of concept.

Additional Opportunities in This Role

AI Strategy & Roadmap

• Contribute to an organization-wide AI enablement strategy.
• Help identify and prioritize high-value AI use cases.

Enablement & Change Management

• Support development of training content, workshops, and internal documentation.

Innovation Leadership

• Propose new AI-driven approaches, architectures, and automation ideas.

Governance & Responsible AI

• Participate in AI governance, ethics, and responsible-use discussions.

Measurement & Reporting

• Help define success metrics, KPIs, and operational dashboards for AI initiatives.

Why This Role?

• Grow your career from a seasoned AWS architect into a hands-on AI solution builder.
• Work with modern cloud, AI, and automation technologies at meaningful scale.
• Make a visible impact across a large enterprise with real production use cases.
• Collaborate with teams that value innovation, experimentation, and continuous learning.

Job Type & Location
This is a Contract to Hire position based out of San Diego, CA.
Pay and Benefits
The pay range for this position is $80.00 - $100.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in San Diego,CA.
Application Deadline
This position is anticipated to close on Feb 6, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.